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Intuit is seeking highly motivated individuals to join our dynamic team as dedicated year-round TurboTax Local Service Experts in one of our new TurboTax locations across the United States. This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to help customers navigate their tax needs. As a TurboTax - Local Service Expert, you will serve as a trusted advisor, empowering customers to achieve positive financial outcomes while supporting Intuit’s mission of “Powering Prosperity Around the World.” About the Role: In this role, you will work on-site from a TurboTax location as part of a collaborative team of financial experts, serving in-person and virtual customers who use Intuit TurboTax products. Your primary focus will be full-service tax return preparation, providing expert tax advice, calculations, and software support, but your responsibility extends beyond that. You will be the connective tissue between your customers and a broader team of specialists covering business tax preparation, bookkeeping, payroll, financial planning, and advisory services. This is not a hand-off model. You will sit in the same customer meetings, absorb the same context, and build a shared understanding of each customer's complete financial picture, then work in lock-step with the right experts to deliver a seamless, end-to-end Intuit experience. Your ability to understand each customer's unique situation and connect with them on a personal level is critical. Taxes can be stressful, and your presence as a trusted, knowledgeable guide makes all the difference whether you're helping with a straightforward W-2 filing, navigating a major life event like marriage, a new child, or elder care, or tackling more complex scenarios involving business income, investments, or amendments. Additionally, you will play a key role in growing TurboTax’s client base within the local community, attracting new clients, establishing long-term relationships, and driving customer loyalty. You will leverage TurboTax marketing support and software to empower you in building a thriving business that fosters prosperity for both you and your community. This role is nonexempt and requires onsite presence at a TurboTax location in the United States. What You’ll Do: Provide Tax Expertise - Give hands-on tax advice and complete preparation services for TurboTax clients, handling simple to complex tax situations (e.g., personal and business income, deductions optimization, amendments). Facilitate discovery sessions and tax reviews to uncover deductions, minimize tax liabilities, maximize refunds, and provide future tax planning advice. Utilize resources such as government websites, professional tools, and team expertise to deliver accurate tax solutions in personalized everyday language. Be a Proactive Community Ambassador - Embody a “community ambassador” and “business owner” mindset to actively build and grow a new local customer base for TurboTax. As a primary driver of local growth, you will own your market — identifying and pursuing prospects through targeted outreach, grass-roots marketing initiatives, referral networks, and community partnerships. Serve as the local face of TurboTax, converting new prospects into loyal, long-term clients. Organize and lead local events such as financial literacy workshops, community pop-ups, and networking gatherings with the support of TurboTax marketing tools and resources, to create consistent opportunities for customer engagement and brand awareness. Champion the Full Intuit Ecosystem - Act as a trusted guide for every client by developing a deep understanding of their complete financial picture and connecting them with the Intuit solutions best positioned to move them forward. As you build relationships through tax engagements and collaborative client meetings, identify opportunities to introduce clients to complementary services such as bookkeeping, payroll, financial planning, or Credit Karma that meaningfully address their needs. Your role is not simply to deliver a service, but to ensure every client leaves with a clearer path and the full weight of Intuit's resources behind them for year-round support. Build Relationships - Connect with people, demonstrate understanding and sensitivity to their financial concerns and build the long-term trust that turns a one-time transaction into a loyal, multi-year relationship. Deliver a Best in Class Customer Experience - Create an exceptional customer experience, professionalism, and genuine interest in helping clients achieve their financial goals (e.g., saving for retirement, college funds, weddings, or vacations). - Interact with customers both in-person and through Intuit’s state-of-the-art video communication tools. Address client inquiries while helping them overcome tax-related challenges. What You Get: As a TurboTax - Local Service Expert, you’ll receive access to exceptional company benefits and resources, including: 401(k) Savings Plan with company matching, paid sick time, Employee Stock Purchase Plan, E&O Insurance provided by Intuit, Employee Assistance Program discounts on Intuit products including a free copy of TurboTax, ongoing collaboration opportunities with TurboTax’s network of growth-minded professionals and marketing support Key Qualifications Who You Are: • EA (Enrolled Agent), CPA (Certified Public Accountant), or Practicing Attorney with strong tax preparation experience and extensive knowledge of tax laws preferred., • Have an active Preparer Tax Identification Number (PTIN) as required by law to file taxes., • Minimum of 3 years of paid experience filing 30 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software.Familiarity with Circular 230, • Willing to upskill into additional service types or more complex work areas (e.g., bookkeeping, payroll, business tax advisory) with training provided by Intuit, • Must be comfortable working onsite at a TurboTax office location, primarily between the hours of 8:00 AM – 5:00 PM local time, Monday through Friday, for a minimum of 20 hours per week. Operating hours are subject to change and will likely scale up during periods of peak customer demand, such as tax season, • Must be willing and able to complete all required training and development as determined by the business including, but not limited to, compliance training, proficiency-based up-skilling, cross-training of other products or offerings, and professional development. Training requirements are subject to change based on business needs and the company reserves the right to introduce additional requirements at any time, • Must be willing to wear Intuit provided uniforms. Must be willing to use your name, picture for advertising on goggle., • Interest in building a local and online social presence as a TurboTax Expert, creating accessible tax-related content and resources for your community in accordance with Intuit’s policies, • Bilingual (English/Spanish) communication skills are a plus, • Experience in holistic tax advisory services beyond tax filing Attributes & Skills: • Passionate about empowering customers and helping them overcome the complexities of taxation., • Passionate about your local community and excited to work with Intuit to engage with and build Intuit’s presence in your local community (e.g., speaking at events, building a local and online social presence, creating content such as tax tips and educational videos)., • Entrepreneurial and self-driven with a business ownership mindset to grow your customer portfolio., • Exceptional customer service skills, high empathy, and a friendly, professional demeanor., • Excited to be showcased as a TurboTax - Local Service Expert in local and national marketing efforts., • Strong verbal and written communication skills., • Ability to work in a fast-paced environment independently while managing multiple priorities., • Proficient with technology, including tax preparation software and CRM/sales tools. Additional Requirements: • Must reside within the United States., • Must possess or be able to obtain any related State licenses, certificates, permits, or bonds. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is California (Bay Area): $27.00 - $41.00 Southern California: $27.00 - $41.00 Colorado: $26.00 - $39.00 Hawaii: $27.00 - $41.00 Illinois: $26.00 - $39.00 Maine: $23.50 - $35.00 Maryland: $26.00 - $39.00 Massachusetts: $29.50 - $34.47 Minnesota: $23.50 - $35.00 New Jersey: $27.00 - $41.00 New York: $27.00 - $41.00 Ohio: $23.50 - $35.00 Vermont: $26.00 - $39.00 Virginia: $26.00 - $39.00 Washington: $27.00 - $41.00 Washington, DC: $26.00 - $39.00 This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at _). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated year-round TurboTax Local Service Experts in one of our new TurboTax locations across the United States. This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to help customers navigate their tax needs. As a TurboTax - Local Service Expert, you will serve as a trusted advisor, empowering customers to achieve positive financial outcomes while supporting Intuit’s mission of “Powering Prosperity Around the World.” About the Role: In this role, you will work on-site from a TurboTax location as part of a collaborative team of financial experts, serving in-person and virtual customers who use Intuit TurboTax products. Your primary focus will be full-service tax return preparation, providing expert tax advice, calculations, and software support, but your responsibility extends beyond that. You will be the connective tissue between your customers and a broader team of specialists covering business tax preparation, bookkeeping, payroll, financial planning, and advisory services. This is not a hand-off model. You will sit in the same customer meetings, absorb the same context, and build a shared understanding of each customer's complete financial picture, then work in lock-step with the right experts to deliver a seamless, end-to-end Intuit experience. Your ability to understand each customer's unique situation and connect with them on a personal level is critical. Taxes can be stressful, and your presence as a trusted, knowledgeable guide makes all the difference whether you're helping with a straightforward W-2 filing, navigating a major life event like marriage, a new child, or elder care, or tackling more complex scenarios involving business income, investments, or amendments. Additionally, you will play a key role in growing TurboTax’s client base within the local community, attracting new clients, establishing long-term relationships, and driving customer loyalty. You will leverage TurboTax marketing support and software to empower you in building a thriving business that fosters prosperity for both you and your community. This role is nonexempt and requires onsite presence at a TurboTax location in the United States. What You’ll Do: Provide Tax Expertise - Give hands-on tax advice and complete preparation services for TurboTax clients, handling simple to complex tax situations (e.g., personal and business income, deductions optimization, amendments). Facilitate discovery sessions and tax reviews to uncover deductions, minimize tax liabilities, maximize refunds, and provide future tax planning advice. Utilize resources such as government websites, professional tools, and team expertise to deliver accurate tax solutions in personalized everyday language. Be a Proactive Community Ambassador - Embody a “community ambassador” and “business owner” mindset to actively build and grow a new local customer base for TurboTax. As a primary driver of local growth, you will own your market — identifying and pursuing prospects through targeted outreach, grass-roots marketing initiatives, referral networks, and community partnerships. Serve as the local face of TurboTax, converting new prospects into loyal, long-term clients. Organize and lead local events such as financial literacy workshops, community pop-ups, and networking gatherings with the support of TurboTax marketing tools and resources, to create consistent opportunities for customer engagement and brand awareness. Champion the Full Intuit Ecosystem - Act as a trusted guide for every client by developing a deep understanding of their complete financial picture and connecting them with the Intuit solutions best positioned to move them forward. As you build relationships through tax engagements and collaborative client meetings, identify opportunities to introduce clients to complementary services such as bookkeeping, payroll, financial planning, or Credit Karma that meaningfully address their needs. Your role is not simply to deliver a service, but to ensure every client leaves with a clearer path and the full weight of Intuit's resources behind them for year-round support. Build Relationships - Connect with people, demonstrate understanding and sensitivity to their financial concerns and build the long-term trust that turns a one-time transaction into a loyal, multi-year relationship. Deliver a Best in Class Customer Experience - Create an exceptional customer experience, professionalism, and genuine interest in helping clients achieve their financial goals (e.g., saving for retirement, college funds, weddings, or vacations). - Interact with customers both in-person and through Intuit’s state-of-the-art video communication tools. Address client inquiries while helping them overcome tax-related challenges. What You Get: As a TurboTax - Local Service Expert, you’ll receive access to exceptional company benefits and resources, including: 401(k) Savings Plan with company matching, paid sick time, Employee Stock Purchase Plan, E&O Insurance provided by Intuit, Employee Assistance Program discounts on Intuit products including a free copy of TurboTax, ongoing collaboration opportunities with TurboTax’s network of growth-minded professionals and marketing support Key Qualifications Who You Are: • EA (Enrolled Agent), CPA (Certified Public Accountant), or Practicing Attorney with strong tax preparation experience and extensive knowledge of tax laws preferred., • Have an active Preparer Tax Identification Number (PTIN) as required by law to file taxes., • Minimum of 3 years of paid experience filing 30 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software.Familiarity with Circular 230, • Willing to upskill into additional service types or more complex work areas (e.g., bookkeeping, payroll, business tax advisory) with training provided by Intuit, • Must be comfortable working onsite at a TurboTax office location, primarily between the hours of 8:00 AM – 5:00 PM local time, Monday through Friday, for a minimum of 20 hours per week. Operating hours are subject to change and will likely scale up during periods of peak customer demand, such as tax season, • Must be willing and able to complete all required training and development as determined by the business including, but not limited to, compliance training, proficiency-based up-skilling, cross-training of other products or offerings, and professional development. Training requirements are subject to change based on business needs and the company reserves the right to introduce additional requirements at any time, • Must be willing to wear Intuit provided uniforms. Must be willing to use your name, picture for advertising on goggle., • Interest in building a local and online social presence as a TurboTax Expert, creating accessible tax-related content and resources for your community in accordance with Intuit’s policies, • Bilingual (English/Spanish) communication skills are a plus, • Experience in holistic tax advisory services beyond tax filing Attributes & Skills: • Passionate about empowering customers and helping them overcome the complexities of taxation., • Passionate about your local community and excited to work with Intuit to engage with and build Intuit’s presence in your local community (e.g., speaking at events, building a local and online social presence, creating content such as tax tips and educational videos)., • Entrepreneurial and self-driven with a business ownership mindset to grow your customer portfolio., • Exceptional customer service skills, high empathy, and a friendly, professional demeanor., • Excited to be showcased as a TurboTax - Local Service Expert in local and national marketing efforts., • Strong verbal and written communication skills., • Ability to work in a fast-paced environment independently while managing multiple priorities., • Proficient with technology, including tax preparation software and CRM/sales tools. Additional Requirements: • Must reside within the United States., • Must possess or be able to obtain any related State licenses, certificates, permits, or bonds. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is California (Bay Area): $27.00 - $41.00 Southern California: $27.00 - $41.00 Colorado: $26.00 - $39.00 Hawaii: $27.00 - $41.00 Illinois: $26.00 - $39.00 Maine: $23.50 - $35.00 Maryland: $26.00 - $39.00 Massachusetts: $29.50 - $34.47 Minnesota: $23.50 - $35.00 New Jersey: $27.00 - $41.00 New York: $27.00 - $41.00 Ohio: $23.50 - $35.00 Vermont: $26.00 - $39.00 Virginia: $26.00 - $39.00 Washington: $27.00 - $41.00 Washington, DC: $26.00 - $39.00 This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at _). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated year-round TurboTax Local Service Experts in one of our new TurboTax locations across the United States. This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to help customers navigate their tax needs. As a TurboTax - Local Service Expert, you will serve as a trusted advisor, empowering customers to achieve positive financial outcomes while supporting Intuit’s mission of “Powering Prosperity Around the World.” About the Role: In this role, you will work on-site from a TurboTax location as part of a collaborative team of financial experts, serving in-person and virtual customers who use Intuit TurboTax products. Your primary focus will be full-service tax return preparation, providing expert tax advice, calculations, and software support, but your responsibility extends beyond that. You will be the connective tissue between your customers and a broader team of specialists covering business tax preparation, bookkeeping, payroll, financial planning, and advisory services. This is not a hand-off model. You will sit in the same customer meetings, absorb the same context, and build a shared understanding of each customer's complete financial picture, then work in lock-step with the right experts to deliver a seamless, end-to-end Intuit experience. Your ability to understand each customer's unique situation and connect with them on a personal level is critical. Taxes can be stressful, and your presence as a trusted, knowledgeable guide makes all the difference whether you're helping with a straightforward W-2 filing, navigating a major life event like marriage, a new child, or elder care, or tackling more complex scenarios involving business income, investments, or amendments. Additionally, you will play a key role in growing TurboTax’s client base within the local community, attracting new clients, establishing long-term relationships, and driving customer loyalty. You will leverage TurboTax marketing support and software to empower you in building a thriving business that fosters prosperity for both you and your community. This role is nonexempt and requires onsite presence at a TurboTax location in the United States. What You’ll Do: Provide Tax Expertise - Give hands-on tax advice and complete preparation services for TurboTax clients, handling simple to complex tax situations (e.g., personal and business income, deductions optimization, amendments). Facilitate discovery sessions and tax reviews to uncover deductions, minimize tax liabilities, maximize refunds, and provide future tax planning advice. Utilize resources such as government websites, professional tools, and team expertise to deliver accurate tax solutions in personalized everyday language. Be a Proactive Community Ambassador - Embody a “community ambassador” and “business owner” mindset to actively build and grow a new local customer base for TurboTax. As a primary driver of local growth, you will own your market — identifying and pursuing prospects through targeted outreach, grass-roots marketing initiatives, referral networks, and community partnerships. Serve as the local face of TurboTax, converting new prospects into loyal, long-term clients. Organize and lead local events such as financial literacy workshops, community pop-ups, and networking gatherings with the support of TurboTax marketing tools and resources, to create consistent opportunities for customer engagement and brand awareness. Champion the Full Intuit Ecosystem - Act as a trusted guide for every client by developing a deep understanding of their complete financial picture and connecting them with the Intuit solutions best positioned to move them forward. As you build relationships through tax engagements and collaborative client meetings, identify opportunities to introduce clients to complementary services such as bookkeeping, payroll, financial planning, or Credit Karma that meaningfully address their needs. Your role is not simply to deliver a service, but to ensure every client leaves with a clearer path and the full weight of Intuit's resources behind them for year-round support. Build Relationships - Connect with people, demonstrate understanding and sensitivity to their financial concerns and build the long-term trust that turns a one-time transaction into a loyal, multi-year relationship. Deliver a Best in Class Customer Experience - Create an exceptional customer experience, professionalism, and genuine interest in helping clients achieve their financial goals (e.g., saving for retirement, college funds, weddings, or vacations). - Interact with customers both in-person and through Intuit’s state-of-the-art video communication tools. Address client inquiries while helping them overcome tax-related challenges. What You Get: As a TurboTax - Local Service Expert, you’ll receive access to exceptional company benefits and resources, including: 401(k) Savings Plan with company matching, paid sick time, Employee Stock Purchase Plan, E&O Insurance provided by Intuit, Employee Assistance Program discounts on Intuit products including a free copy of TurboTax, ongoing collaboration opportunities with TurboTax’s network of growth-minded professionals and marketing support Key Qualifications Who You Are: • EA (Enrolled Agent), CPA (Certified Public Accountant), or Practicing Attorney with strong tax preparation experience and extensive knowledge of tax laws preferred., • Have an active Preparer Tax Identification Number (PTIN) as required by law to file taxes., • Minimum of 3 years of paid experience filing 30 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software.Familiarity with Circular 230, • Willing to upskill into additional service types or more complex work areas (e.g., bookkeeping, payroll, business tax advisory) with training provided by Intuit, • Must be comfortable working onsite at a TurboTax office location, primarily between the hours of 8:00 AM – 5:00 PM local time, Monday through Friday, for a minimum of 20 hours per week. Operating hours are subject to change and will likely scale up during periods of peak customer demand, such as tax season, • Must be willing and able to complete all required training and development as determined by the business including, but not limited to, compliance training, proficiency-based up-skilling, cross-training of other products or offerings, and professional development. Training requirements are subject to change based on business needs and the company reserves the right to introduce additional requirements at any time, • Must be willing to wear Intuit provided uniforms. Must be willing to use your name, picture for advertising on goggle., • Interest in building a local and online social presence as a TurboTax Expert, creating accessible tax-related content and resources for your community in accordance with Intuit’s policies, • Bilingual (English/Spanish) communication skills are a plus, • Experience in holistic tax advisory services beyond tax filing Attributes & Skills: • Passionate about empowering customers and helping them overcome the complexities of taxation., • Passionate about your local community and excited to work with Intuit to engage with and build Intuit’s presence in your local community (e.g., speaking at events, building a local and online social presence, creating content such as tax tips and educational videos)., • Entrepreneurial and self-driven with a business ownership mindset to grow your customer portfolio., • Exceptional customer service skills, high empathy, and a friendly, professional demeanor., • Excited to be showcased as a TurboTax - Local Service Expert in local and national marketing efforts., • Strong verbal and written communication skills., • Ability to work in a fast-paced environment independently while managing multiple priorities., • Proficient with technology, including tax preparation software and CRM/sales tools. Additional Requirements: • Must reside within the United States., • Must possess or be able to obtain any related State licenses, certificates, permits, or bonds. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is California (Bay Area): $27.00 - $41.00 Southern California: $27.00 - $41.00 Colorado: $26.00 - $39.00 Hawaii: $27.00 - $41.00 Illinois: $26.00 - $39.00 Maine: $23.50 - $35.00 Maryland: $26.00 - $39.00 Massachusetts: $29.50 - $34.47 Minnesota: $23.50 - $35.00 New Jersey: $27.00 - $41.00 New York: $27.00 - $41.00 Ohio: $23.50 - $35.00 Vermont: $26.00 - $39.00 Virginia: $26.00 - $39.00 Washington: $27.00 - $41.00 Washington, DC: $26.00 - $39.00 This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at _). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated year-round TurboTax Local Service Experts in one of our new TurboTax locations across the United States. This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to help customers navigate their tax needs. As a TurboTax - Local Service Expert, you will serve as a trusted advisor, empowering customers to achieve positive financial outcomes while supporting Intuit’s mission of “Powering Prosperity Around the World.” About the Role: In this role, you will work on-site from a TurboTax location as part of a collaborative team of financial experts, serving in-person and virtual customers who use Intuit TurboTax products. Your primary focus will be full-service tax return preparation, providing expert tax advice, calculations, and software support, but your responsibility extends beyond that. You will be the connective tissue between your customers and a broader team of specialists covering business tax preparation, bookkeeping, payroll, financial planning, and advisory services. This is not a hand-off model. You will sit in the same customer meetings, absorb the same context, and build a shared understanding of each customer's complete financial picture, then work in lock-step with the right experts to deliver a seamless, end-to-end Intuit experience. Your ability to understand each customer's unique situation and connect with them on a personal level is critical. Taxes can be stressful, and your presence as a trusted, knowledgeable guide makes all the difference whether you're helping with a straightforward W-2 filing, navigating a major life event like marriage, a new child, or elder care, or tackling more complex scenarios involving business income, investments, or amendments. Additionally, you will play a key role in growing TurboTax’s client base within the local community, attracting new clients, establishing long-term relationships, and driving customer loyalty. You will leverage TurboTax marketing support and software to empower you in building a thriving business that fosters prosperity for both you and your community. This role is nonexempt and requires onsite presence at a TurboTax location in the United States. What You’ll Do: Provide Tax Expertise - Give hands-on tax advice and complete preparation services for TurboTax clients, handling simple to complex tax situations (e.g., personal and business income, deductions optimization, amendments). Facilitate discovery sessions and tax reviews to uncover deductions, minimize tax liabilities, maximize refunds, and provide future tax planning advice. Utilize resources such as government websites, professional tools, and team expertise to deliver accurate tax solutions in personalized everyday language. Be a Proactive Community Ambassador - Embody a “community ambassador” and “business owner” mindset to actively build and grow a new local customer base for TurboTax. As a primary driver of local growth, you will own your market — identifying and pursuing prospects through targeted outreach, grass-roots marketing initiatives, referral networks, and community partnerships. Serve as the local face of TurboTax, converting new prospects into loyal, long-term clients. Organize and lead local events such as financial literacy workshops, community pop-ups, and networking gatherings with the support of TurboTax marketing tools and resources, to create consistent opportunities for customer engagement and brand awareness. Champion the Full Intuit Ecosystem - Act as a trusted guide for every client by developing a deep understanding of their complete financial picture and connecting them with the Intuit solutions best positioned to move them forward. As you build relationships through tax engagements and collaborative client meetings, identify opportunities to introduce clients to complementary services such as bookkeeping, payroll, financial planning, or Credit Karma that meaningfully address their needs. Your role is not simply to deliver a service, but to ensure every client leaves with a clearer path and the full weight of Intuit's resources behind them for year-round support. Build Relationships - Connect with people, demonstrate understanding and sensitivity to their financial concerns and build the long-term trust that turns a one-time transaction into a loyal, multi-year relationship. Deliver a Best in Class Customer Experience - Create an exceptional customer experience, professionalism, and genuine interest in helping clients achieve their financial goals (e.g., saving for retirement, college funds, weddings, or vacations). - Interact with customers both in-person and through Intuit’s state-of-the-art video communication tools. Address client inquiries while helping them overcome tax-related challenges. What You Get: As a TurboTax - Local Service Expert, you’ll receive access to exceptional company benefits and resources, including: 401(k) Savings Plan with company matching, paid sick time, Employee Stock Purchase Plan, E&O Insurance provided by Intuit, Employee Assistance Program discounts on Intuit products including a free copy of TurboTax, ongoing collaboration opportunities with TurboTax’s network of growth-minded professionals and marketing support Key Qualifications Who You Are: • EA (Enrolled Agent), CPA (Certified Public Accountant), or Practicing Attorney with strong tax preparation experience and extensive knowledge of tax laws preferred., • Have an active Preparer Tax Identification Number (PTIN) as required by law to file taxes., • Minimum of 3 years of paid experience filing 30 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software.Familiarity with Circular 230, • Willing to upskill into additional service types or more complex work areas (e.g., bookkeeping, payroll, business tax advisory) with training provided by Intuit, • Must be comfortable working onsite at a TurboTax office location, primarily between the hours of 8:00 AM – 5:00 PM local time, Monday through Friday, for a minimum of 20 hours per week. Operating hours are subject to change and will likely scale up during periods of peak customer demand, such as tax season, • Must be willing and able to complete all required training and development as determined by the business including, but not limited to, compliance training, proficiency-based up-skilling, cross-training of other products or offerings, and professional development. Training requirements are subject to change based on business needs and the company reserves the right to introduce additional requirements at any time, • Must be willing to wear Intuit provided uniforms. Must be willing to use your name, picture for advertising on goggle., • Interest in building a local and online social presence as a TurboTax Expert, creating accessible tax-related content and resources for your community in accordance with Intuit’s policies, • Bilingual (English/Spanish) communication skills are a plus, • Experience in holistic tax advisory services beyond tax filing Attributes & Skills: • Passionate about empowering customers and helping them overcome the complexities of taxation., • Passionate about your local community and excited to work with Intuit to engage with and build Intuit’s presence in your local community (e.g., speaking at events, building a local and online social presence, creating content such as tax tips and educational videos)., • Entrepreneurial and self-driven with a business ownership mindset to grow your customer portfolio., • Exceptional customer service skills, high empathy, and a friendly, professional demeanor., • Excited to be showcased as a TurboTax - Local Service Expert in local and national marketing efforts., • Strong verbal and written communication skills., • Ability to work in a fast-paced environment independently while managing multiple priorities., • Proficient with technology, including tax preparation software and CRM/sales tools. Additional Requirements: • Must reside within the United States., • Must possess or be able to obtain any related State licenses, certificates, permits, or bonds. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is California (Bay Area): $27.00 - $41.00 Southern California: $27.00 - $41.00 Colorado: $26.00 - $39.00 Hawaii: $27.00 - $41.00 Illinois: $26.00 - $39.00 Maine: $23.50 - $35.00 Maryland: $26.00 - $39.00 Massachusetts: $29.50 - $34.47 Minnesota: $23.50 - $35.00 New Jersey: $27.00 - $41.00 New York: $27.00 - $41.00 Ohio: $23.50 - $35.00 Vermont: $26.00 - $39.00 Virginia: $26.00 - $39.00 Washington: $27.00 - $41.00 Washington, DC: $26.00 - $39.00 This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated year-round TurboTax Local Service Experts in one of our new TurboTax locations across the United States. This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to help customers navigate their tax needs. As a TurboTax - Local Service Expert, you will serve as a trusted advisor, empowering customers to achieve positive financial outcomes while supporting Intuit’s mission of “Powering Prosperity Around the World.” About the Role: In this role, you will work on-site from a TurboTax location as part of a collaborative team of financial experts, serving in-person and virtual customers who use Intuit TurboTax products. Your primary focus will be full-service tax return preparation, providing expert tax advice, calculations, and software support, but your responsibility extends beyond that. You will be the connective tissue between your customers and a broader team of specialists covering business tax preparation, bookkeeping, payroll, financial planning, and advisory services. This is not a hand-off model. You will sit in the same customer meetings, absorb the same context, and build a shared understanding of each customer's complete financial picture, then work in lock-step with the right experts to deliver a seamless, end-to-end Intuit experience. Your ability to understand each customer's unique situation and connect with them on a personal level is critical. Taxes can be stressful, and your presence as a trusted, knowledgeable guide makes all the difference whether you're helping with a straightforward W-2 filing, navigating a major life event like marriage, a new child, or elder care, or tackling more complex scenarios involving business income, investments, or amendments. Additionally, you will play a key role in growing TurboTax’s client base within the local community, attracting new clients, establishing long-term relationships, and driving customer loyalty. You will leverage TurboTax marketing support and software to empower you in building a thriving business that fosters prosperity for both you and your community. This role is nonexempt and requires onsite presence at a TurboTax location in the United States. What You’ll Do: Provide Tax Expertise - Give hands-on tax advice and complete preparation services for TurboTax clients, handling simple to complex tax situations (e.g., personal and business income, deductions optimization, amendments). Facilitate discovery sessions and tax reviews to uncover deductions, minimize tax liabilities, maximize refunds, and provide future tax planning advice. Utilize resources such as government websites, professional tools, and team expertise to deliver accurate tax solutions in personalized everyday language. Be a Proactive Community Ambassador - Embody a “community ambassador” and “business owner” mindset to actively build and grow a new local customer base for TurboTax. As a primary driver of local growth, you will own your market — identifying and pursuing prospects through targeted outreach, grass-roots marketing initiatives, referral networks, and community partnerships. Serve as the local face of TurboTax, converting new prospects into loyal, long-term clients. Organize and lead local events such as financial literacy workshops, community pop-ups, and networking gatherings with the support of TurboTax marketing tools and resources, to create consistent opportunities for customer engagement and brand awareness. Champion the Full Intuit Ecosystem - Act as a trusted guide for every client by developing a deep understanding of their complete financial picture and connecting them with the Intuit solutions best positioned to move them forward. As you build relationships through tax engagements and collaborative client meetings, identify opportunities to introduce clients to complementary services such as bookkeeping, payroll, financial planning, or Credit Karma that meaningfully address their needs. Your role is not simply to deliver a service, but to ensure every client leaves with a clearer path and the full weight of Intuit's resources behind them for year-round support. Build Relationships - Connect with people, demonstrate understanding and sensitivity to their financial concerns and build the long-term trust that turns a one-time transaction into a loyal, multi-year relationship. Deliver a Best in Class Customer Experience - Create an exceptional customer experience, professionalism, and genuine interest in helping clients achieve their financial goals (e.g., saving for retirement, college funds, weddings, or vacations). - Interact with customers both in-person and through Intuit’s state-of-the-art video communication tools. Address client inquiries while helping them overcome tax-related challenges. What You Get: As a TurboTax - Local Service Expert, you’ll receive access to exceptional company benefits and resources, including: 401(k) Savings Plan with company matching, paid sick time, Employee Stock Purchase Plan, E&O Insurance provided by Intuit, Employee Assistance Program discounts on Intuit products including a free copy of TurboTax, ongoing collaboration opportunities with TurboTax’s network of growth-minded professionals and marketing support Key Qualifications Who You Are: • EA (Enrolled Agent), CPA (Certified Public Accountant), or Practicing Attorney with strong tax preparation experience and extensive knowledge of tax laws preferred., • Have an active Preparer Tax Identification Number (PTIN) as required by law to file taxes., • Minimum of 3 years of paid experience filing 30 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software.Familiarity with Circular 230, • Willing to upskill into additional service types or more complex work areas (e.g., bookkeeping, payroll, business tax advisory) with training provided by Intuit, • Must be comfortable working onsite at a TurboTax office location, primarily between the hours of 8:00 AM – 5:00 PM local time, Monday through Friday, for a minimum of 20 hours per week. Operating hours are subject to change and will likely scale up during periods of peak customer demand, such as tax season, • Must be willing and able to complete all required training and development as determined by the business including, but not limited to, compliance training, proficiency-based up-skilling, cross-training of other products or offerings, and professional development. Training requirements are subject to change based on business needs and the company reserves the right to introduce additional requirements at any time, • Must be willing to wear Intuit provided uniforms. Must be willing to use your name, picture for advertising on goggle., • Interest in building a local and online social presence as a TurboTax Expert, creating accessible tax-related content and resources for your community in accordance with Intuit’s policies, • Bilingual (English/Spanish) communication skills are a plus, • Experience in holistic tax advisory services beyond tax filing Attributes & Skills: • Passionate about empowering customers and helping them overcome the complexities of taxation., • Passionate about your local community and excited to work with Intuit to engage with and build Intuit’s presence in your local community (e.g., speaking at events, building a local and online social presence, creating content such as tax tips and educational videos)., • Entrepreneurial and self-driven with a business ownership mindset to grow your customer portfolio., • Exceptional customer service skills, high empathy, and a friendly, professional demeanor., • Excited to be showcased as a TurboTax - Local Service Expert in local and national marketing efforts., • Strong verbal and written communication skills., • Ability to work in a fast-paced environment independently while managing multiple priorities., • Proficient with technology, including tax preparation software and CRM/sales tools. Additional Requirements: • Must reside within the United States., • Must possess or be able to obtain any related State licenses, certificates, permits, or bonds. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is California (Bay Area): $27.00 - $41.00 Southern California: $27.00 - $41.00 Colorado: $26.00 - $39.00 Hawaii: $27.00 - $41.00 Illinois: $26.00 - $39.00 Maine: $23.50 - $35.00 Maryland: $26.00 - $39.00 Massachusetts: $29.50 - $34.47 Minnesota: $23.50 - $35.00 New Jersey: $27.00 - $41.00 New York: $27.00 - $41.00 Ohio: $23.50 - $35.00 Vermont: $26.00 - $39.00 Virginia: $26.00 - $39.00 Washington: $27.00 - $41.00 Washington, DC: $26.00 - $39.00 This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

Intuit is seeking highly motivated individuals to join our dynamic team as dedicated year-round TurboTax Local Service Experts in one of our new TurboTax locations across the United States. This unique opportunity combines tax expertise, entrepreneurial spirit, and community engagement to help customers navigate their tax needs. As a TurboTax - Local Service Expert, you will serve as a trusted advisor, empowering customers to achieve positive financial outcomes while supporting Intuit’s mission of “Powering Prosperity Around the World.” About the Role: In this role, you will work on-site from a TurboTax location as part of a collaborative team of financial experts, serving in-person and virtual customers who use Intuit TurboTax products. Your primary focus will be full-service tax return preparation, providing expert tax advice, calculations, and software support, but your responsibility extends beyond that. You will be the connective tissue between your customers and a broader team of specialists covering business tax preparation, bookkeeping, payroll, financial planning, and advisory services. This is not a hand-off model. You will sit in the same customer meetings, absorb the same context, and build a shared understanding of each customer's complete financial picture, then work in lock-step with the right experts to deliver a seamless, end-to-end Intuit experience. Your ability to understand each customer's unique situation and connect with them on a personal level is critical. Taxes can be stressful, and your presence as a trusted, knowledgeable guide makes all the difference whether you're helping with a straightforward W-2 filing, navigating a major life event like marriage, a new child, or elder care, or tackling more complex scenarios involving business income, investments, or amendments. Additionally, you will play a key role in growing TurboTax’s client base within the local community, attracting new clients, establishing long-term relationships, and driving customer loyalty. You will leverage TurboTax marketing support and software to empower you in building a thriving business that fosters prosperity for both you and your community. This role is nonexempt and requires onsite presence at a TurboTax location in the United States. What You’ll Do: Provide Tax Expertise - Give hands-on tax advice and complete preparation services for TurboTax clients, handling simple to complex tax situations (e.g., personal and business income, deductions optimization, amendments). Facilitate discovery sessions and tax reviews to uncover deductions, minimize tax liabilities, maximize refunds, and provide future tax planning advice. Utilize resources such as government websites, professional tools, and team expertise to deliver accurate tax solutions in personalized everyday language. Be a Proactive Community Ambassador - Embody a “community ambassador” and “business owner” mindset to actively build and grow a new local customer base for TurboTax. As a primary driver of local growth, you will own your market — identifying and pursuing prospects through targeted outreach, grass-roots marketing initiatives, referral networks, and community partnerships. Serve as the local face of TurboTax, converting new prospects into loyal, long-term clients. Organize and lead local events such as financial literacy workshops, community pop-ups, and networking gatherings with the support of TurboTax marketing tools and resources, to create consistent opportunities for customer engagement and brand awareness. Champion the Full Intuit Ecosystem - Act as a trusted guide for every client by developing a deep understanding of their complete financial picture and connecting them with the Intuit solutions best positioned to move them forward. As you build relationships through tax engagements and collaborative client meetings, identify opportunities to introduce clients to complementary services such as bookkeeping, payroll, financial planning, or Credit Karma that meaningfully address their needs. Your role is not simply to deliver a service, but to ensure every client leaves with a clearer path and the full weight of Intuit's resources behind them for year-round support. Build Relationships - Connect with people, demonstrate understanding and sensitivity to their financial concerns and build the long-term trust that turns a one-time transaction into a loyal, multi-year relationship. Deliver a Best in Class Customer Experience - Create an exceptional customer experience, professionalism, and genuine interest in helping clients achieve their financial goals (e.g., saving for retirement, college funds, weddings, or vacations). - Interact with customers both in-person and through Intuit’s state-of-the-art video communication tools. Address client inquiries while helping them overcome tax-related challenges. What You Get: As a TurboTax - Local Service Expert, you’ll receive access to exceptional company benefits and resources, including: 401(k) Savings Plan with company matching, paid sick time, Employee Stock Purchase Plan, E&O Insurance provided by Intuit, Employee Assistance Program discounts on Intuit products including a free copy of TurboTax, ongoing collaboration opportunities with TurboTax’s network of growth-minded professionals and marketing support Key Qualifications Who You Are: • EA (Enrolled Agent), CPA (Certified Public Accountant), or Practicing Attorney with strong tax preparation experience and extensive knowledge of tax laws preferred., • Have an active Preparer Tax Identification Number (PTIN) as required by law to file taxes., • Minimum of 3 years of paid experience filing 30 or more federal and state individual 1040 tax returns per tax season using professional tax preparation software.Familiarity with Circular 230, • Willing to upskill into additional service types or more complex work areas (e.g., bookkeeping, payroll, business tax advisory) with training provided by Intuit, • Must be comfortable working onsite at a TurboTax office location, primarily between the hours of 8:00 AM – 5:00 PM local time, Monday through Friday, for a minimum of 20 hours per week. Operating hours are subject to change and will likely scale up during periods of peak customer demand, such as tax season, • Must be willing and able to complete all required training and development as determined by the business including, but not limited to, compliance training, proficiency-based up-skilling, cross-training of other products or offerings, and professional development. Training requirements are subject to change based on business needs and the company reserves the right to introduce additional requirements at any time, • Must be willing to wear Intuit provided uniforms. Must be willing to use your name, picture for advertising on goggle., • Interest in building a local and online social presence as a TurboTax Expert, creating accessible tax-related content and resources for your community in accordance with Intuit’s policies, • Bilingual (English/Spanish) communication skills are a plus, • Experience in holistic tax advisory services beyond tax filing Attributes & Skills: • Passionate about empowering customers and helping them overcome the complexities of taxation., • Passionate about your local community and excited to work with Intuit to engage with and build Intuit’s presence in your local community (e.g., speaking at events, building a local and online social presence, creating content such as tax tips and educational videos)., • Entrepreneurial and self-driven with a business ownership mindset to grow your customer portfolio., • Exceptional customer service skills, high empathy, and a friendly, professional demeanor., • Excited to be showcased as a TurboTax - Local Service Expert in local and national marketing efforts., • Strong verbal and written communication skills., • Ability to work in a fast-paced environment independently while managing multiple priorities., • Proficient with technology, including tax preparation software and CRM/sales tools. Additional Requirements: • Must reside within the United States., • Must possess or be able to obtain any related State licenses, certificates, permits, or bonds. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is California (Bay Area): $27.00 - $41.00 Southern California: $27.00 - $41.00 Colorado: $26.00 - $39.00 Hawaii: $27.00 - $41.00 Illinois: $26.00 - $39.00 Maine: $23.50 - $35.00 Maryland: $26.00 - $39.00 Massachusetts: $29.50 - $34.47 Minnesota: $23.50 - $35.00 New Jersey: $27.00 - $41.00 New York: $27.00 - $41.00 Ohio: $23.50 - $35.00 Vermont: $26.00 - $39.00 Virginia: $26.00 - $39.00 Washington: $27.00 - $41.00 Washington, DC: $26.00 - $39.00 This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at _). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n Team Description: \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n What You’ll Do: \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n \n The Ideal Candidate: \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n \n Basic Qualifications: \n \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Vision model (VLM) customization experience)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n \n Team Description: \n \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n \n What You’ll Do: \n \n \n \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n \n \n The Ideal Candidate: \n \n \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n \n Basic Qualifications: \n \n \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n \n \n Preferred Qualifications: \n \n \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Staff AI Engineer (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale\n, • Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide\n, • Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture\n, • Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership\n\n \n Capital One is open to hiring a Remote Employee for this opportunity. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies\n, • At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy\n, • 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership\n, • Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance\n, • Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams\n, • Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 3 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics \n • \n Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments \n • \n Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies \n • \n Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets \n • \n Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies \n • \n At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) \n • \n Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows \n • \n Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $161,800 - $184,600 for AI Engineer 3\n \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (FM Hosting, LLM Inference)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services - Agentic Systems)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services - Agentic AI)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Manager, AI Engineer (IFX)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds.\n\n \n Capital One is open to hiring a Remote Employee for this opportunity. \n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer\n \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n ion. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n Capital One is open to hiring a Remote Employee for this opportunity \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale\n, • Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide\n, • Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture\n, • Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One’s AI technical leadership\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies\n, • At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy\n, • 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership\n, • Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance\n, • Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams\n, • Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations: Benchmarking, Evaluation, and Explainability)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description *Salary grade indicates what an employee can make throughout their time in this role. Please Note: This posting is not an active listing of open positions. It is intended to collect applications from individuals interested in future employment opportunities. If this position becomes available in the location you selected and your qualifications align with our needs, a member of our team may contact you to discuss the opportunity and next steps in the hiring process. Department/Location: Service/ NSO Offices “Nationwide” Job Title: National Service Officer Apprentice Reports To: NSO Supervisor Salary Grade: Grade 10 ($20.18 - $31.39/hour) Type of position: ý Full-time o Part-time Hours: 40 hr/week o Exempt ý Nonexempt Job Summary: The following statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This position encompasses the initial training period to achieve the designation of National Service Officer (NSO). The NSO Apprentice will study and train (via DAV’s on-the-job training program) to act as a representative for individual veterans (and their families) pursuing disability claims and other benefits from the United States Department of Veterans Affairs and, on occasion, other government entities. Essential Functions: • Acquire and maintain knowledge of all laws and regulations pertaining to veterans benefits through regular review of the Code of Federal Regulations and other publications and, where appropriate, decisions of the United States Court of Appeals for Veterans Claims., • Learn how to conduct detailed interviews of veterans to elicit information so that all potential benefits can be identified., • Review service records and other pertinent data, including medical records, to identify and/or assess validity of claims and potential claims., • Learn to determine whether additional evidence may be needed to support a particular claim; provide advice to veteran concerning same., • Learn to determine the risks and benefits of filing a particular claim., • Learn to assess whether the evidentiary support available for a given claim meets the requirements of 38 CFR § 14.633, which incorporates the rule on “frivolous claims” as adopted by the American Bar Association in Model Rule 3.1., • Practice preparing all submissions required to initiate and advance the claim, including, without limitation, briefs and similar documents analyzing the application of appropriate regulations to the facts of a given case., • Practice monitoring the progress of a claim from submission to resolution, dealing with VA adjudicators as required to advance the claim and keeping the claimant advised of significant developments., • Learn to advise the claimant, where appropriate, of administrative and judicial appeal options for claims denied in whole or part and, when requested, provide the claimant with specific advice concerning likely bases of appeal (if any)., • Practice representing claimants before military and VA hearing panels and boards, presenting evidence and legal argument and, as necessary, examining and cross-examining witnesses., • Learn to develop specific goals and plans to prioritize, organize, and accomplish clientele workload., • Communicate professionally and diplomatically with people inside/outside the organization., • Learn to recruit new DAV members to further support and enhance DAV’s mission of service., • Perform other administrative and outreach activities as directed by the office Supervisor. Essential Skills and Experience: • High school diploma (or equivalent)., • Must be found eligible and entitled to receive services through VA’s Vocational Rehabilitation and Employment Service under the established National Memorandum of Agreement containing DAV’s On-The-Job Training Program for National Service Officers except in situations where hiring a non-eligible candidate serves an important DAV business purpose., • Must be a member in good standing of the DAV., • Excellent communication skills., • General knowledge of legal and/or medical terminology preferred., • General understanding of business/administrative procedures and systems such as managing clientele files and records, cash ledgers, and quality customer service is helpful., • A valid motor vehicle driver’s license (other than motorcycle) is preferred., • Functional user of standard business computer, Microsoft Office software suite, and various computerized record systems/databases to retrieve automated veterans’ records. Degree of Supervision: • Works under the direct and ongoing supervision of Supervisory National Service Officer and/or other personnel assigned to conduct training; Apprentice exercises no supervisory responsibilities. Physical Demands and Work Environment: The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Physical Demands: Job requires sitting up to eight hours a day and standing up to two to four hours a day. Body movement primarily in hand and arm functions associated with normal office activities. Hand and eye coordination, and hand dexterity is required for handwriting and keyboarding over prolonged periods of time. Requires occasional lifting and/or carrying of no more than 25 pounds, and bending, squatting, pushing and pulling., • Work Environment: The noise level in the work environment is usually minimal., • Position may require minimal travel for training (advance authorization from National Service Director required)., • NSOs must be willing to relocate (nationwide) based on the needs of the DAV and provide written affirmation likewise.

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (GenAI Platform Services, Agentic Platform)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Coda Search is partnering with a globally recognized Asset Management group that is seeking to hire a Staff Accountant in New York, NY. This is a dynamic firm that has over $50BN+ AUM that focuses on the emerging markets and global equities. This role would sit in the corporate accounting team reporting into the Assistant Controller where they would be responsible for assisting with the month-end close, preparing the financial statements, managing the GL, and assisting with the annual audit. The role would also be assisting with any cash management activities and acting as the right hand to the Assistant Controller. Responsibilities: • Assist with the month-end close preparing balance sheet reconciliations, accruals and adjusting entries, • Manage the GL and reconcile accounts, • Perform full cycle accounts payable processing/coding 50+ invoices on a weekly basis, • Manage all cash receipts and cash deposits, • Prepare schedules and work papers for balance sheet accounts, • Oversee a portfolio of vendors and ensure the information is accurate, • Assist with the annual audit and prepare any supporting documentation Qualifications: • Bachelors in Accounting/Finance, • 2+ years of accounting experience, • Prior experience in Asset Management or Financial Services would be a plus, • Excellent communication and presentation skills

Financial Professional Are you a leader who has the following traits? • Competitive, • Entrepreneurial, • Coachable, • Communicative, • Self-disciplined, • Authentic If the answer is yes, consider becoming an insurance agent* to drive positive impact in the lives of families every day. At New York Life, you’re in control of your career journey. Backed by a Fortune 100 company that is a leader in the financial services industry, New York Life will invest in you from the start, training you in valuable skills such as marketing, customer relationship management (CRM) and communication, and providing you with a development team and sales support to guide your success. What we’re looking for... We’re looking for people who want to make a lasting impact on the financial well-being of individuals, families, and small businesses. This is not just a sales job—it’s a career with purpose and opportunity. You’ll provide peace of mind to your clients while helping them navigate challenges that many of them find complex and confusing, such as preparing for retirement and saving for college. As an insurance agent, you will have the opportunity to see the positive impact of your work for years to come. You will grow personally and professionally along with your clients. What we offer... Training and development We’ll equip and train you with a multifaceted approach that includes an industry-leading learning platform, personalized coaching from dedicated training professionals, and the ability to obtain industry professional designations. We are so committed to training that we’ll subsidize it in your first two full-time contract years, providing you with additional funds, if you qualify, to help keep you on your feet while you complete our training program and grow your business. You’ll also be eligible to get rewarded and acknowledged with sales incentives and professional-development trips for our top-performing insurance agents. Digital tools Beyond this training and support, New York Life will equip you with the tools you need to succeed day-to-day, including experts on hand to answer your questions and a suite of digital sales, prospecting, and marketing tools that will help you attract and retain your clients with web, social, and email content. Products and solutions Together with its subsidiaries, New York Life provides a range of products, including life insurance, annuities, long-term care insurance, disability income insurance, and investment products such as mutual funds1 through our broker-dealer arm, NYLIFE Securities LLC (member of FINRA and SIPC), a Licensed Insurance Agency, ensuring that the solutions you develop with your clients can help them and their families achieve their financial goals. You’ll also be able to specialize and gain expertise in different areas, such as by becoming a financial advisor with Eagle Strategies LLC, our investment advisory division, to offer wealth management and advisory services,2 estate planning strategies, and business solutions. Human guidance When you join New York Life, you’re joining a strong team with peer-to-peer support options like study groups, mentorship, and other opportunities to engage with your fellow insurance agents. How we will compensate you. You have the power to determine your own income with our commission-based compensation.3 In 2023, the average income of our agents under the N8 and N9 Agent’s Contract who met annual minimum sales production requirements was $117,359.4 Individual agent performance will determine your income. Benefits for full-time agents include medical, dental, vision, life, and disability insurance, as well as a 401(k) and pension.5 For more information about commission-based income and benefits for financial professionals please follow this link _ income-and-benefits. About New York Life... New York Life is a Fortune 100 company with a long history of doing good. We have been in business for over 175 years, helping generations of Americans protect their families and attain their financial goals. As a mutual company, we are accountable only to our policyholders, not to Wall Street or outside investors. We are focused on the long-term success of our clients. Awards & Accolades... We’re proud of our financial strength.6 • A++ Superior (A.M. Best), • AAA Exceptionally Strong (Fitch), • Aaa Exceptional (Moody’s), • AA+ Very Strong (Standard & Poor’s) We’re proud of the help we’ve provided and continue to provide our clients.7 • 5.3 million LIVES PROTECTED. Includes all owners of individual life insurance and annuity policies, • $937 million LIFETIME ANNUITY INCOME PAID. Includes all payouts on individual income annuity products., • $5 billion IN LIVING BENEFITS AWARDED. Includes life and annuity cash value accumulation and qualifying policy dividends paid. Dividends are not guaranteed., • Over $1.2 trillion LIFE INSURANCE PROTECTION IN FORCE. Includes term, whole, and universal life.8, • The terms ”agent” and ”financial professional” are used interchangeably throughout this brochure and refer to someone who is in a sales role under an agent contract. 1. Offered by properly licensed registered representatives through NYLIFE Securities (member FINRA/SIPC), a Licensed Insurance Agency and a New York Life company., 2. Wealth management and advisory services offered by Financial Advisors of Eagle Strategies LLC, a Registered Investment Adviser and a New York Life company. Qualification requirements include but are not limited to applicable FINRA general securities, agent state law, investment advisory licenses, compliance history, production standards, and required training. Requirements are subject to change. 1. If you qualify for an Introductory (PTAS) Contract, you will preview an agent career with New York Life as an independent contractor while continuing to work at your current job, with limited exceptions. PTAS Agents are not eligible for benefits. During this preview period of up to six months, any sales you make will continue to accrue until you either make enough sales to become a full-time agent under a Training Allowance Subsidy (TAS) Contract or the passage of six months, which ever is earlier. If you do not become a full-time agent, all commissions on any sales you made will be paid to you at the end of six months. If you become a fulltime agent under a TAS Contract, you will be credited with the commissions you accrued under the Introductory Contract., 2. Based on 2023 company data for 8,156 agents operating under our N9 and N8 Agent’s Contracts in all states, without persistency bonus, who were active as of December 31, 2023. N9 is the current contract for new financial professionals. N8 contracts were issued to new financial professionals priorto April 2004. Contracts determine your compensation and benefits. Sales production requirements are determined annually by the company. Historical agent incomes are provided for informational purposes only. Agent income is not guaranteed. Income is dependent upon the sales of each agent. Agent compensation is commission-based and determined through the ledger process. Overall compensation includes positive income credits for commissions based on actual sales and certain allowances or incentives, if eligible, based upon persistency and production, as well as debits associated with commission reversals, authorized expenses, and other items. Each credit and debit posted to the Agent’s Ledger is part of determining the agent’s compensation and no individual credit posted to the ledger is earned until the ledger reconciliation process is complete. Agents receive payments equal to the positive balance on the Agent’s Ledger after the credits and debits are applied., 3. This is necessarily brief and provides only general descriptions of the benefits available to eligible agents under the applicable plans. Specific terms, such as eligibility and benefits, are determined only by the terms and conditions contained in the relevant plan documents. In the event of any conflict between the information herein and the provisions of the plan documents, the plan documents will govern. The company reserves the right to amend or terminate the benefit plans described herein at any time for any reason., 4. New York Life Insurance Company continues to receive the highest financial strength ratings currently awarded to any life insurer in the U.S. from all four major rating agencies. Source: Individual Third-Party Ratings Reports: A.M. Best A++, Fitch Ratings AAA, Moody’s Aaa, and Standard & Poor’s AA+ (as of 11/17/2023). The ratings do not apply to investment products as they are subject to market risk and will fluctuate in value., 5. All figures reflect the consolidated results of New York Life Insurance Company and its domestic insurance subsidiaries, including New York Life Insurance and Annuity Corporation, for the 12 months ending December 31, 2023., 6. This reflects the consolidated results of New York Life Insurance Company (NYLIC) and its domestic insurance subsidiaries, including New York Life Insurance and Annuity Corporation (NYLIAC), for the 12months ending December 31, 2023. Individual life insurance in force is the total face amount of individual life insurance contracts (term, whole, and universal life) outstanding for NYLIC and its domestic insurance subsidiaries at a given time. The company’s individual life insurance in force totaled $1,200.95 billion at December 31, 2023 (including $182.34 billion for NYLIAC). Intercompany transactions have been eliminated in consolidation. New York Life is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity AR10511A_052024 SMRU5021157 (Exp.05.30.2025)

About Saunter The way we gather is broken. Modern culture trades presence for digital sedation, and nightlife makes good health the price of admission. We’re building the successor to the bar—a new kind of third space, designed from first principles for how people want to gather today. Our first location opens in Williamsburg in early 2027, and the model is built to scale nationally. We’re artists and serial entrepreneurs—builders of creative and nightlife communities, consumer brands, and technology companies. We’ve spent our careers pushing culture forward, and this is our biggest swing yet. We’re backed by founders of some of the most influential technology companies of the past two decades, alongside one of the most followed voices in health. From first dawn to last call, a quick reset or a whole afternoon, our mission is to make room for warmer ways to gather. The Role You’ll sell the room. This is the founding commercial seat inside our first location, and you’ll hold it from before the doors open. Private events and brand sponsorships are yours—two revenue lines you’ll build from zero, own from first prospect through final payment and renewal, and grow. Saunter is a highly designed, all-day social venue combining high-touch hospitality, food and beverage, and live programming, with a space built for everything from an intimate corporate offsite to a full buyout. The room already has a history as a sought-after event venue. Your job is to turn that potential into a meaningful, repeatable revenue line. Weekend nights will create their own energy. The harder—and more valuable—job is filling weekday daytime with corporate gatherings, offsites, and celebrations, and structuring brand partnerships that add to the guest experience rather than interrupt it. You’ll start selling before the venue exists, from renders and hard-hat walkthroughs, so we open with a book of business already signed. You’ll report to our operating partner and work directly with the CEO, GM, and founding team on how partnerships show up in the room. You’ll own the sale, the commercial relationship, and the economics; the venue team will own four-wall execution. Because everything here is being built for the first time, the pricing, playbook, and standards for what a Saunter partnership means will carry your fingerprints for years as we expand. This is a full-time, in-building role. Pre-opening will be heavily outbound. Once we’re open, you’ll maintain the senior client relationship around major events, including some evenings and weekends, while the venue team leads execution. Over time, your job is to build a repeatable commercial engine—not a business that depends on one person’s relationships and heroics. What You’ll Do Pre-sell the venue. Build a qualified pipeline and close signed contracts with deposits before opening day, selling the vision from renders, walkthroughs, and the strength of your own credibility. Build the book. Develop and activate relationships across corporate event planners, experiential agencies, executive assistants, people and culture leaders, and brand partnership teams. Personally own the full commercial cycle, from prospecting through collection and renewal. Own the number. Deliver at least $250,000 in private-event revenue and $100,000 in cash sponsorship revenue during the first 12 operating months. Maintain a disciplined pipeline, forecast, and collections process so leadership always knows where the number stands. Fill the quiet hours. Direct your energy where capacity is most perishable: weekday daytime and early evenings. Every empty Tuesday afternoon is revenue that never comes back. Build brand partnerships. Structure integrations, activations, supported series, and product placements that guests are glad exist. We don’t sell logo wallpaper, and every deal passes brand review. Sell the tentpoles. Pursue marquee buyouts and calendar moments capable of materially outperforming the base plan. Protect the room. Price every deal against contribution margin, operating cost, payment risk, and what the space would earn on its own. Create clean handoffs and stay accountable for the client relationship without becoming the event producer. Create the playbook. Codify the pricing tiers, collateral, contracts, pipeline process, partnership standards, and account-development practices that allow the first venue to excel and future Saunter locations to sell from day one. Who You Are You are a closer with a real book of New York buyers—corporate event planners, brand and agency partnership leads, and other decision-makers—you can begin activating immediately. You know the first calls you would make. You have sold physical space or another capacity-constrained hospitality or event product. You understand buyout math, minimums, displacement, event contracts, and clean operational handoffs. Your revenue was yours. You can walk us through what you sold, from what to what, what the business kept, and exactly which part was yours. Your references will say the same. You have sold something before it existed, or into hours nobody wanted—and you liked it. You run the full cycle yourself. You don’t wait for inbound, and you don’t hand the hard parts to someone else. You are rigorous with numbers. You understand how pricing, margin, capacity, payment terms, cancellation exposure, and collections determine whether a deal is genuinely valuable. You work inside a strong brand without flattening it. You understand that the fastest way to devalue a great room is to sell it cheap—or to the wrong partner. You lead with warmth and directness, and you’re genuinely interested in the people, brands, and ideas that make a partnership feel alive rather than transactional. Experience selling for independent venues, lifestyle hotels, private clubs, cultural spaces, experiential agencies, or event-led hospitality in New York is a plus. Pre-opening sales experience is strongly preferred. What We Offer • Base salary of $95,000–$120,000, depending on experience, • This is a commission-eligible role. Your incentive plan is tied to the sponsorship and private-event revenue you close and collect, with accelerators above target and no cap on upside, • At target, total annual earnings of approximately $150,000, • Comprehensive health benefits and paid time off, • A founding commercial seat with real influence over how partnerships and private events shape Saunter’s first venue, • The opportunity to help build a new national hospitality category from its first location How to Apply Tell us who you are and why Saunter. Send a short note and your resume to careers@saunter.space. We read every one. Saunter is an equal opportunity employer. We welcome applicants of every background and meet people where they are.

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch. By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at _. About this position: This is a high-trust, high-leverage role for someone who is genuinely obsessed with the numbers. You'll be the right-hand operator and thinking partner to the GM of Later Social and Head of Creator Products, reporting directly to the SVP and GM. You will own the growth metrics, the operating cadence, and the decision support that keep two fast-moving businesses sharp and accountable: the Later Social PLG SaaS division and the Creator product portfolio. You won't just report on the funnel, you'll live in it. You'll know why self-serve conversion moved, where Creator product activation is leaking, and what we should do about it before anyone asks. You'll run the operating rhythm, keep the team honest on timelines and OKRs, turn data into crisp leadership narratives, and act as a force multiplier so the GM can operate at the altitude only they can. Think operator-analyst with a growth brain and a high drive to move the needle. Please note we will only be considering applications from candidates located within North America. This is a remote-eligible position, with the option to be hybrid from our Boston, Vancouver BC, or Vancouver WA hubs. What you'll be doing: Growth & Funnel Analytics • Own the source of truth for growth performance across Later Social's PLG funnel (acquisition, activation, conversion, retention, and expansion) and Creator application, activation, and engagement analytics., • Apply a CRO lens: surface what's working and what isn't, size the opportunity, and recommend the next test or fix proactively, with a clear point of view., • Build and maintain the dashboards, models, and definitions the whole group trusts for product metrics; partner with Data & Analytics so one set of numbers drives every conversation. Operating Cadence & OKRs • Partner with TPMs on team OKRs: baselines, targets, weekly pacing, and clear escalation when the business is off track., • Lead the recurring funnel and metrics reviews for product growth and Creator sales growth: set the agenda, drive the discussion to decisions, and own the follow-through., • Keep the group's timelines, deliverables, and operational commitments on schedule, and keep the GM ahead of what's due and what's at risk. Strategy & Decision Support • Support the GM on product and business metrics tracking, translating data into action plans with a clear recommendation, not just a status update., • Pressure-test plans, model scenarios, and bring an independent, data-backed perspective the GM can rely on., • Prepare the documents and presentations the group needs for leadership, board, and cross-functional audiences, translating data into a clear story., • Own smaller projects end to end, from framing the question to landing the outcome. Cross-Functional Leadership • Partner across Product, Marketing, Data, GTM, and Finance; with Marketing specifically, keep growth reporting transparent and forward-leaning., • Constructively challenge the team on priorities, pace, and where their time is best spent, raising the bar without owning their roadmaps., • Drive alignment across Later Social and Creator stakeholders by creating shared metrics, clear operating rhythms, and crisp escalation paths. What success looks like: • By 30 days, you have a deep understanding of our PLG funnel and products, are fully set up in our core tools (Claude, Amplitude, SQL, Salesforce, HubSpot, Looker, Mode, and spreadsheets), and are running basic weekly reporting for the GM and core partners., • By 90 days, you own the operating cadence end to end: OKRs are baselined and tracked, weekly funnel and performance reviews are running smoothly, and you are proactively surfacing insights and recommended tests across acquisition, activation, conversion, and retention for Later Social., • By 6 months, you are the undisputed source of truth for growth and product usage metrics, you have led multiple high-impact CRO and funnel optimization initiatives (such as on later.com and in-product activation flows), and you are driving cross-functional alignment on the roadmap through sharp analysis and storytelling., • When fully ramped, the GM can step back from day-to-day metrics with confidence because you have it covered: product and revenue metrics are tracked and visible every week, nothing critical slips quietly. Funnel reviews produce decisions, not just status. Leadership materials are sharp, on time, and tell a clear story. What you bring: We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply! • 5-7+ years in growth, revenue operations, business or strategy operations, or growth analytics, ideally in B2B or B2C SaaS with a PLG motion., • A track record of moving the numbers: you have materially improved key funnel metrics (sign-up to activation, free-to-paid conversion, trial-to-paid, retention and expansion, ARPU or LTV) and can point to specific experiments or initiatives you led and the impact they drove., • Deeply analytical and numbers-obsessed: fluent with funnels, cohorts, conversion math, and experimentation. You are strong with analytics and BI tools (Amplitude or Mixpanel, Looker or Mode, spreadsheets and models) and comfortable querying data directly with SQL to get your own answers., • A proven operator: you have run operating cadences, OKRs, and cross-functional projects, and you make things happen across teams without formal authority. You have owned or heavily influenced quarterly target-setting and can keep teams honest on pacing and tradeoffs., • Excellent at synthesis and storytelling: you turn data into decisions and into documents executives trust, tailoring the narrative for product, GTM, and leadership audiences., • High ownership, sound judgment, and the maturity to be a confidential, credible extension of a senior leader., • Fluent in using AI tools to work faster and sharper (analysis, synthesis, drafting), while staying fully accountable for accuracy and judgment., • Experience in social, creator, or e-commerce and affiliate-driven businesses is a strong plus. How you work: • Driven by Impact: You deliver results that matter, prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear., • Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights., • Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast, challenging the status quo with a mindset of improvement., • Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive, removing roadblocks, sharing insights, and keeping morale high., • Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth., • Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity. Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range: $135,000 USD - $185,000 USD Where we work: We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. Diversity, inclusion, and accessibility: At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Us Perform Properties is a Blackstone Real Estate portfolio company focused on high‑performing retail and office properties with people‑appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, we oversee approximately 30 million square feet of properties across the U.S. Our culture is built on our OneTeam foundation - a shared commitment to collaboration, innovation, and knowledge sharing across roles, teams, and time zones. Guided by this foundation, our OneTeam Core Values define how we show up every day: · Act with Intention · Make It Happen · Raise the Bar · Stay Curious · Win as One Join a team where performance and partnership go hand in hand. Role Summary The Director– Asset Management (Director, AM) will report directly to the SVP of Asset Management, with a dotted line partnership to other leaders for shared accountability in the business plan and investment performance of assigned assets. The Director, AM will be primarily responsible for bringing analytical rigor and expertise to key value-maximization decisions around major leases, capital investments and timing of dispositions as well as leadership around resolving operational challenges at the asset (environmental, A/R, and entitlements). The position entails supervision, mentoring, coaching, and development of direct and indirect reports. This is a high visibility role with interaction with senior leadership at Perform. Travel to assets is required. This role is in the office, 5 days a week Monday-Friday. This is a dynamic opportunity for someone who thrives in a fast-paced, deal-oriented environment and is eager to work closely across functions to drive asset and portfolio value. Essential Job Functions Investment Cash Flow Modeling – Collaborate with market leadership, leasing, operations, and other teams to build accurate cash flow models for each asset and investment. Provide thought leadership around assumptions and key drivers of return on investment. Identify, analyze, and report on key variances to underwriting and budget to provide recommendations to executive leadership Strategic Financial Analysis – Lead strategic analyses, which includes but is not limited to hold/sell decisions, evaluation of major leases, and capital decisions. Liquidity / Cash Management – Own cash models and portfolio liquidity needs; anticipate cash management issues and provide timely reporting to market leadership and executive teams. Asset-Level Projects – Collaborate and coordinate with market leadership to identify and implement priority value-add projects in alignment with underwriting and asset business plans. Dispositions and Due Diligence– Provide asset and investment level leadership in coordination with Transactions team to facilitate due diligence and closing process for dispositions and debt financings – including coordination of information and materials with various parties (buyers, sellers, lenders, brokers, and attorneys), as well as internal partners (Finance, Operations, Leasing, Construction, and Legal). Review and sign off on due diligence materials and closing statements. Organization and Communication – Drive collaboration, organization and communication of key work products and information to effectively articulate asset strategy and execution updates to Perform leadership and Blackstone. Cross-functional Collaboration – Coordinate and collaborate with counterparts in Leasing, Construction / Development, Property Management, Accounting, and FP&A to drive alignment on asset strategy and execution. This collaboration can be seen via underwriting, budgeting, performing ad-hoc analysis, prepping for disposition, or day-to-day operational asset management. Manage and Mentor Team – Orchestrate work and foster development of team such that work is produced effectively and junior colleagues learn and grow. Provide exceptional mentoring and coaching to people beyond direct reports. Be the ultimate player coach! Competencies • Results Orientation with a sense of urgency and continuous improvement, • Exceptional leadership, management, and communication skills, • A curious, driven professional with a passion for problem solving, • Collaborative and consensus builder with the ability to influence others without formal authority, • Strategic Orientation with creative and broad thinking, • Team leadership - works inclusively within a diverse team Qualifications • Degree in finance, economics, mathematics, engineering, or equivalent quantitative-based field, • A minimum of 6+ years of experience at a reputable real estate investment firm with significant experience in open-air retail with at least 2 years managing people, • Excellent written and verbal communication skills, • Translates complex technical concepts to understandable business terms, • Ability to work independently, handle multiple projects and meet deadlines, • Ability to do advanced Excel modeling and deep knowledge of Argus Enterprise, • Strong understanding of real estate fundamentals, valuation, transactions, asset management and leasing, • Ability to research, analyze and draw conclusions and communicate effectively, • Demonstrated success in collaboration, creative thinking, and ability to learn new concepts quickly Benefits & Compensation Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO). Base Salary Range: $175,000-$200,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience. The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. Closing EEO Statement Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email recruiting@performproperties.com #LI-Onsite

Assistant Controller: • $2B AUM PE Firm -- Investing in Tech/Software, • $160,000 -170,000 + Bonus, • One of those special roles that don't come around too often. The CFO is handling all accounting and is looking for his Right Hand. They are growing rapidly, raising new Funds, and have started looking into building their Acct/Fin Dept. You will be a foundational Pillar for this Firm., • They utilize an Admin for both Fund and Mgmt Co. accounting. They are looking to bring the Mgmt Co. side in-house., • Overall this is an opportunity to come in, work on all things accounting at a growing PE Fund that specializes in the Tech sector. Growth path to Controller as well., • Ideal background is someone that has both Fund Accounting and Mgmt Co. Accounting out of a small to midsize Fund. However, if you have Fund Accounting and need to learn the Mgmt. side, that can work. They are open to candidates right out of Public (must audit Funds) and candidates out of Fund Admin (PE). Position Overview: A rapidly growing middle-market private equity firm specializing in B2B technology and tech-enabled services is seeking an Assistant Controller to serve as its inaugural internal accounting hire. Following a period of key strategic expansion, this position offers an experienced fund and management company finance professional the chance to work directly with the CFO and build out the firm's core accounting, reporting, and operational framework. Fund Accounting & Third-Party Administrator Oversight • Serve as the primary operational link between the CFO and the external fund administrator to direct accounting and reporting operations., • Review and sign off on capital calls, distribution calculations, waterfall allocations, and quarterly financial statements., • Analyze limited partnership agreements (LPAs) to ensure proper execution of fee structures, carry allocations, and accounting provisions., • Support investment-level accounting across various entity types, including special purpose vehicles (SPVs) and co-investment vehicles., • Validate allocation schedules and oversee the accuracy of investor capital accounts., • Facilitate year-end financial audits and quarterly valuation workflows in coordination with investment leads. Management Company Accounting & Operations • Assume end-to-end responsibility for day-to-day general ledger operations for the management company and associated GP entities., • Lead the operational transition of management company accounting from the third-party administrator to an in-house function., • Oversee financial reporting, cash management, bank reconciliations, expense processing, and monthly balance sheet accruals., • Design, implement, and refine accounting workflows, internal control frameworks, and financial infrastructure as the platform scales. Tax & Audit Support • Coordinate with external audit and tax advisors to manage compliance reporting and year-end audit workflows., • Assist with partnership tax returns, K-1 preparation, and underlying allocation schedules., • Prepare tax-related documentation and support schedules required for regulatory filings. Key Qualifications: Experience: 7+ years of progressive accounting experience, with a core background in private equity, venture capital, or alternative investment management. Technical Expertise: Demonstrated command of both fund and management company accounting practices. Administrator Oversight: Direct experience monitoring, reviewing, and evaluating work delivered by third-party fund administrators. Tax Exposure: Working knowledge of partnership taxation and K-1 processing, with a desire to deepen tax domain expertise. Mindset: Self-starter with an entrepreneurial drive, strong attention to detail, and comfort operating autonomously within a lean team environment. Position Highlights: Foundational Role: Serve as the inaugural accounting professional, taking direct ownership of the internal finance ecosystem. Executive Access: High-visibility position working side-by-side with the CFO and senior leadership. Comprehensive Scope: Dual exposure across both fund and corporate management company accounting. Trajectory: Clear path for career progression into a broader finance leadership role as the platform brings additional funds to market. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Equal Opportunity Notice Highspring LLC (d/b/a Vaco by Highspring) and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") are committed to the full inclusion of all qualified individuals and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by applicable law. The company is also committed to ensuring that persons who need them are provided with reasonable accommodations; if an accommodation is needed to participate in the job application or interview process, please contact HR@vaco.com . Vaco by Highspring also wants all applicants to know their rights that _. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. Additionally, you agree to be included in our talent pool for future hiring for similarly qualified positions. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. Lastly, you agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada only: to the extent the position for employment is not with Highspring or not otherwise noted as vacant above, candidate should be informed that this role is to replace a presently employed person at Vaco by Highspring's client. Privacy Notice Vaco by Highspring respects your privacy and are committed to providing transparent notice of our policies. • California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees _., • Virginia residents may access our state specific policies _., • Residents of all other states may access our policies _., • Canadian residents may access our policies in English and in French ., • Residents of countries governed by GDPR and UK GDPR may access our policies _. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (_). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: · the individual's skill sets, experience and training; · licensure and certification requirements; · office location and other geographic considerations; and · other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses and/or participation in medical, dental, and vision benefits as well as the company's retirement plan (or similar retirement benefits).

ABOUT THIS ROLE We are looking for a talented Assistant Store Manager to support in leading the Jones Road team in the day-to-day operations of its Greenwich Village location. An Assistant Manager is responsible for assisting the Store Manager staff in maximizing sales, providing an exceptional shopping experience for the customer and managing the store in accordance with the company's visual and operational standards. The Assistant Manager assumes responsibility for the operations of a store as “Manager-on-Duty” in the absence of the Store Manager. SALES LEADERSHIP: • Assumes Manager’s role in supervising staff in absence of Store Manager., • Strives for sales excellence and results., • Ensures selling standards are met., • Works with customers and models excellent customer service and Clienteling skills., • Maximizes sales through strong floor supervision. ASSOCIATE DEVELOPMENT: • Ensure associates are trained on product knowledge and education, selling skills and customer service and operations., • Provides information and feedback to team members., • Actively coaches team members on the sales floor to build selling skills and drive individual development., • Creates a positive and cooperative team culture in store. OPERATIONS EXCELLENCE: • Protects store payroll by managing wage costs, salaries, and allowable hours in partnership with Store Manager., • Controls company’s assets, i.e. key control, loss prevention measures, inventory paperwork and company standards of conduct per the employee handbook., • Strives for 100% accuracy and compliance in cash, inventory, store fixtures and property., • Communicates inventory needs to support the business goals. STORE STANDARDS: • Helps control all company assets (i.e., payroll hours, fixtures, cash, inventory and property) and completes all policies and procedures promptly and accurately., • Helps execute visual merchandising and promotional directives., • Works as a member of the team to ensure all store standard guidelines are met., • Understands, supports and complies with all company policies and procedures. MERCHANDISING/VISUAL: • Ensure execution of effective merchandising strategies and directives., • Ensure the selling floor is neat, clean, organized and reflects the correct visual image at all times., • Ensure presentation of all displays, fixtures and all visual areas are reflective of current visual direction., • Identify and communicate product concerns in a timely manner in partnership with the Store Manager. . PHYSICAL DEMANDS: • Ability to operate computer/cash register, • Standing, walking, bending, squatting, twisting and climbing ladders 6-12 feet, • Simple grasping, pushing, lifting and or carrying things with right/left-hand which weigh 3-15 pounds WORK ENVIRONMENT: • Ability to create a quality working environment that will encourage others to develop and excel, • Foster a work climate that inspires mutual trust, respect, professionalism and teamwork to achieve goals, • Adheres to company guidelines of dependability, including attendance and requirements., • Leads by example with grooming, inspiring your team to always reflect their makeup., • Attends Store Meetings. QUALIFICATION REQUIREMENTS: • Minimum of 2 years retail management position/ experience in beauty or fashion (or related field)., • Ability to work a flexible schedule including nights and weekends., • Strong verbal and communication skills., • Strong observation skills – identifying and assessing customer and employee behavior, reactions, floor awareness, etc., • Ability to retain and utilize data, i.e. names, product, information, policies and procedures., • Ability to create a quality working environment that will encourage others to develop and excel., • Foster a work climate that inspires mutual trust, respect, professionalism and teamwork to achieve goals. Jones Road Beauty is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Majority Remote - Senior Accountant – NYC! A growing, private equity-backed company at the intersection of consumer products and design is looking for a Senior Accountant. This is an excellent opportunity for an early-career accounting professional to take on significant responsibility within a growing organization and gain exposure to both core accounting and broader financial analysis, as you’ll work hand in hand with the CFO and VP Finance. This person will play an important role in strengthening the company's accounting infrastructure as the business continues to grow. The position will be hands-on and involve month-end close, reconciliations, journal entries, and financial reporting, while also providing exposure to process improvement, multi-entity accounting, and other strategic finance initiatives. The ideal candidate will have strong accounting fundamentals, excellent attention to detail, and the ability to operate independently in a fast-moving environment. This role is particularly well suited for someone coming from a strong public accounting or corporate accounting background who is looking to take on broader ownership within an operating company. The company is based in Midtown and only requires 1 day in office per week! Responsibilities: • Support the monthly close process, including journal entries, account reconciliations, accruals, and preparation of financial schedules, • Assist with accounting activities across multiple entities and support the consolidation and reporting process, • Maintain accurate general ledger accounts and investigate and resolve discrepancies in a timely manner, • Support accounts payable and accounts receivable activities, including invoice review, payment processing, cash application, and account reconciliation, • Prepare bank and balance sheet reconciliations and ensure transactions are accurately recorded and supported, • Assist with the preparation of internal financial reporting and schedules for management, • Support external audit processes by preparing schedules, documentation, and responding to requests from external auditors, • Help improve accounting processes, controls, systems, and reporting as the organization continues to scale, • Assist with inventory-related accounting and other operational accounting activities as needed, • Support broader finance initiatives, including KPI reporting, pricing analysis, variance analysis, and other ad hoc projects Requirements: • 2–5 years of progressive accounting experience, ideally within a public accounting or corporate accounting environment, • Bachelor's degree in Accounting, Finance, or a related field, • Strong understanding of GAAP, accrual accounting, journal entries, reconciliations, and month-end close processes, • Experience working with multiple entities, consolidations, accounting systems, or process transitions is highly preferred, • NetSuite experience is strongly preferred, • Strong Excel skills and the ability to work with large amounts of financial data, • Experience in inventory, distribution, manufacturing, consumer products, or a similar operating environment is a plus, • Highly organized, analytical, and detail-oriented with the ability to manage multiple priorities, • Self-starter who is comfortable working in an evolving environment and taking ownership of responsibilities, • Interested in developing broader exposure to FP&A, business analysis, and operational finance Salary: $85K – $95K + bonus The above salary range represents the company's good faith and reasonable estimate of the possible base compensation range at the time of posting and is not reflective of the total compensation package, which may also include benefits, equity and other non-cash incentives. Please send your resume for immediate consideration to: jdamico@adviceny.com If this particular role isn't the ideal fit, please feel free to forward your resume to the email above to explore other available opportunities. Please also feel free to share this posting with anyone in your network who might be open to learning more. Referrals are always appreciated! Advice Personnel Celebrating over 40 years as one of the premier search/staffing firms serving the New York metropolitan area

Our Firm Companies and investment firms built today are scaling faster than at any time in history, but the founders and investors building the defining businesses of our era face a paradox: the more value they create, the faster the demands and complexity of their own financial lives compound. Santa Barbara Management was founded by a small group of accomplished business builders and investors who lived this problem first-hand and decided to solve it. To make this vision a reality, we have reimagined the family office experience from first principles, relentlessly questioning industry norms. At Santa Barbara Management, we engineer wealth for exceptional builders and their families. Our innovative model has been painstakingly designed to deliver a fully-integrated, client-aligned solution that combines investments, tax, trusts and estates, financial operations, and strategic finance under one roof, within one team. We have built our firm to be the trusted advisory platform we wish we had as we navigated some of the most complex and consequential financial decisions of our lives. Today, we serve some of the most accomplished founders and investors of our time, and we're just getting started. The Role Santa Barbara Management is growing quickly and the families we serve are among the most sophisticated in the country. We believe the best family office work looks nothing like the industry standard, and we actively seek out innovative approaches to client service, ones that give our clients and our team deeper visibility into the decisions that shape their financial lives and push the boundaries of what a family office can deliver. At SBM, the Family Office Analyst role is a foundational member of a close-knit client delivery pod, supporting the Family Office Associate and Family CFO in serving a select group of ultra-high-net-worth families across their full financial landscape. This role is based in our New York office and is designed as the entry point into our family office career track. From day 1, you will work directly alongside experienced practitioners on client profiles more complex than most analysts see years into their career. For high performers, this is the first step on an advisory track: Analysts who perform at a high level build toward Family Office Associate, then roles like Family CFO or Trust and Estates Advisor, as their expertise grows. What You'll Do Deliver on the Details • Help build and maintain the full financial picture for each client, assisting with balance sheet, income statement, cash flow, and tax, trust and estate reporting, • Prepare the data behind quarterly client reviews, checking accuracy and consistency before it ever reaches the client, • Own money movement and bill pay for ultra-high-net-worth families, where precision and timing carry real stakes Support the Client Experience • Serve as a critical checkpoint across client accounts, catching discrepancies before they reach the client, • Tackle bespoke projects for clients, including financial analysis, personal administration, and research, • Handle some of the most sensitive financial information in the country with total discretion and sound judgment Grow, Build and Push What’s Possible • Build a working knowledge of taxes, portfolio construction, asset classes, and investment products directly from the Family Office Associate and Family CFO you support, • Cultivate a foundational understanding of trust and estate planning principles, including gifting, promissory notes, and trust and will development, • Bring curiosity to how technology and AI are reshaping wealth management, and contribute ideas as you learn the workflow Who You Are You are early in your career and looking for a role that will actually stretch you. Whether your background is in finance, accounting, or a related field, you have built a strong foundation and are ready to put it to work in a fast-paced, high-stakes environment. You are energized by the idea of learning from people who have done this at the highest level, and you want exposure to complex client work most analysts do not see until years into their career. You bring a strong work ethic, a proactive mindset, and a bias toward action. You lean into ambiguity, bring a no-task-is-too-small mentality to everything you do, and are forward thinking about how work gets done. You are detail-oriented and take real pride in work that is accurate and delivered on time. You want to be part of the conversations that shape how this firm operates and you do not accept the status quo just because it is familiar. What We Look For Finance Foundation: 2+ years of experience in finance, accounting, or a related field, ideally with a bachelor's degree and strong academic performance. Exposure to wealth management, family office services, or client-facing work is a plus but not required. Analytical Rigor and Inventive Mindset: You are fluent in Excel, PowerPoint, and Word, and comfortable learning new systems quickly. You manage multiple tasks without losing accuracy, even when priorities shift. You're AI-pilled and have an appetite for finding better ways to do things with the incredible tools at your disposal. Commitment to Client Partnership: You communicate clearly and professionally, follow through on every commitment, and bring energy and care to every task, no matter how small. You have a strong desire to both build and advise, not just one or the other. What We Offer Opportunity to Build Something Different: Santa Barbara Management is reimagining a significant, under-innovated category of financial services. The people who join us now will help shape how we serve our clients, how we build our platform, what this firm becomes, and will have an opportunity to help redefine how this industry works. Exceptional Colleagues: Join an ambitious and exceptionally talented team led by people who have built category-leading businesses before. The bar is high, and that's the point. We move quickly, are highly collaborative, and care deeply about creating an environment where we make each other better every day. Meaningful Scope, Real Impact: SBM is growing quickly. There are no small roles, there's no entrenched hierarchy, and the opportunities for professional growth are significant. A Culture That Takes Care of Its People: Competitive compensation, comprehensive medical, dental, and vision coverage, a 401(k), paid parental leave for all parents, unlimited paid vacation, and an annual learning and development stipend. We apply the same standard of excellence to how we treat our team as we do to how we serve our clients. The Conditions to Do Your Best Work: This role is based in our New York office. We work together in person because the best ideas and the strongest cultures are built in the same room. We also trust our people to manage their time and energy like the professionals they are. Compensation at SBM reflects the unique background and experience each person brings to the role. The expected base salary range for this position is $75,000-95,000. Beyond base salary, you will be eligible for a discretionary annual bonus which, for high performers, can represent a substantial part of total compensation. Santa Barbara Management is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or any other legally protected status. All qualified applicants will receive consideration for employment without regard to any of the above characteristics. Santa Barbara Management is enrolled in E-Verify to confirm the identity and employment eligibility of all new employees. We are not accepting candidate submissions from external recruiting firms or agencies for this role at this time.

Financial Services Professional Are you a leader who has the following traits? • Competitive, • Entrepreneurial, • Coachable, • Communicative, • Self-disciplined, • Authentic If the answer is yes, consider becoming an insurance agent* to drive positive impact in the lives of families every day. At New York Life, you’re in control of your career journey. Backed by a Fortune 100 company that is a leader in the financial services industry, New York Life will invest in you from the start, training you in valuable skills such as marketing, customer relationship management (CRM) and communication, and providing you with a development team and sales support to guide your success. What we’re looking for... We’re looking for people who want to make a lasting impact on the financial well-being of individuals, families, and small businesses. This is not just a sales job—it’s a career with purpose and opportunity. You’ll provide peace of mind to your clients while helping them navigate challenges that many of them find complex and confusing, such as preparing for retirement and saving for college. As an insurance agent, you will have the opportunity to see the positive impact of your work for years to come. You will grow personally and professionally along with your clients. What we offer... Training and development We’ll equip and train you with a multifaceted approach that includes an industry-leading learning platform, personalized coaching from dedicated training professionals, and the ability to obtain industry professional designations. We are so committed to training that we’ll subsidize it in your first two full-time contract years, providing you with additional funds, if you qualify, to help keep you on your feet while you complete our training program and grow your business. You’ll also be eligible to get rewarded and acknowledged with sales incentives and professional-development trips for our top-performing insurance agents. Digital tools Beyond this training and support, New York Life will equip you with the tools you need to succeed day-to-day, including experts on hand to answer your questions and a suite of digital sales, prospecting, and marketing tools that will help you attract and retain your clients with web, social, and email content. Products and solutions Together with its subsidiaries, New York Life provides a range of products, including life insurance, annuities, long-term care insurance, disability income insurance, and investment products such as mutual funds1 through our broker-dealer arm, NYLIFE Securities LLC (member of FINRA and SIPC), a Licensed Insurance Agency, ensuring that the solutions you develop with your clients can help them and their families achieve their financial goals. You’ll also be able to specialize and gain expertise in different areas, such as by becoming a financial advisor with Eagle Strategies LLC, our investment advisory division, to offer wealth management and advisory services,2 estate planning strategies, and business solutions. Human guidance When you join New York Life, you’re joining a strong team with peer-to-peer support options like study groups, mentorship, and other opportunities to engage with your fellow insurance agents. How we will compensate you. You have the power to determine your own income with our commission-based compensation.3 In 2023, the average income of our agents under the N8 and N9 Agent’s Contract who met annual minimum sales production requirements was $117,359.4 Individual agent performance will determine your income. Benefits for full-time agents include medical, dental, vision, life, and disability insurance, as well as a 401(k) and pension.5 For more information about commission-based income and benefits for financial professionals please follow this link _ income-and-benefits. About New York Life... New York Life is a Fortune 100 company with a long history of doing good. We have been in business for over 175 years, helping generations of Americans protect their families and attain their financial goals. As a mutual company, we are accountable only to our policyholders, not to Wall Street or outside investors. We are focused on the long-term success of our clients. Awards & Accolades... We’re proud of our financial strength.6 • A++ Superior (A.M. Best), • AAA Exceptionally Strong (Fitch), • Aaa Exceptional (Moody’s), • AA+ Very Strong (Standard & Poor’s) We’re proud of the help we’ve provided and continue to provide our clients.7 • 5.3 million LIVES PROTECTED. Includes all owners of individual life insurance and annuity policies, • $937 million LIFETIME ANNUITY INCOME PAID. Includes all payouts on individual income annuity products., • $5 billion IN LIVING BENEFITS AWARDED. Includes life and annuity cash value accumulation and qualifying policy dividends paid. Dividends are not guaranteed., • Over $1.2 trillion LIFE INSURANCE PROTECTION IN FORCE. Includes term, whole, and universal life.8* The terms ”agent” and ”financial professional” are used interchangeably throughout this brochure and refer to someone who is in a sales role under an agent contract. 1. Offered by properly licensed registered representatives through NYLIFE Securities (member FINRA/SIPC), a Licensed Insurance Agency and a New York Life company., 2. Wealth management and advisory services offered by Financial Advisors of Eagle Strategies LLC, a Registered Investment Adviser and a New York Life company. Qualification requirements include but are not limited to applicable FINRA general securities, agent state law, investment advisory licenses, compliance history, production standards, and required training. Requirements are subject to change. 1. If you qualify for an Introductory (PTAS) Contract, you will preview an agent career with New York Life as an independent contractor while continuing to work at your current job, with limited exceptions. PTAS Agents are not eligible for benefits. During this preview period of up to six months, any sales you make will continue to accrue until you either make enough sales to become a full-time agent under a Training Allowance Subsidy (TAS) Contract or the passage of six months, whichever is earlier. If you do not become a full-time agent, all commissions on any sales you made will be paid to you at the end of six months. If you become a fulltime agent under a TAS Contract, you will be credited with the commissions you accrued under the Introductory Contract., 2. Based on 2023 company data for 8,156 agents operating under our N9 and N8 Agent’s Contracts in all states, without persistency bonus, who were active as of December 31, 2023. N9 is the current contract for new financial professionals. N8 contracts were issued to new financial professionals prior to April 2004. Contracts determine your compensation and benefits. Sales production requirements are determined annually by the company. Historical agent incomes are provided for informational purposes only. Agent income is not guaranteed. Income is dependent upon the sales of each agent. Agent compensation is commission-based and determined through the ledger process. Overall compensation includes positive income credits for commissions based on actual sales and certain allowances or incentives, if eligible, based upon persistency and production, as well as debits associated with commission reversals, authorized expenses, and other items. Each credit and debit posted to the Agent’s Ledger is part of determining the agent’s compensation and no individual credit posted to the ledger is earned until the ledger reconciliation process is complete. Agents receive payments equal to the positive balance on the Agent’s Ledger after the credits and debits are applied., 3. This is necessarily brief and provides only general descriptions of the benefits available to eligible agents under the applicable plans. Specific terms, such as eligibility and benefits, are determined only by the terms and conditions contained in the relevant plan documents. In the event of any conflict between the information herein and the provisions of the plan documents, the plan documents will govern. The company reserves the right to amend or terminate the benefit plans described herein at any time for any reason., 4. New York Life Insurance Company continues to receive the highest financial strength ratings currently awarded to any life insurer in the U.S. from all four major rating agencies. Source: Individual Third-Party Ratings Reports: A.M. Best A++, Fitch Ratings AAA, Moody’s Aaa, and Standard & Poor’s AA+ (as of 11/17/2023). The ratings do not apply to investment products as they are subject to market risk and will fluctuate in value., 5. All figures reflect the consolidated results of New York Life Insurance Company and its domestic insurance subsidiaries, including New York Life Insurance and Annuity Corporation, for the 12 months ending December 31, 2023., 6. This reflects the consolidated results of New York Life Insurance Company (NYLIC) and its domestic insurance subsidiaries, including New York Life Insurance and Annuity Corporation (NYLIAC), for the 12months ending December 31, 2023. Individual life insurance in force is the total face amount of individual life insurance contracts (term, whole, and universal life) outstanding for NYLIC and its domestic insurance subsidiaries at a given time. The company’s individual life insurance in force totaled $1,200.95 billion at December 31, 2023 (including $182.34 billion for NYLIAC). Intercompany transactions have been eliminated in consolidation. New York Life is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity AR10511A_052024 SMRU5021157 (Exp.05.30.2025)

Please apply here: https://findautumn.com/careers/account-executive About Autumn Autumn is building the AI operating system for independent hotels. Hotels are still run on an extraordinarily fragmented stack of legacy software, agencies, spreadsheets, and manual workflows. We are building one AI native platform to automate that work, starting with the workflows closest to revenue, specifically digital marketing. The early sales motion is already working. Most of our growth to date has come from cold outbound, and we convert 85% of calls into customers with a one-call close because we're solving a true hair-on-fire problem. We recently raised the largest seed round in hotel tech history, led by Bessemer, and are building an exceptional team in person from our waterfront office in Williamsburg. We are now looking for an Account Executive to close at the pace this motion deserves. The Role This is a high velocity closing role for someone who loves winning. You will own new business from first conversation through close, primarily selling to independent hotel owners and operators. Sales cycles are short, deal volume is high, and you will have many opportunities moving simultaneously. You will not be building pipeline alone. We are investing heavily in outbound infrastructure and top of funnel support so that a great AE can spend the majority of their time doing what they do best: talking to customers and closing. At the same time, this is an early stage company. You will work closely with the founder and the sales team and have a real voice in how Autumn sells, including messaging, qualification, objection handling, and tooling. What You'll Do • Close at volume. Run discovery, demos, objection handling, follow up, negotiation, and closing across a high number of opportunities., • Own your number. Maintain exceptional pipeline discipline and know exactly what needs to happen to hit and outperform target., • Qualify aggressively. Autumn succeeds when our customers succeed. Knowing which hotels are likely to perform well matters just as much as knowing how to close them., • Use AI as leverage. Automate research, preparation, follow up, personalization, and administrative work so more of your time goes toward selling., • Become exceptional at the hotelier buyer. Understand how independent hotel owners think, what they care about, and how to earn credibility quickly., • Make the motion better. Notice patterns across many conversations and feed them back into messaging, qualification, and objection handling., • Bring the market back to the team. Surface recurring objections, customer needs, and segment differences that should influence product and go to market decisions., • Hand off customers cleanly. Make sure Customer Success has the context needed to get every new property live quickly and successfully. What We're Looking For Above all, we are looking for someone who has proven they can sell at high velocity. You are likely a strong fit if: • You have 2 to 6 years of closing experience in SMB, mid market SMB, or another high volume environment, • You have consistently beaten quota in a short sales cycle motion, • You are comfortable managing dozens of active opportunities without letting follow up slip, • You build trust quickly and sell with warmth and credibility rather than pressure, • You are excellent at discovery and know when to push, when to listen, and when to walk away, • You are competitive and deeply motivated by performance, • You are unusually organized, reliable, and accountable for outcomes, • You naturally look for ways to automate repetitive work with AI, • You are comfortable operating with significant autonomy and limited process, • You want to work around ambitious people in person and move very quickly If your recent experience has primarily been six figure enterprise contracts with six month sales cycles, this is probably a different sport. Preferred (Not Required) • Have sold hotel or hospitality technology, • Have sold vertical SaaS to owner operated businesses, • Have sold into restaurants, fitness, home services, local businesses, or other SMB categories, • Understand performance marketing, paid search, SEO, websites, or other revenue generating products, • Have experience in an early stage startup, • Have worked with independent hotels or short term rental operators, • Speak Spanish fluently None of these are required if you are an exceptional high velocity seller. Why This Role Is Unusual You are joining after the product has demonstrated real commercial pull, and while the sales team is still small enough that every closer shapes how it works. That means you get both: something that already sells, and a real voice in how it gets sold. You will have: • A product solving a clear and measurable customer problem, • A short sales cycle and high volume of opportunities, • Meaningful top of funnel support, • Direct access to the founders, • Significant autonomy over how you operate, • An AI native sales environment designed to remove administrative work, • Uncapped earning potential, • Meaningful equity, • Room to grow as the sales team expands Compensation & Benefits • Highly competitive cash & equity comp, • Top tier medical, dental, and vision coverage, • Lunch and fitness stipend, • Beautiful private waterfront office in Williamsburg, • Five days a week in person with a small, highly ambitious team Location • This role is five days a week in person in Brooklyn, New York.

About the Company Our client is a venture-backed, tech-enabled retail platform that launches and operates branded brick-and-mortar stores for high-growth consumer brands across activewear, apparel, jewelry, and lifestyle. The brand's name is on the door and its product is on the shelves. Our client runs everything behind it, from real estate and leases to store teams, fixtures, and point of sale. No manufacturing. No inventory. Just a lean, fast-moving corporate finance team powering a national network of stores, and a front-row seat to how modern consumer brands grow offline. About the Role Job Title: Controller (6-Month Contract, Hybrid) • Location: New York, NY (Hybrid, 1–2 days per week onsite in Manhattan), • Pay Rate: $80–$90/hour Overview Our client is bringing on an interim Controller for an approximately 6-month engagement to own the full monthly accounting cycle. The Controller will step in alongside the current Controller, who will cross-train them and hand off a fully built process during a structured overlap. This gives the Controller two complete monthly cycles side by side before taking the lead. The work runs on a predictable monthly rhythm, so a strong Controller can hit the ground running and make an immediate impact. Responsibilities • Lead the monthly brand billing cycle. This means building performance-based billing statements for every brand partner and store and reconciling amounts owed between the company and its brands. It is the heart of the role and the largest share of the monthly workload., • Drive month-end close from start to finish, including journal entries, account reconciliations, and review., • Manage ASC 842 lease accounting across a large, multi-market portfolio of retail store leases., • Prepare and review monthly financial statements, including the P&L, balance sheet, and cash flow statement, along with fixed asset accounting., • Oversee AP/AR, cash management, and cash flow analysis., • Support budgeting and forecasting in close partnership with the FP&A team., • Maintain and strengthen internal controls and support tax compliance., • Lead and develop a Senior Accountant and an AP/AR Specialist., • Partner directly with senior finance leadership and the CEO as the go-to owner of accounting accuracy and timing. Required Skills • NetSuite (general ledger, financial statements, payments, and journal entries), • Advanced Excel, including pivot tables and VLOOKUPs, • GAAP accounting and financial statement preparation, • Full-cycle month-end and year-end close, • Lease accounting (ASC 842), • High-volume, recurring workflow management with a sharp eye for accuracy, • Hands-on leadership, ownership, and the ability to work independently in a lean environment Preferred Skills • Accounting background in retail, high-growth startups, SaaS, or build-the-department environments, • CPA, • Experience with Ramp, • Please note: this role does not involve inventory accounting. Requirements • 8+ years of progressive accounting experience, • Management experience, ideally leading teams of 3 or more, • Hands-on experience in a smaller company or startup environment, owning all aspects of the month-end close, • Strong proficiency in GAAP and financial statement preparation, including month-end and year-end close, • NetSuite experience required, • Lease accounting experience required; ASC 842 experience strongly preferred, • Advanced Excel skills, including pivot tables and VLOOKUPs, • Available to start in October or November Pay range and compensation package • $80–$90/hour, approximately 40 hours per week, • Contract length of approximately 6 months, targeting a November start (October start possible) and running through May, with the possibility of extending through June, • Strong performers may have the opportunity to extend beyond the initial engagement based on business needs, • Standard business hours, roughly 9–5, with occasional evening flexibility during peak close periods, • Hybrid schedule with 1–2 days per week onsite at a modern Manhattan office, • Structured onboarding with hands-on cross-training from the current Controller and a planned overlap period, • Paid time off that accrues during the assignment, • Direct exposure to the CEO and executive team at a growth-stage company, • A fast-growing, collaborative culture where ownership is expected and impact is visible every month Why This One Stands Out • The stores our client operates span major shopping destinations in New York, Los Angeles, Chicago, and other top U.S. markets., • Brand partners range from emerging digitally native labels to established names in activewear, intimates, jewelry, and menswear., • The company is backed by leading venture investors and partners with major national mall operators and commerce platforms., • Stores go from signed lease to open doors in months, not years, at a pace traditional retail rarely matches. Additional Information • This is a hybrid role requiring in-office presence 1–2 days per week in New York City. It is not a fully remote position., • Visa sponsorship is not available for this role. Candidates must be authorized to work in the United States., • Employment is contingent upon successful completion of a background check. Equal Opportunity Statement We are an Equal Opportunity Employer.

About us • We're building a new category of interactive entertainment powered by AI characters, image, video, and real-time experiences. We’re one of the most-visited AI products globally, serving millions of users every day., • We work in-person in New York City. How we work • User-first: We build what people want. We invest time to understand our users and focus on adding value instead of extracting value., • High agency, high ownership: We own outcomes end-to-end. When something goes wrong, we take responsibility and fix it., • Urgency: We prioritize ruthlessly, increase leverage, and move at an exceptional pace. What you'll do • You'll be one of our founding growth team members: the one who finds the channels no one else has cracked, and scales whatever works. You'll own the strategy and make it real, working hand in hand with product to shape what we ship and with industry partners to open doors no ad account can. As we push toward hundreds of millions of users, you have one goal: help us 3× in the next 3 months. Example projects • Uncover opportunities: Find novel distribution hacks that no playbook covers. Community empowerment, innovative partnerships, automated advertising, viral content engines. You'll explore it all., • From 0 → 1 to 1 → ∞: Scale, automate, and optimize every channel. When you find a strategy that works, you'll turn it into our next 2× growth engine. And you'll know it works because the payback math says so., • Own the customer journey: Understand where users drop off, form a hypothesis for why, and run the test that fixes it. The instinct to break a messy funnel into its first principles matters more here than years of experience., • Know what actually drove it: You'll live in our analytics stack and own the answer to "what's really working," even when the channels are messy and cross-domain. Scale what drives growth, not what just got credit., • Work at the cutting edge: Use the latest AI tools to generate creatives, automate workflows, and increase your leverage. You'll have the autonomy to move fast and own outcomes. What you'll bring • A track record from somewhere or something that sharpens people fast: growth at a startup, consulting, finance, or wherever you learned to reason and deliver under pressure. We care about what you've actually done, not how long you've been doing it., • The ability to get shit done end-to-end. From understanding users and proposing ideas to building scrappy implementations and scaling them into repeatable processes., • A combination of creativity and an obsession with numbers. We love charts that go up and to the right, and you will too., • A hunger to win. This won't be easy, and no one has done it before. What we offer • Top-of-market compensation with meaningful equity upside., • Real ownership from day one. Work on important problems and see the impact of what you ship., • Fast-growing scope. As your impact grows, your responsibility and compensation should grow with it., • A company card for food, coffee, tools, and anything that helps you do your best work., • Daily team lunch and dinner at the office., • An unlimited workspace budget to build your ideal setup. How we think about comp • We raise the ceiling for exceptional performers, not the floor. As your impact grows, your compensation should too., • The listed range is cash + equity, with superannuation on top., • We review compensation every 6 months., • Bonuses reward past impact, and raises reflect your new level. Our interview process • Intro call: 15 minutes to align on the role and company., • Founder interview: go deep on what you’ve built, how you think, and how you work., • Role interview: 1 hour working through a practical problem relevant to the role., • Paid work trial: spend 3 days with us in-person working on a real problem. We cover travel and accommodation, if needed., • Offer: if it’s a strong fit, we move quickly.