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Job Description Allara is a comprehensive women's health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 40,000 women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes. As one of the fastest-growing women's health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women. The Opportunity We're seeking board-certified Nurse Practitioners to provide comprehensive, empathetic, and collaborative care to women-including diagnosis, treatment, and management of chronic and acute conditions. Location: Fully remote within the U.S. Your Impact • Conduct thorough patient assessments and develop personalized treatment plans via video visits., • Collaborate with a multidisciplinary team to deliver the highest standards of care., • Complete required trainings and adhere to company policies and best practices., • Promote preventative care and overall well-being through education and evidence-based strategies., • Maintain accurate and up-to-date patient records., • Dedicate a minimum of 10 patient-facing hours per week, including consults, prescribing medications when appropriate, and providing necessary medical guidance., • Required Certification: Active national board certification as a (WHNP, FNP, or similar)., • Required Experience: Minimum of 2 years of consecutive experience as a Nurse Practitioner specializing in women's health and treating chronic conditions such as PCOS, Endometriosis, Hypothyroidism, Hashimoto's, Metabolic Syndrome, Menopause, Fertility, Postpartum, PMDD, and Obesity., • Independence: Ability to operate effectively as an independent provider with strong diagnostic and problem-solving abilities., • Communication Skills: Exceptional written and verbal communication with a focus on clarity and compassion., • Webside Manner: Strong ability to connect with patients virtually and provide empathetic care., • Commitment to Evidence-Based Care: Dedication to delivering treatments grounded in the latest research., • Technical Proficiency: Highly skilled in navigating multiple computer screens and proficient in tools such as EMR, text expanders, Gmail, Google Calendar, Zoom, and scheduling platforms., • Telemedicine: Experience is a plus!, • State Licensure Requirements: an active, unrestricted, and unencumbered state license in at least one of the following states:, • California, Texas, Michigan, New Jersey, Ohio, Pennsylvania, • Autonomous preferred: Illinois, Massachusetts, Connecticut, Maryland, New York, Florida We collect all active state licenses in our application process, and if we do not have an immediate need for your specific license(s), we can easily revisit opportunities in the future if your experience aligns. What Allara Offers • Compensation: We offer competitive per-visit rates, plus additional pay for charting, administrative tasks, and other patient-related tasks., • Fully Remote Role: Work from anywhere in the US., • 1099 Contract Agreement: Enjoy the flexibility and independence of a contractor role. Allara also offers a full-time W2 opportunity., • Flexible Schedules: Set the hours that best fit your lifestyle and availability., • Malpractice Insurance: Comprehensive coverage provided., • Mission-Driven Impact: Join us in transforming healthcare for women, making a meaningful difference every day., • Collaborative Community: Engage with and learn from a network of dedicated Allara providers.

Job Description Allara is a comprehensive women's health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by over 40,000 women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes. As one of the fastest-growing women's health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women. The Opportunity We're seeking board-certified Gynecologists to provide comprehensive, empathetic, and collaborative care to women-including diagnosis, treatment, and management of chronic and acute conditions. Location: Fully remote within the U.S. Your Impact • Conduct thorough patient assessments and develop personalized treatment plans via video visits., • Collaborate with a multidisciplinary team to deliver the highest standards of care., • Complete required trainings and adhere to company policies and best practices., • Promote preventative care and overall well-being through education and evidence-based strategies., • Maintain accurate and up-to-date patient records., • Dedicate a full-time focus, including consults, prescribing medications when appropriate, and providing necessary medical guidance., • Required Medical License: MD or DO degree from an accredited institution., • Required Certification: Active national board certification in Gynecology., • Required Experience: Minimum of 2 years of consecutive experience as a Gynecologist specializing in women's health and treating chronic conditions such as PCOS, Endometriosis, Hypothyroidism, Hashimoto's, Metabolic Syndrome, Menopause, Fertility, Postpartum, PMDD, and Obesity., • Independence: Ability to operate effectively as an independent provider with strong diagnostic and problem-solving abilities., • Communication Skills: Exceptional written and verbal communication with a focus on clarity and compassion., • Webside Manner: Strong ability to connect with patients virtually and provide empathetic care., • Commitment to Evidence-Based Care: Dedication to delivering treatments grounded in the latest research., • Technical Proficiency: Highly skilled in navigating multiple computer screens and proficient in tools such as EMR, text expanders, Gmail, Google Calendar, Zoom, and scheduling platforms., • Telemedicine: Experience is a plus!, • State Licensure Requirements: An active, unrestricted, and unencumbered state license in at least 2 of the following states: What Allara Offers • Annual base salary range: $200,000 and can increase up to $275,000 through our incentive compensation program, • Fully Remote Role: Work from anywhere in the US., • Flexible Schedules: Choose from our schedule options that best fit your lifestyle and availability., • Malpractice Insurance: Comprehensive coverage provided., • Mission-Driven Impact: Join us in transforming healthcare for women, making a meaningful difference every day., • Collaborative Community: Engage with and learn from a network of dedicated Allara providers.

Job DescriptionAbout Us PermitFlow is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market. Our platform automates the slow, manual permitting process for builders, handling everything from jurisdiction research to application preparation, submission, and real-time tracking. By turning fragmented regulations and workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence. We've raised over $36.5M with Kleiner Perkins leading our Series A, with participation from Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, Uber, and more. We are a team of architects, engineers, permitting experts, and product builders who know the pain of pre-construction firsthand and are committed to solving it. Demand is growing faster than we can keep up, and we’re looking for top talent to help us scale. Our HQ is in New York City with a hybrid schedule (3 in-office days per week). We prefer NYC-based candidates or those open to relocation. About the Role We are seeking a seasoned and strategic Head of Customer Success to lead our CS team and drive exceptional customer outcomes. This individual will be responsible for building a scalable customer success program that ensures customer satisfaction, retention, and growth. This includes managing the entire post-sale customer lifecycle, overseeing a team of CSMs, and directly owning our renewal and expansion motion—including deal structuring, upsell strategies, and operational rigor. Key ResponsibilitiesCustomer Success Strategy & Leadership * Define and execute scalable CS strategies across onboarding, adoption, retention, and growth. * Lead and develop a high-performing team of CSMs with clear goals and KPIs. * Build a systematic post-sales processes tracked through our CRM and collaborate cross-functionally to ensure a seamless customer experience. * Be accountable to and report on retention and expansion performance metrics (e.g., NRR, churn). Customer Advocacy, Retention & Risk Management * Build strong executive relationships to drive satisfaction, loyalty, and advocacy. * Maintain a constant pulse on customer health and proactively identify churn risks. * Surface actionable feedback to Product and other teams to enhance the customer experience. Renewals & Upselling * Own the full renewal cycle, including forecasting, pricing, deal structuring, and negotiation. * Establish and manage proactive renewal timelines and repeatable playbooks. * Use Salesforce to systematically track renewals, expansion pipeline, and customer lifecycle milestones. Cross-Functional Collaboration * Translate customer insights into actionable feedback to inform Product development and enhance the end-to-end user experience. * Collaborate closely with Sales to align on account strategy, identify revenue opportunities, and drive upsell and renewal outcomes. * Partner with the Operations team to streamline client communications related to project tracking, status updates, and overall engagement throughout the permitting process. Qualifications * 8+ years of experience in Customer Success or Account Management, including 4+ years in a leadership role * Previously scaled and managed CS teams at early-stage or growth-stage startups * Proven track record of managing renewals and upsells, including deal structuring, renewal operations, and contract negotiations. * Experience in B2B SaaS, preferably with technical products and/or startup environments. * Strong communication, leadership, and project management skills. * Experience implementing and managing CRM for CS pipeline and renewal management. * Passion for building systems, teams, and processes from the ground up. * Experience in construction tech is a huge plus! Even if you don’t meet 100% of the qualifications, we recommend applying to the role! Benefits: * 💰 Competitive Salary * 📈 Equity packages * 🩺 100% Paid health, dental & vision coverage * 🍽️ Lunch & Dinner provided w/ a fully stocked kitchen * 🚍 Commuter benefits * 🌴 Unlimited PTO Compensation Range: $250K - $275K

Job Description🚀 About PermitFlow PermitFlow is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market. Our platform automates the slow, manual permitting process for builders, handling everything from jurisdiction research to application preparation, submission, and real-time tracking. By turning fragmented regulations and workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence. We've raised over $36.5M with Kleiner Perkins leading our Series A, with participation from Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, Uber, and more. We are a team of architects, engineers, permitting experts, and product builders who know the pain of pre-construction firsthand and are committed to solving it. Demand is growing faster than we can keep up, and we’re looking for top talent to help us scale. Our HQ is in New York City with a hybrid schedule (3 in-office days per week). We prefer NYC-based candidates or those open to relocation. ✋ Who you are? * B2B Software Customer Success Expert: You've managed customers with 5-6 figure ACVs, and always take a pro-active approach that is thoughtful and detail-oriented. * Customer Focused: Build and maintain strong, long-lasting customer relationships. You'll be the go-to for our customers who keenly understands their business needs and how PermitFlow can fit in to their growth and success. * Thought Leader: Act as a key player in the CS process, iterating adoption all the way through advocacy. * Analytical: You're take a data-driven approach and are able to gather, format, and interpret data to leverage in customer conversations. ✅ What You’ll Do: As an early Customer Success Manager at PermitFlow, you’ll work alongside the Head of Customer Success to both support our rapidly-growing customer base and develop and iterate on processes. * Manage a book of business comprised primarily of contractors and developers in the construction industry and nurturing stakeholder relationships with decision makers and influencers * Own customer rollout, lifecycle management, renewal and expansion for your book of business * Collaborate with our Permit Operations team to onboard clients and ensure their continued satisfaction with the platform * Proactively build and project-manage intervention plans for at-risk customers * Engage with Product and Operations leadership to provide user feedback and play a key role in developing the product roadmap * Collaborate with the Head of Customer Success on internal initiatives, building process and laying the groundwork for future CSMs The ideal candidate for this role is a proactive team player that is willing to dive in head first in the face of ambiguity, and a customer-first thinker who can rationalize the needs of our customers’ businesses with our own priorities. 🙌 Qualifications & Fit: * 4+ years of experience within the early stage tech startup space * Excellent communication and negotiation skills, with the ability to deliver presentations and demonstrations effectively * Self-motivated and driven, with a passion for building strong customer relationships * Willing to dive in head first in the face of challenges and ambiguity * Experience in the construction industry (and ideally permitting) is a strong plus! 💙 Benefits: * 📈 Equity packages * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 💻 Company issued laptop. * 🎧 Home office & equipment stipend * 🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen * 🚍 Commuter benefits * 🎤 Team building events * 🌴 Unlimited PTO ✏️ Interview Process * 20 minute initial assessment * 20 minute interview with recruiter * 30 minute hiring manager interview * 30 minute role playing interview with hiring manager * 30 minute interview with our CEO * Reference check * Offer! Compensation Range: $110K - $150K

Job DescriptionCompany Description We help job seekers and career changers prepare for and advance in careers with a focus on sustainable, high-growth, high-demand industries. Our committed and well-trained workforce professionals deliver comprehensive workforce solutions at integrated career centers, sector-focused centers and community, and partner sites. Job Description • Interviews customers, reviews and completes all forms required for successful entry into the program, • Follows up on all no shows and reschedules their appointments, • Conducts group orientations, • Guides members to available online service options, • Trains members on various literacy topics of interest, • Teaches basic Microsoft Software courses, • Administers quarterly entrance examinations to individuals to demonstrate progression, • Contacts potential members provided by outreach staff • Bachelor’s degree required. One to two years in workforce development or related field preferred., • Strong project management skills, including managing competing priorities and meeting deadlines, • Computer proficiency in Microsoft Office, Google Docs, Internet Research, and social media., • Outcome driven, strong analytical skills with experience using data to inform programmatic decisions., • Highly motivated, with proven capacity to work independently, take initiative, and thrive in high-paced entrepreneurial environment., • Flexible, with availability to work a weeknight and occasional Saturdays. Additional Information All your information will be kept confidential according to EEO guidelines. Equus Workforce Solutions is a leading provider of workforce development services in North America. With a dedicated and passionate team, Equus puts the industry’s best practices to work by focusing on the development, design, and delivery of demand-driven workforce solutions. When you join Equus, you can expect extensive learning opportunities and networking programs. But most of all you can expect to make a lasting impact on the lives of others. At Equus we are strengthened by diversity. We are committed to providing a work environment in which everyone is included, treated fairly and with respect. Equus Workforce Solutions is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, age, pregnancy, sexual orientation, gender identity, ancestry, religion, national origin, veteran status, physical or mental disability, or reprisal or any other characteristic protected under state, federal, or local law.

Job Description🚀 About PermitFlow PermitFlow is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market. Our platform automates the slow, manual permitting process for builders, handling everything from jurisdiction research to application preparation, submission, and real-time tracking. By turning fragmented regulations and workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence. We've raised over $36.5M with Kleiner Perkins leading our Series A, with participation from Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, Uber, and more. We are a team of architects, engineers, permitting experts, and product builders who know the pain of pre-construction firsthand and are committed to solving it. Demand is growing faster than we can keep up, and we’re looking for top talent to help us scale. ✋ Who you are? As our first Enterprise Customer Success Manager, you’ll take ownership of our most complex, high-value customer relationships—contractors and developers that are reshaping the built world. This role goes beyond managing accounts; it’s about driving value, influencing product direction, and helping build the CS function for scale. You’ll work closely with the CEO and Head of Customer Success to lead strategic rollouts, maximize renewals and expansion, and implement processes that enable PermitFlow to deliver exceptional, repeatable outcomes across the enterprise customer base. ✅ What You’ll Do: As an early Customer Success Manager at PermitFlow, you’ll work to both support our rapidly-growing customer base and develop and iterate on processes. * B2B Enterprise Ownership: own a high-value book of business—primarily enterprise residential and home services companies—across onboarding, retention, renewals, and expansion. * Strategic Partnership: Build deep, strategic relationships with senior stakeholders, acting as a trusted advisor and partner in their long-term success. * Success Strategy & Advocacy: Design and execute customer success strategies that drive product adoption, deliver measurable value, and turn customers into PermitFlow evangelists * AI-Driven Innovation: Collaborate cross-functionally with our CEO, Product, Engineering, and Permit Operations to shape and deploy AI-powered solutions that drive business-changing impact for our customers * Proactive Risk and Retention Management: Leverage key customer success metrics and KPIs to proactively identify risks, develop mitigation plans, and ensure customer retention. Scale Customer Success: Bring structure and scalability to the CS function by developing repeatable playbooks, reporting systems, and operational frameworks—especially in the context of LLM adoption and usage. The ideal candidate for this role is a proactive team player that is willing to dive in head first in the face of ambiguity, and a customer-first thinker who can rationalize the needs of our customers’ businesses with our own priorities. 🙌 Qualifications & Fit: * Proven experience: 7+ years across B2B SaaS Customer Success, Account Management, or Strategic Operations with a strong track record of managing enterprise-level customers with high ACVs ($300K+) and complex requirements * A builder’s mindset: you bring a scrappy, self-starter mindset and thrive in ambiguity, driving clarity, collaboration, and progress in a fast-paced startup environment * AI-first approach: You’re excited to work alongside top technical talent to help automate a massive and antiquated industry, and consistently use AI to enhance your own workflows * Bonus: experience in construction tech, operations-heavy industries, or permitting workflow 💙 Benefits: * 📈 Equity packages * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 💻 Company issued laptop. * 🎧 Home office & equipment stipend * 🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen * 🚍 Commuter benefits * 🎤 Team building events * 🌴 Unlimited PTO ✏️ Interview Process * 20 minute initial assessment * 20 minute interview with recruiter * 30 minute hiring manager interview * 30 minute role playing interview with hiring manager * 30 minute interview with our CEO * Reference check * Offer! Compensation Range: $135K - $175K

Job DescriptionWho We Are:Heat pump and other HVAC failures cost billions in emergency repairs and wasted energy annually, and are managed by an increasingly short-handed labor pool. That’s where we step in: Thalo is transforming the HVAC industry with next-generation sensing and AI-powered intelligence. Our AI-powered platform transforms static assets into self-monitoring, high-performance systems, empowering technicians to shift from reactive fixes to proactive service. Our team has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, led manufacturing design for Boom Supersonic jets, and more. We are united by our shared goal of making products that help us leverage the built environment to decarbonize today and accelerate drawdown globally. About the Role: As the Head of Partnerships and Commercialization, you’ll report to and partner directly with our CEO to develop and execute on all things GTM at Thalo. Thalo customers are more than just clients, they’re partners in the Thalo commercial ecosystem whose feedback helps to continuously improve our product offerings, refine our product market fit, and inform our commercialization strategy. You’ll foster meaningful business relationships with our existing roster of customers, as well as drive both the strategy and execution of new customer discovery and business development. This is a hands-on leadership role with both tactical and strategic work: some days you may be leading product discovery to deepen our understanding of market demands and other days you may be cold-calling HVAC providers to pitch a partnership arrangement with Thalo. If you’ve led Growth, Revenue, Business Development, or other GTM-related teams at startups, we’d love to talk with you!What We Offer • An immediate opportunity to make an impact fighting climate change with a mission-driven team., • An in-person, collaborative culture. In our midtown Manhattan office, we not only have a stocked pantry but we also dedicate time to connect with each other during weekly happy hours and quarterly offsites., • National subsidized healthcare plans for medical, dental, and vision insurance, • Additional benefits include a 401(k) program, 12 weeks paid parental leave, and paid time off, • Free, anonymous mental health and coaching appointments through Lyra., • Thalo Labs believes everyone should be compensated fairly. At our ground-floor stage, our compensation structure places a strong emphasis on the value of high equity, with an annual base salary ranging from $140,000-$180,000, and commission. What You'll Do, • Create and own the go-to-market and growth plans. Develop, maintain, and execute on a robust customer acquisition strategy., • Develop, maintain, and drive meaningful customer partnerships to drive increased sales, continuous product market discovery, customer feedback, and channels for feature experimentation., • Manage and grow the business development team at Thalo., • Develop and execute product marketing strategies for Thalo, such as driving market differentiation and product positioning., • Conduct market research and competitive analysis to identify opportunities and inform product strategy and development., • Define and implement commercialization strategies to accelerate sales and revenue growth.What You Have, • 8+ years of experience working in revenue growth focused role such as Partnerships, Sales, GTM, Business Development, Growth, or Revenue, • Go-To-Market: Proven experience bringing new products to market, preferably with a mix of experience across startups and mid to large sized companies, • Product Market Fit: A deep understanding of searching, building, and refining product market fit, including identifying new market opportunities and iterating on product market positioning, • Adaptability: A process mindset with high attention to detail combined with the ability to quickly pivot as initial assumptions are tested, new information is received and new opportunities are identified., • Communication: Excellent communication and negotiation skills with a knack for identifying the solutions that best address customers’ needs and articulating the value, • Leadership: A passion for leading incredible teams and fostering a best-in-class work culture, • Product Thinking: A strong understanding of how to leverage customer feedback to inform better product development and engineering cycles., • Even if you don’t meet all the requirements listed above, we still encourage you to apply. We’re interested in meeting with a broad array of candidates! And every application is reviewed by an actual person, we promise!Bonus Points, • An MBA or other postgraduate degree focused on business delivery., • Passion for tackling climate change and promoting sustainability.

Job Description🚀 About PermitFlow PermitFlow is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market. Our platform automates the slow, manual permitting process for builders, handling everything from jurisdiction research to application preparation, submission, and real-time tracking. By turning fragmented regulations and workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence. We've raised over $36.5M with Kleiner Perkins leading our Series A, with participation from Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, Uber, and more. We are a team of architects, engineers, permitting experts, and product builders who know the pain of pre-construction firsthand and are committed to solving it. Demand is growing faster than we can keep up, and we’re looking for top talent to help us scale. Our HQ is in New York City with a hybrid schedule (3 in-office days per week). We prefer NYC-based candidates or those open to relocation. ✋ Who you are? As our second Enterprise Customer Success Manager, you’ll take ownership of our most complex, high-value customer relationships—contractors and developers that are reshaping the built world. This role goes beyond managing accounts; it’s about driving value, influencing product direction, and helping build the CS function for scale. You’ll work closely with the CEO and Head of Customer Success to lead strategic rollouts, maximize renewals and expansion, and implement processes that enable PermitFlow to deliver exceptional, repeatable outcomes across the enterprise customer base. ✅ What You’ll Do: As an early Customer Success Manager at PermitFlow, you’ll work to both support our rapidly-growing customer base and develop and iterate on processes. * B2B Enterprise Ownership: own a high-value book of business—primarily enterprise residential and home services companies—across onboarding, retention, renewals, and expansion. * Strategic Partnership: Build deep, strategic relationships with senior stakeholders, acting as a trusted advisor and partner in their long-term success. * Success Strategy & Advocacy: Design and execute customer success strategies that drive product adoption, deliver measurable value, and turn customers into PermitFlow evangelists * AI-Driven Innovation: Collaborate cross-functionally with our CEO, Product, Engineering, and Permit Operations to shape and deploy AI-powered solutions that drive business-changing impact for our customers * Proactive Risk and Retention Management: Leverage key customer success metrics and KPIs to proactively identify risks, develop mitigation plans, and ensure customer retention. Scale Customer Success: Bring structure and scalability to the CS function by developing repeatable playbooks, reporting systems, and operational frameworks—especially in the context of LLM adoption and usage. The ideal candidate for this role is a proactive team player that is willing to dive in head first in the face of ambiguity, and a customer-first thinker who can rationalize the needs of our customers’ businesses with our own priorities. 🙌 Qualifications & Fit: * Proven experience: 7+ years across B2B SaaS Customer Success, Account Management, or Strategic Operations with a strong track record of managing enterprise-level customers with high ACVs ($300K+) and complex requirements * A builder’s mindset: you bring a scrappy, self-starter mindset and thrive in ambiguity, driving clarity, collaboration, and progress in a fast-paced startup environment * AI-first approach: You’re excited to work alongside top technical talent to help automate a massive and antiquated industry, and consistently use AI to enhance your own workflows * Bonus: experience in construction tech, operations-heavy industries, or permitting workflow 💙 Benefits: * 📈 Equity packages * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 💻 Company issued laptop. * 🎧 Home office & equipment stipend * 🍽️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen * 🚍 Commuter benefits * 🎤 Team building events * 🌴 Unlimited PTO ✏️ Interview Process * 20 minute initial assessment * 20 minute interview with recruiter * 30 minute hiring manager interview * 30 minute role playing interview with hiring manager * 30 minute interview with our CEO * Reference check * Offer! Compensation Range: $135K - $175K

Job Description Interested in joining Blue State's Strategy Team? Submit your application here to ensure you're first in line for future opportunities. Please note: this is an "evergreen" job post (i.e. not an active job post), but your expression of interest matters to us. While interviews aren't ongoing, we're excited to connect with talented individuals who share our commitment to Blue State's mission. If you came across this job via LinkedIn, please note that it is an evergreen role; Linked In does not differentiate, but we prefer to. What to know Help progressive causes achieve lasting change through high-performing programs and sustainable growth. We're looking for a Strategy Director with a record of success in developing the strategy that underpins supporter engagement, and supporting execution teams to drive results and adapt to learnings. This includes generating and synthesizing audience insights, fundraising and mobilization program and user journey development, KPI setting, informing testing plans and priorities, data and tech consulting, creating budget and staffing recommendations, and more. In this role, you might find yourself devising a supporter-first strategy to help a charity efficiently scale and grow sustainably. Or, you may be challenged with uncovering rich audience insights that lead to new opportunities for an organization's expansion plan. You'll be a part of a team of multi-disciplinary colleagues including creative directors, communications strategists, analysts, tech directors, and account directors. We're looking for an analytical individual who can inspire and mentor people across disciplines. The company Blue State is a purpose-driven agency. We partner with leading causes, brands, and campaigns and create real change. From Google and UNICEF to Amnesty International and Oxfam, we transform how brands and causes raise money, influence policy, build platforms, and grow communities of supporters. Led by the most creative and analytical minds from the political, nonprofit, and brand worlds, Blue State is an independent agency with 150+ employees in the US and London. A day in the life • Surface the audience insights and business intelligence that drive breakthrough campaigns and experiences; ensuring creative execution maps back to the strategy & recommending pivots and enhancements as needed., • Establish strategic direction for campaigns, organizations, branding projects, or products by defining objectives, audiences, budgets and KPIs. We're looking for a person able to create order from chaos, alignment where there are many different expectations, and buy-in even with the most senior C-suite clients., • Translate research and performance data findings into actionable tools and formats like audience and budget prioritizations, user journeys, and strategic plans. Primary research (interviews, surveys, focus groups, creative testing) as well as secondary (desk research, landscape and trend analysis, using audience intelligence tools, social listening) skills desirable., • Lead client and internal brainstorms, planning meetings and presentations, and program development workshops., • Use frameworks like SWOTs, gap analyses, positioning matrix, cost/benefit analysis, audience persona mapping, landscape research, creative briefs, strategy maps, theories of change, cases for support, etc. to guide our strategies, clients and teams, creating clear and compelling end-to-end deliverables., • Experience of direct response fundraising performance and/or e-commerce experience working to drive digital results is essential. You will be expected to articulate email, social media, paid media, content strategy, and UX recommendations and best practices, as well as have an understanding of how propositions and creative lives on a range of integrated channels, supporting online and offline performance., • Grow and manage client portfolios through regular account planning activities, and create client roadmaps over months and years where appropriate., • Craft and pitch new business as well as represent Blue State via event participation and other thought leadership, • Strengthen and evolve our fundraising and mobilization capabilities For us, this isn't just work. Everything we do is connected to something we care about and we're seeking an individual willing to work tirelessly to create positive change in the world. What we offer • Unlimited time-off (inclusive of sick, personal, and vacation days), • $1,250 annually in professional development funds, • Competitive health, dental, and vision insurance, • Flexible and health savings accounts, • 401K & employer match, • Generous paid holiday schedule, • 12-week fully-paid parental leave for all parents-to-be, • Short-term and long-term disability insurance, • Pre-tax commuter benefits The salary range for this position is $112,500-$140,000; compensation will be commensurate with experience. Some things we're looking for • You have at least 8+ years of relevant experience in a relevant role, with a proven track record of driving income through digital campaigns and channels., • You're a thinker and a doer; this role asks you to both provide oversight and be willing to roll up your sleeves and dig into the work., • You are not a lone wolf. You genuinely enjoy bringing others along in the process of the work. The words "that's not my job" aren't part of your vocabulary–particularly when it's clear that those around you may be still learning and in need of support., • You have command of a room and superb presentation skills. You have the ability to build trust and confidence in early interactions, and understand the art of how to sell great ideas and great work., • You're resilient and able to adapt to new situations, solve problems on the fly, and communicate with those around you. Teamwork and scrappiness required, with an agile approach to projects which may change course regularly based on results and the external environment requiring a pivot., • You're a people leader, experienced and dedicated to growing and mentoring teams, while being open to feedback and what you can learn from others., • You have a shared passion and curiosity for making change. This includes comfort with ambiguity, a restlessness that resists the status quo, and a commitment to quality that ensures we're always making progress. Blue State is committed to creating an inclusive and accessible application and interview process. If you would like to request a reasonable accommodation for a disability, including the use of AI tools throughout the hiring process, please contact us at with the subject line: Accommodation Request to get started. Your privacy is important to us. You can find out more information on how we handle your data for recruiting purposes in our Privacy Policy for Recruitment.

Overview We are seeking a seasoned Marketing Manager to spearhead marketing strategies across U.S. and European markets, emphasizing retail activations, collaborations, and franchise partnerships in the fast fashion industry. The ideal candidate will leverage deep insights into North American and European consumer behaviors, digital tools, and urban fashion trends to elevate store traffic, sales, and brand loyalty. This role demands strategic vision, hands-on execution, and exceptional relationship management to fuel URBAN REVIVO's long-term global growth. Duties • Design and implement regional marketing strategies for U.S. and European markets, aligning with business objectives while leveraging local urban trends and consumer insights, • Strategize and execute high-impact retail marketing campaigns (in-store events, seasonal promotions, product launches) to drive foot traffic and revenue growth through data-driven tactics, • Lead collaborative partnerships with influencers, brands, and retailers managing full-cycle project development from concept to execution with clear ROI metrics, • Build and maintain strategic relationships with media outlets, KOLs, and influencers across U.S. and European markets proactively identifying partnership opportunities and tracking campaign performance, • Oversee POSM (Point-of-Sale Materials) development and optimization to ensure brand consistency while enhancing in-store customer engagement and conversion rates, • Partner with franchisees to create localized marketing plans with ongoing performance monitoring and strategic adjustments to maintain alignment with corporate goals, • Develop hyper-localized digital promotion strategies using analytics tools to refine targeting, maximize campaign effectiveness, and deliver measurable sales growth, • Strengthen brand equity through consumer research, trend analysis, and sustainability-driven storytelling that resonates with urban audiences in key markets, • Manage marketing budgets with KPI tracking (ROI, engagement rates, conversion metrics) and deliver strategic insights to executive leadership through regular performance reporting, • Foster cross-functional collaboration with social media, PR, retail, and sales teams to deliver integrated, innovative marketing solutions that drive business results Requirements • Bachelor's degree in Marketing, Business, Communications, or a related field; Master's degree preferred, • 6+ years of progressive marketing experience, including cross-functional roles in social media, PR, retail marketing, events, and campaign management., • Proven track record in developing and executing successful retail marketing strategies including event planning, GWP (Gift-With-Purchase) programs, and experiential activations in fast fashion/apparel sectors, • In-depth understanding of U.S. and European consumer behavior, urban fashion trends, and brand ecosystems with experience in NYC's diverse retail environment being highly advantageous, • Established network of media contacts, KOLs, and influencers in U.S./European markets with demonstrable success in partnership development and negotiation, • Advanced proficiency in digital marketing tools (Google Analytics, Hootsuite, Adobe Creative Suite, Salesforce) and data analytics for strategic decision-making, • Exceptional communication, project management, and leadership skills with ability to manage multiple stakeholders in high-energy, fast-paced environments, • Willingness to travel up to 30% or more of the time for events, franchise site visits, and market research in key urban markets, • Background in fast fashion or urban apparel retail, emphasizing sustainable and inclusive marketing approaches.（preferred）, • Certifications in digital marketing (e.g., Google Digital Marketing & E-commerce, HubSpot Inbound Marketing) or equivalent.（preferred）, • Bilingual proficiency (e.g., English and Mandarin or a European language) to support cross-cultural collaborations and global expansion.（preferred）

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign’s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world’s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries. Overview We’re looking for an outstanding Associate Director—someone who can win the hearts of clients, inspire their teammates, and skillfully juggle multiple pieces of business. This is a unique opportunity for an experienced digital media star to actively drive performance for some of the largest brands on the planet. In this role, you can make a real difference in our clients’ business and our own. Responsibilities As an Associate Director, you’ll be responsible for oversight of your team and all campaign management activities they perform. You will be accountable for ensuring best practices are followed by your team and campaigns are set up, managed, and operated according to strategic plans. You will also assist in final QA of campaigns prior to launch. You’ll be responsible for identifying opportunities for process improvement and working to implement improved processes with your team. You will be the representative for the precision capability with other capability leaders and should be able to explain to internal/client leadership complex precision concepts in an easily digestible manner. You will be the representative to leadership for your team communicating needs and ensuring they are met. You will help guide the overall media strategy while ensuring it aligns with client marketing strategy. You will be responsible for delivering against and exceeding client KPIs. Most importantly, you must possess a strong inner drive to redesign the digital media landscape, enjoy working with some of the finest minds in the industry, and want to be a part of something truly unique that will have a lasting impact on some of the world’s biggest brands. Day to day your role includes: • Directing and managing the daily workflow of all Digitas client campaigns, including proposal development, campaign activation and maintenance, and post-buy recaps, • Interfacing with media strategy teams to build strategic campaign plans, communicate recommendations, and identify and deliver new solutions in a collaborative fashion, • Reviewing client deliverables for quality, ensuring that recommendations and work products are sound and viable, • Owning development and review of strategic proposals, coordinating across teams to account for all relevant inputs and providing pressure testing through a client lens when needed, • Assuming accountability and ownership of campaign execution for assigned client accounts, • Developing and maintaining quality control procedures for campaign implementations, • Understanding and effectively communicating our value proposition, technology, and processes as related to the growth of current and prospective agency accounts, • Monitoring and reporting on campaign performance, • Participating in forecasting exercises for senior management, • Adopting established account management standards and program management best practices, • Supporting training, mentoring, and development of team members, • Participating in regular sessions to share and learn new strategies for optimizing and enhancing campaign performance, • Embracing and encouraging a culture based on teamwork, collaboration, and intellectual curiosity, • Assisting in the development and documentation of best practices for improving communication and collaboration within the team and the group Qualifications • Six to nine years of deep experience in display and video media buying, • In depth understanding of media planning and programmatic buying, and practical experience with Google Marketing Platform, TheTradeDesk, or similar buying platforms, • Proven experience with at least three or more years of people management experience, overseeing three or more reports in an account management/client services team, • Strong fluency with the digital media ecosystem– you know this world by heart and you keep pulse with the rapid changes happening within it – and a clear, solid understanding of the media planning and buying process, • Extensive experience in a client service position or role, • The ability to organize and manage your work and that of the junior staff on the team, • Strong analytical thinking and mathematical skills, • Excellent communication and writing skills—you’re poised, precise, and above all, kind when relating to others, • Solid presentation skills and presenting to key stakeholders or senior leadership with confidence, • Willingness to travel as needed – you’re open to new places, new faces and new ideas, • A four-year college degree, • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation. Additional Information Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact . Compensation Range: $95,950 - $150,995 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/15/2025.

Job Description The Senior Coordinator is responsible for data input, data hygiene, analysis, and reporting for all components of Film at Lincoln Center’s database, Tessitura, that relate to donors and fundraising. This individual will play an integral role in the donor engagement strategy at FLC by helping to identify and track data to inform effective donor outreach and programs. They will compile reports to evaluate success and develop best practices for optimal donor engagement. This individual will also support the day-to-day functions of the donor engagement team by tracking project status and deliverables. Primary Duties: Data Collection & Input * Manage department functions in donor database: * Input donor data * Review, clean, and organize donor records and corresponding data * Pull data for list creation, as needed * Process, track and report memberships and financial contributions in database * Collaborate with Finance team to reconcile and update financial trackers * Process quarterly payments for members * Send tax acknowledgements and thank you letters to donors * Reconcile weekly memberships and send welcome letters, digital membership cards and tax acknowledgements * Collaborate with Systems Team on database validation, testing and implementation of new functionality and provide training / technical assistance to other members of the team Data Analysis and Strategic Reporting * Collaborate with team to identify donor engagement Key Performance Indicators (KPIs) * Develop process / documents for tracking and reporting KPIs * Create and regularly maintain reports, including authentication of results * Collaborate with team to analyze results and apply learnings to future planning initiatives * Generate ad-hoc reports * Independently research, learn, and implement new data collection ideas / reports Project Management * Manage and update workback schedules and follow-up with stakeholders to ensure deadlines are met * Organize meetings and produce follow-up notes / next steps * Assist with preparation of documents and presentations required for internal meetings * Develop and maintain documentation of learned skills and processes for future reference and training purposes * Manage inventory of donor collateral (membership brochures, punch cards, etc) * Assist, as necessary, with event invite lists, managing RSVPs, inputting reserved seating or ticketing needs * Assist with check-in or other on-site needs at events (occasional evening work required) * Other duties as assigned Required Qualifications * A minimum of 3 years of professional experience tracking data * At least 2 years of experience working in Tessitura: donor records, memberships, contributions, lists, dashboards, reports * Proficiency managing and analyzing data in Excel / Google Sheets Required Skills * Strong problem-solving skills and the ability to adapt to changing program requirements * Curiosity and a passion for learning new ideas and skills * Demonstrated ability to self-teach and independently acquire new skills and knowledge * Demonstrated ability to work in a fast-paced, team environment * Exceptionally detail-oriented * Demonstrated enthusiasm for team’s work and passion for film/the arts * Excellent written and verbal communication skills * Ability to engage confidently with donors and customers on the phone and in-person This position is represented by UAW 2110. Please submit a resume and short cover letter by October 31st. The process will include one virtual interview, one in-person interview, and a short performance test.

PullRank is looking for a Search Engine Optimization Manager to join our team to perform site auditing, keyword research, competitive analysis, log file audits, backlink audits, and to help with content marketing and client reporting. The SEO Manager is a master of all things Google with a technical

Lead Machine Learning Engineer - ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: • Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers., • Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI., • Fine-tune, develop and evaluate machine learning and foundation models,, • Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities, • Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One., • Leverage a broad stack of Open Source and SaaS AI technologies., • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues., • Retrain, maintain, and monitor models in production., • Construct optimized data pipelines to feed ML models., • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. The Ideal Candidate:, • 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., • You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown., • Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: • Bachelor's degree, • At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply), • At least 4 years of experience programming with Python, Go, Scala, or Java, • At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications:, • 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, • 6 years of experience designing, developing, delivering, and supporting AI services at scale, • 3 years of experience developing AI and ML algorithms or technologies using Python, • 2 years of experience with Retrieval Augmented Generation (RAG), • Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure, • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) 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. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . click apply for full job details

Lead AI Engineer (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Lead AI Engineer (AI Foundations, LLM Core, Agentic AI) Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Distinguished AI Engineer Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Manager, AI Engineering (People Leader) (GenAI Platform Services) Overview: 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. Team Description: 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. In this role, you will: • 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., • 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., • Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • 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. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 1 year of people leadership experience Preferred Qualifications:, • 3 years of experience managing and leading an engineering team, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $204,900 - $233,800 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Manager, Software Engineering, Full Stack (People Leader) We are seeking a talented Senior Manager people leader to provide technical leadership and guidance in support of building out and scaling GraphQL as a platform for the Enterprise. This is a high impact role is for a technologist who can not only help design and implement scalable and performant GraphQL solutions but also help guide strategy, mentor the team, and streamline development practices. You will be a key player in shaping our technical roadmap, elevating our engineering talent, and fostering a culture of efficiency and quality. What You'll Do: * Technical Leadership : Guide the team on the technical vision and strategy for GraphQL, including schema design, API governance, performance, and security as well as guide the use of Graph in AI. * Architectural Guidance : Lead the design and implementation of complex GraphQL systems, ensuring they are scalable and reliable. You'll provide expert architectural guidance to your team and others. * Cross LOB Influence: Work with teams across the enterprise to develop solutions to meet their evolving needs and collaborate closely with partners in Card to build supporting platforms. * Mentorship & Collaboration : Act as a technical expert and mentor, helping to guide engineers, improve their skills, and deliver high-quality solutions. * Cross-Functional Partnership : Partner closely with product managers and designers to translate business needs into technical solutions and align on project goals. * Innovation & Research : Stay current with cutting edge industry trends and best practices in GraphQL, supporting AI using Graph and MCP, streamline developer experience. Evaluate and recommend new tools / approaches to enhance our capabilities. * Problem Solving : Tackle complex technical challenges, providing hands-on expertise to resolve critical issues and keep development on track. * Quality & Standards : Help establish and enforce high standards for code quality, testing, and operational excellence within our GraphQL services and Agile workflows. Basic Qualifications: * Bachelor's Degree * At least 6 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master's Degree * 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, Angular or Go * 3+years of experience with GraphQL * 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in open source frameworks * 7+ years of people management experience * 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $225,400 - $257,200 for Sr. Mgr, Software Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, Software Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations, Python) Overview 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes) Overview 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (GenAI Platform Services, Python) Overview 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Distinguished Engineer - Velocity Black As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. The Distinguished Engineer (Director-level IC) will be part of Velocity Black by Capital One that harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining via a mobile application. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. As a candidate for this role, you're able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions . You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. You will: • Design, build and deliver meaningful consumer products powered by the latest technology with a focus bringing cohesiveness and development to features for for web and mobile, • Need to wear the 'Product hat' with deep empathy for the customer while helping to inform and develop the technology strategy, roadmap and vision for the platforms you own while delivering application capabilities, • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One and Velocity Black, • Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies, • Develop and leverage trusted relationships across Architecture, Design, and other Technology leaders to ensure strategic alignment across key Velocity Black and broader Digital Commerce and Innovation initiatives, • Lead the craftsmanship, availability, resilience, and scalability of our solutions Key responsibilities:, • Articulate and evangelize a bold technical vision for your domain, • Decompose complex problems into practical and operational solutions, • Ensure the quality of technical design and implementation, • Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability, • Continue learning and injecting advanced technical knowledge into our community, • Handle several projects simultaneously, balancing your time to maximize impact, • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Basic Qualifications: • Bachelor's Degree, • At least 7 years of software engineering or software development experience, • At least 5 years of experience with cloud native technologies (Amazon Web Services, Microsoft Azure, Google Cloud) Preferred Qualifications:, • Bachelor's or Masters' Degree in Computer Science or related field, • 10+ years of experience in software engineering or software development, • 7+ years of experience with public cloud providers (Amazon Web Services, Google Cloud Platform, Microsoft Azure), • 5+ years of experience in building large scale, customer facing systems, • 5+ years of experience in Agile practices, • 3+ years of experience in modernizing technology stacks, • 2+ years of experience in fintech or a startup Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Chicago, IL: $239,900 - $273,800 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Compliance Manager, Commercial and Counterparty Credit Capital One's Governance, Valuations, & Innovation (GV&I) Team is a second line of defense function housed within the Credit Risk & Analytics (CR&A) Division. CR&A is responsible for Risk Governance, Risk Appetite, Credit Risk Policy, and Assurance Exam Management activities for the Commercial Bank. The team's contribution is critical in providing a foundation for sound risk management practices, complying with internal policies and regulations, and exhibiting the overall culture of Capital One. Role Description GV&I is seeking a Manager-level Compliance Advisor with a regulatory / compliance background to perform a key risk management role advising Commercial Bank stakeholders on applicable Commercial Credit and Counterparty Credit policies and regulations. The individual will partner with innovative and passionate stakeholders across all lines of defense to enhance risk governance, controls, processes, and assurance practices, while implementing changes that are strategic and transformative for Capital One. GV&I is responsible for a broad set of risk management activities for the Commercial Bank and within Commercial Credit and Counterparty Credit risk governance. This opportunity provides for significant professional growth and exposure to senior management. Strong data and analytical skills, attention to detail, and the ability to adapt in a dynamic environment are essential to succeeding in this role. Specific responsibilities include, but are not limited to: • Serving as the Commercial Credit and Counterparty Credit Compliance Advisor representing the GV&I organization to the business areas, business risk offices, and other independent risk functions, • Providing guidance on Commercial Credit and Counterparty Credit policy, including policy adherence, • Performing research on regulatory interpretation and leading industry practices relating to commercial lending, including mapping to internal policies, • Advising on and maintaining subject matter expertise of regulatory requirements for which GV&I provides oversight (e.g., SR 13-3; SR 11-10), • Managing applicable risk, requirements, and controls which GV&I is responsible for, • Providing guidance on applicability of regulatory and policy requirements, including control environments, • Presenting thoughtful effective challenge during applicable risk assessments (e.g., Process Level Assessments), • Assessing the impact of new products and/or regulatory changes on business areas and policy, • Analyzing credit-related breakdowns for internal policy and/or external regulatory impact, including providing guidance on remediation / recovery plans, • Managing the credit policy lifecycle, including drafting policy updates and communicating changes to stakeholders, • Supporting ad-hoc initiatives for GV&I frameworks (e.g., Credit Exceptions, Credit Approvals), • Promoting GV&I's learning and culture by facilitating continuous learning activities and team interactions Desired Skills:, • Self-starter with a background in risk management or compliance, • Understanding of Commercial Banking activities and the three lines of defense framework, • Ability to organize, prioritize, and manage multiple projects and deliverables, • Solid analytical, research, and investigative skills (e.g., researching laws/regulations, internal policies and procedures, etc.), • Strong data and analytical competencies, • Effective verbal and written communication skills, including the ability to prepare refined presentation materials, • Aptitude for synthesizing complex issues into a clear and concise summary, • Keen attention to detail, • Proactive and results-oriented, • Independent problem-solver with ability to navigate ambiguity, • Ability to establish credibility, trust, and support within all levels of the organization, • Willing to learn, adapts easily to change, and comfortable challenging the status quo, • Knowledge and experience using Google Workspace (e.g., Sheets, Slides, Docs) Basic Qualifications:, • Bachelor's degree or military experience, • At least 5 years of experience in risk management or compliance at a financial institution, consulting firm, or regulatory agency Preferred Qualifications:, • Master's degree in Business Administration, Juris Doctor degree or other Master's degree, • 7+ years of experience in credit risk management or compliance at a financial institution, consulting firm, or regulatory agency, • Familiarity with Commercial Credit and Counterparty Credit policies and regulations At this time, Capital One will not sponsor a new applicant for employment authorization for this position. 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. McLean, VA: $146,100 - $166,700 for Risk Manager New York, NY: $159,400 - $181,900 for Risk Manager 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 DescriptionAbout Us We are a strategy and innovation consultancy that helps organizations thrive in the face of change. Thorny problems are our strong suit. We’re a team of consultants who are energized by big, messy problems. We are strategists, analysts, designers, and editors who bring agility and flexibility to projects focused on stemming chronic disease, closing the skills gap, rethinking the future of work, supporting digital transformations, using data to make smart cities safer, developing sustainable business models, and making moonshot investments. We help companies thrive in the face of change. Our clients are “innovation mavericks” — leaders inside global corporations, nonprofits, and federal agencies who are tasked with helping their organizations adapt to the technological, economic, political, and social norms of the 21st century. We’re the strategy and innovation consultants they call when there’s no playbook for the problem they’re trying to solve. Our open innovation practice was established in 2011. We are particularly focused on open innovation for impact, making use of incentive prize mechanisms to accelerate innovations such as artificial organs (Artificial Kidney Prize), early biothreat detection (DHS Hidden Signals Challenge), access to career and technical education (the Ed Prizes challenge series), and improving our understanding of Earth’s magnetism (NGA MagQuest). We have an equal appreciation for strategy and execution. We offer our clients the upfront thinking that goes into careful strategy development and can become partners in execution to ensure those strategies are implemented. We believe that career choices are not binary; you can have a challenging and rewarding career as part of a high-performing team and also live your life. Our clients appreciate that we bring the highest level of excellence to everything we do, and our team appreciates that we are extraordinarily efficient so that you aren’t expected to be online later. Please note: for employment at Luminary Labs, you must be fully vaccinated (including booster) for COVID-19 to ensure compliance with enhanced health and safety protocols. We are not actively hiring for this role at the moment; however, given the fast-paced nature of our work, our hiring needs can change quickly. We collect applications on a rolling basis, so if you’re interested in this or other roles at Luminary Labs, we encourage you to apply. If your background and skillset are a fit, we’ll reach out and provide more information on anticipated timing. The Role Luminary Labs seeks Associates to support strategy formation and program execution for our Fortune 500, nonprofit, and government clients. Please note that our team has embraced a hybrid model for our five-day work week, with two synchronous days in the office and three days wherever you work best. This role is based in New York City and will join our team in the office on Tuesdays and Wednesdays most weeks. About You You are known for quickly ramping up on any subject and for synthesizing large amounts of information to tell a story. You enjoy solving problems, large and small, and think both critically and expansively in doing so. Having worked in or for large organizations, you partner well, knowing the conditions for success to advance decisions. You have experience super-flexing across a range of activities, sometimes outside of your comfort zone. You are passionate about technology and the opportunities it presents to clients. You care about the impact your work has on the world and have been looking for a career path that is both high-performance and high-impact. People love to have you on their team. You love to be part of a team.Role and Responsibilities • Realize client objectives. Earn the respect and trust of our clients by delivering on their day-to-day needs. Support your team in all client management and deliverables, and help anticipate what’s needed next. Maintain client connectivity by supporting proactive and responsive communications required for each project., • Own work streams. Serve as the lead project manager, owning the work plan and executing critical work streams., • Support insight development. Conduct research and analysis to identify connective patterns in people, companies and industries, and develop and share insight and recommendations based on said patterns., • Interpret the data. Build financial models for products, services, and emerging businesses, and conduct quantitative analysis for measuring performance outcomes., • Tell the story. Help develop flawless presentations based on your research and analysis and contribute to the creation of materials for innovation exercises and ideation workshops., • Drive business growth. Support the development of new business proposals and pitches and deepen value with existing clients. Support company growth by participating in the ongoing recruitment of talent.Desired Skills and Experience, • 2-4 years of experience; client services experience a huge plus, • Demonstrated work and/or educational experience in synthesizing data, drawing meaningful insights, and providing actionable strategies, • Exceptional attention to detail - quick to catch internal inconsistencies in documents and strong ability to recall key insights and decisions that impact project thinking, • Stellar communication skills and a high EQ, with an ability to strike the right tone with clients in e-mails and verbal communications, • Passionate about technology, and the opportunities it presents to our clients, • Good technological literacy and ability to quickly learn and navigate the full functionality of tools like Word, Excel, Powerpoint, Dropbox, and Google Docs, • Quick learner who is eager to absorb feedback, • Enjoy solving complex problems using analytic and creative methods, • Ability to structure thinking in an easy to follow manorHave a strong record as a high performer in academic, volunteer, or work activities, with noted leadership accomplishments, • Strong numeracy; Excel skills a plus, • Entrepreneurial mindset, but experience working with corporate clients, • Are super-flexible, adaptable, realistic, practical, and agile, • Thrive in a fast-paced and dynamic environmentInvesting in our people is a high priority. Benefits include:, • Competitive compensation and formal bonus structure, • Health benefits package (80% of premium is covered for health, dental, and vision), • Competitive vacation package, • Paid family leave, • 401k plan with matching, • Pre-tax transit check, • Cell-phone reimbursement, • Fitness reimbursement, • Education stipend and growth opportunities, • Charitable donation matching The total compensation package for this role includes a base salary in the range of $75,000 to $90,000 plus a discretionary annual performance bonus. The starting salary for this role is at the lower bound of the salary range; an individual's starting salary will depend on the individual’s relevant knowledge, skills, and experience. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior AI Engineer (AI Foundations, LLM Core) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (FM Hosting, LLM Inference) Overview 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Lead AI Engineer (AI Foundations, LLM Core) Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 AI Engineer (AI Foundations, LLM Core, Agentic AI) 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 AI Engineer (LLM Core) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Lead AI Engineer (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead Data Engineer (Generative AI) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer (Generative AI), 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. The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Work with a cross-functional team of applied researchers, data scientists, software engineers, machine learning engineers and product managers to test and design AI- powered products that change how customers interact with their money. * Utilize a broad stack of technologies, including AWS Ultraclusters, Spark, Kubeflow, and more, to support the data pipelines fueling Capital One's customer behavior foundation models. * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor's Degree * At least 4 years of experience in application development (Internship experience does not apply) * At least 2 years of experience in big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * 7+ years of experience in application development including Python, SQL, Scala, or Java * 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) * 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) * 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale * 4+ years of experience with UNIX/Linux including basic commands and shell scripting * 2+ year experience working on real-time data and streaming applications * 2+ years of data warehousing experience (Redshift or Snowflake) * 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Boston, MA: $193,400 - $220,700 for Lead Data Engineer McLean, VA: $193,400 - $220,700 for Lead Data Engineer New York, NY: $211,000 - $240,800 for Lead Data Engineer San Francisco, CA: $211,000 - $240,800 for Lead Data Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 DescriptionSalary: 27.00 ABOUT US Rethink Food is a chef-led nonprofit partnering with restaurants to better feed communities. Through strong partnerships with local restaurants and community-based organizations, we work with a responsive, hyperlocal network that provides culturally celebrated, nutritious meals. Since 2017, we've served over 30 million meals and reinvested more than $142 million into local economies. Our work falls into three core areas: • Building the Network: We connect restaurants, community-based organizations, and food donors to deliver meals where theyre needed most., • Setting the Example: Through our Sustainable Community Kitchen, we demonstrate what dignified, community-centered food access can look like, • Advocating for Change: We champion policy and systems change to create a more sustainable, equitable food future for all. ROLE SUMMARY The Rethink Associate is a key player on our team, providing essential administrative support across multiple departments. We are looking for entry level superstars to push forward our mission for food equity in the US. This individual will be instrumental in organizing, prioritizing, and streamlining the day-to-day administrative work, contributing to the effectiveness of our departments: Partnerships, Marketing & Communications, Finance, Data, and Technology; and Programs. The Rethink Associate Program is a full-time, entry-level program that provides focused career development for junior employees eager to explore their potential and position themselves for career success. This one-year program provides meaningful work experiences that expose participants to various professional settings and job responsibilities. RESPONSIBILITIES This job description should not be interpreted as all-inclusive. It is intended to identify the major responsibilities and requirements of this position. The incumbent may be required to perform job-related responsibilities and tasks other than those stated in this job description. • Provide comprehensive administrative support to the Executive Office; Finance, Data and Technology; and Programs departments., • Assist with creating and maintaining documentation, including reports, presentations, and spreadsheets., • Manage correspondence, including drafting emails, memos, and letters for various departments when needed., • Perform data entry and database management tasks, ensuring accuracy and confidentiality of information., • Support the Finance department with invoice processing, expense tracking, and budget preparation., • Support the Programs department in conducting weekly audits at shelters and community sites based on our partnerships. This includes focusing on inventory, receiving, operations, and service management (tracking guests, meals, portions, and leftovers)., • Support the Programs Team in managing surveys for guest food satisfaction at shelters and community sites based on our partnerships., • Assist with coordinating events and operations logistics, including venue arrangements, attendee communication, and material preparation., • Participate in special projects and initiatives as assigned by different departments, providing flexible support to meet evolving organizational needs., • Act as a liaison between departments to facilitate communication and streamline administrative processes., • Other duties as assigned. QUALIFICATIONS: • A bachelor's degree in business administration, public policy, non-profit management, or a related field is preferred., • Minimum 2+ years of experience in an administrative role, preferably supporting multiple people and departments., • Knowledge of basic research skills., • Ability to plan, organize, and prioritize work to ensure compliance with established deadlines., • Ability to maintain an efficient and organized filing system to ensure that items can be retrieved promptly., • Ability to follow instructions and work independently with limited supervision., • Ability to determine the most effective and efficient method to accomplish work objectives and goals., • Ability to obtain and maintain a professional working relationship with outside vendors and other contacts., • Ability to work well under the pressure of deadlines., • Proficiency in Google Workspace and/or Microsoft Office Suite (Word, Excel, PowerPoint) and experience with database management., • Experience with CRM/donor management systems (Hubspot preferred)., • Ability to maintain the confidentiality of the work., • Ability to work independently and as part of a team., • Flexibility to adapt to changing priorities and tasks as needed., • Ready and willing to learn as the organization evolves., • A desire for a professional career in non-profits., • Positive attitude, self-confidence, common sense, and excellent listening skills. No job too small mentality!, • Must embrace the mission and core values of Rethink Food. WHAT YOU BRING TO THE TABLE: Commitment to embodying our values of - Inventiveness: At our core, we are relentlessly curious about solving problems. As our name suggests, were a team of creative thinkers, but were also hands-on doers, challenging norms with humility to find practical solutions that can create lasting change. Vulnerability: Guided by an always be better mindset, we are a team that intentionally reflects on what we are doing well and where we need to improve. We hold ourselves and each other accountable, every day. No blame, no shame we just want to be sure were always doing the right thing. Thoughtfulness: Our vision for a nourished and thriving world starts with nourished and thriving individuals in each of our communities. Our work is centered on the needs of the people that bring our communities to life. We dont pretend to have all of the answers. We are committed to listening and learning in order to identify and scale solutions that ensure stable and reliable access to healthy food for all so each and every community can thrive. Kindness: At Rethink, we show up every day with empathy and compassion and believe everyone should be treated with dignity. Kindness goes a long way we are all about just being kind.

Distinguished AI Engineer (Agentic AI Platform Infrastructure) 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen), • 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations, LLM Core, Agentic AI) Overview 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations, LLM Core) Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Manager, Business & Technology Process Management - Enterprise Services Risk The Enterprise Services Risk organization is expanding with a focus on attracting innovative, pioneering, collaborative, and highly skilled professionals. We operate at the forefront of risk management, providing support for novel and developing technologies, as well as critical business strategies. Diverse perspectives and experiences are valued as we work to redefine the financial sector. As a Manager on the Process Risk Optimization (PRO) Team, you will be responsible for working with business partners to proactively identify and lead risk mitigation solutions for Capital One. We are the first line of defense to help ensure our Company remains well-managed and strengthens its risk posture. Our team delivers strategic, value-added, and risk-based analysis to drive executive leadership decision-making. In this position, you will play a key role in supporting process-based assessments to identify and evaluate risks across various Enterprise Services functional areas, such as enterprise product management, cyber, network connectivity, development, cloud operations, data management, resiliency, and third party functions. You will learn about Capital One's internal operations as you develop subject matter expertise while collaborating with business partners to identify, assess, measure, monitor, control, and report process-level risks. As a Manager, you will lead stakeholder interactions, facilitating assessments and completing deliverables in a fast-paced environment, working across multiple teams to drive successful project outcomes. In this role, you will: • Perform the role of a process management risk advisor and leverage subject matter knowledge and critical thinking to drive value during assessments to ultimately improve our processes and reduce risk for Enterprise Services lines of business, • Analyze various business and risk data and information to proactively identify risks, trends, and process improvements, • Lead stakeholders in applying risk management principles in accordance with Enterprise frameworks, • Research new and emerging areas of risk and the dynamic regulatory environment to apply understanding to assessments, • Lead and support project and program delivery, execute deliverables in fast paced environment, and work across multiple workstreams, • Prioritize simultaneous projects and assessments, manage timelines independently, keep key stakeholders informed, and recognize when to escalate appropriately, • Participate in risk and other management forums and contribute to continuous improvement of risk and project / program management practices, • Deliver assessment outcomes to senior leadership with strong communication skills and ability to influence stakeholders, • Lead initiatives to drive efficiency and process improvements within and across teams Basic Qualifications:, • High School Diploma, GED or equivalent certification, • At least 4 years of experience in process management or risk management, • At least 4 years of experience supporting, partnering, and interacting with internal and external business clients Preferred Qualifications, • Bachelor's Degree or military experience, • 5+ years of experience in process management or risk management, specifically in performing process-based risk assessments, • 5+ years of project management experience leading cross functional projects and programs, • 5+ years of experience with analysis of information security or technology threats and risks, • 5+ years of experience supporting, partnering, and interacting with internal stakeholders, • 2+ years of Financial Services industry experience, including familiarity with regulatory practices; governance, risk, and compliance; information and network security, AWS cloud; machine learning and artificial intelligence; data management; third party and contingent workforce; incident response, • Process development, documentation, and improvement experience, • Experience in controls development, controls management, and reporting activities, • Certifications in security, technology, risk, project management, or audit certifications (e.g., CompTIA Security+, CompTIA Tech+, CompTIA Network+, CompTIA A+, CompTIA Project+, Systems Security Certified Practitioner (SSCP), Certified Associate in Project Management (CAPM), ISACA Certified in Risk and Information Systems Control (CRISC), ISACA IT Audit Fundamentals Certificate, technology vendor certifications (e.g., AWS, Microsoft, Google), • Ability to communicate and influence clearly and to interact effectively at all levels of the organization, • Ability to navigate a complex, dynamic organization and prioritize deliverables in an multi-national, expanding business environment, • Excellent problem-solving, analytical and critical thinking skills to effectively respond to shifting priorities, demands and timelines, • Strong communication and relationship building skills, customer focus, and ability to collaborate and influence across teams to deliver, • Ability to set direction, delegate tasks, manage multiple stakeholder expectations, and coordinate a cross-functional team At this time, Capital One will not sponsor a new applicant for employment authorization for this position. 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. McLean, VA: $158,400 - $180,800 for Manager, Cyber Risk & Analysis New York, NY: $172,800 - $197,200 for Manager, Cyber Risk & Analysis Richmond, VA: $144,000 - $164,400 for Manager, Cyber Risk & Analysis 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 About Grace Grace Church School is a JK–12, independent school located on two nearby campuses in downtown New York City. An Episcopal school, welcoming children of all faiths and of none, Grace believes in the inherent, precious dignity of every individual and seeks to provide an outstanding education worthy of our common humanity. Successful candidates will demonstrate a commitment to the Episcopal values of dignity and belonging. Grace is a school of big ideas, and our structured curriculum promotes academic excellence through a pedagogy of joy: an approach that reflects our belief that joy is the fuel of academic achievement, and that students learn best when motivated by delight, wonder, curiosity, and purpose. We work hard to nurture a culture of dignity and belonging, and we seek to foster in each student skills of intellectual excellence and habits of ethical virtue. Grounded in tradition, the school remains ever open to innovation, looking to the best research on the science of learning and the craft of teaching to advance the timeless values and aspirations of our mission. About the Position The Advancement Associate will play a vital role in supporting the work of Grace Church School’s Advancement Office. This position is responsible for managing and executing all processes related to gift data entry and acknowledgement. The Associate will also contribute to Advancement events—including the School’s annual Auction Benefit—while assisting with the annual fund, alumni relations, donor research, and general office operations. In addition, the Associate will provide logistical and administrative support to the Director of Advancement. ResponsibilitiesStewardship and Data Management • Accurately and efficiently process all gifts, pledges, and related donor information., • Manage the gift acknowledgement process, including generating and mailing timely and personalized acknowledgement letters., • Assist with acknowledgements for major and leadership donors., • Provide data support for the annual fund, Giving Day, and other campaigns., • Generate simple data reports as requested., • Support volunteer management for the annual fund, Advancement Committee, and Alumni Board.Event Support, • Assist with planning and execution of Advancement special events, including the School’s Auction Benefit, Reunion, VIP Day, and alumni programs., • Manage event logistics such as RSVPs, name tags, vendor coordination, and volunteer support., • Provide logistical and scheduling support to the Director of Advancement, including correspondence with donors and coordination of meetings., • Occasionally assist with email review and screening.General The ideal candidate will demonstrate: • A demonstrated record of managing details and staying organized amid a complex workflow, • Skill providing support to a range of community stakeholders across a variety of tasks Experience with Raiser’s Edge is a plus, • Alignment with Grace Church School’s mission, vision and values, • Bachelor’s degree required., • 1–3 years of professional experience in advancement, development, alumni relations, event planning, or a related administrative role., • Proficiency with the Google Suite (Docs, Sheets, Slides) and Microsoft Office Suite (Word, Excel, Outlook); familiarity with donor database systems such as Raiser’s Edge preferred., • Strong attention to detail with the ability to manage multiple priorities in a complex workflow., • Clear writing and professional correspondence; ability to interact with donors, volunteers, and colleagues with tact, warmth, and discretion., • Flexibility, collaborative spirit, and commitment to advancing Grace Church School’s mission, vision, and values., • Willingness to work occasional evenings or weekends for Advancement events. Grace Church School is an Equal Opportunity Employer. We believe that equity and inclusion are not only hallmarks of a just society, but also virtues essential to sound learning. Our commitment to antiracism, equity, and belonging calls on all faculty members to promote a culture of dignity and belonging for everyone at Grace by recognizing and honoring the unique gifts of its students, families, faculty, and staff. We encourage applications from candidates with broad and diverse backgrounds and from individuals of all races, nationalities, identities, and religious and non-religious traditions, and beliefs. To apply, submit a cover letter and resume through our school website. Powered by JazzHR lQ8mYOBXXx

Senior AI Engineer (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: • Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers., • Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI., • Fine-tune, develop and evaluate machine learning and foundation models,, • Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities, • Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One., • Leverage a broad stack of Open Source and SaaS AI technologies., • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues., • Retrain, maintain, and monitor models in production., • Construct optimized data pipelines to feed ML models., • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. The Ideal Candidate:, • 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., • You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown., • Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: • Bachelor's degree, • At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply), • At least 4 years of experience programming with Python, Go, Scala, or Java, • At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications:, • 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, • 6 years of experience designing, developing, delivering, and supporting AI services at scale, • 3 years of experience developing AI and ML algorithms or technologies using Python, • 2 years of experience with Retrieval Augmented Generation (RAG), • Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure, • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) 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. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details

Senior Lead AI Engineer Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Lead AI Engineer (LLM Customization and Finetuning) Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Lead AI Engineer (Gen AI Platform Services) Overview: 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. Team Description: 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. In this role, you will: • 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., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more., • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate:, • 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., • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production., • 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., • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss., • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications:, • 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, • At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications:, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, integrating, delivering, and supporting complex AI systems, • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days.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 ; 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. 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 ABOUT US Our Company: We are a rare company that is profitable, growing over 100% annually, under 30 people and making a positive social impact. Our mission has attracted some of the smartest and most accomplished people in technology and medicine. You will be working with leaders who have advised fortune 500 CEOs , built and sold companies to Google, and designed medical school curriculums. Our Story: We are a physician and engineer from Yale and MIT, respectively. We founded theMednet after our father, also a physician, was diagnosed with cancer and we realized how difficult it was to know what to do when the answers are not found in textbooks, guidelines, or papers, but rather trapped in the heads of experts. We created theMednet to document expert knowledge and give physicians everywhere access to that knowledge. Our Mission: Help physicians access expert knowledge to improve patient outcomes. theMednet is the first ever platform that delivers large-scale peer-to-peer education to community physicians with actionable insights back to pharma in one single offering. TheMednet was started in 2014 and includes over 40,000 physicians in oncology, rheumatology, neurology, dermatology, and pulmonology, cardiology and nephrology with more coming soon. TheMednet was featured in Inc. Magazine as one of the companies changing the future of medicine. Our Culture: Our culture is shaped by our mission and values. Our values are: 1) Doctors First, 2) Have a Can-Do Attitude, 3) Take Ownership, and 4) Treat Each Other Right. Our first value is our most important- any decision we make must start by asking whether we are helping physicians make better decisions for their patients. Our Partnerships: We partner with organizations similarly committed to research, education, and high-quality care including the National Cancer Institute (NCI), the American Society for Clinical Oncology (ASCO), the American College of Rheumatology (ACR), and the American Neurological Association (ANA). Additionally, we’ve collaborated with Fortune 500 Pharmaceutical companies including, but not limited to, Amgen, AstraZeneca, BMS, Eli Lilly, Johnson & Johnson and Roche. JOB DESCRIPTION We’re looking for a Medical Education Partnerships Lead to help establish and grow our medical education function. This is a unique opportunity to join an innovative company and shape a new capability within our organization—partnering with pharmaceutical and biotech companies to develop both accredited and non-accredited Continuing Medical Education (CME) programs that drive meaningful clinical change. As an early member of this vertical, you’ll play a central role in defining our strategy, identifying high-impact educational opportunities, and securing funding for new medical education projects. You’ll also collaborate closely with cross-functional teams to ensure programs are executed with excellence and aligned with our clients’ goals. Your core responsibilities include: * Develop and maintain partnerships with pharmaceutical and biotech companies to uncover opportunities for innovative, non-promotional CME/IME programs that advance clinical education and support strategic objectives. * Lead the end-to-end development and submission of grant proposals, working closely with internal stakeholders and external partners to ensure compelling, compliant, and fundable submissions. * Collaborate with internal teams—including strategy, medical experts, content development, and client success—to support accurate, timely delivery of education programs. * Develop deliverables that track program performance, demonstrate ROI to funders, and inform future educational direction. Requirements: * 5+ years of experience in the life sciences, medical education, or healthcare strategy, with a track record of managing or selling into pharmaceutical/biotech clients. * Deep understanding of CME/CE landscape and compliance frameworks (e.g., ACCME, PhRMA, OIG). * Demonstrated quantitative and analytical skills * Detail-oriented with strong organizational skills. * Strong cross-functional project management and client relationship skills. * Proficiency in PowerPoint * Excellent communication (written and verbal) * Bachelor's degree required Compensation Range: $125K - $175K

Job DescriptionAbout Us Located in New York, NY, we’re a fast-growing company passionate about helping our clients through innovative solutions. Our team is collaborative, driven, and excited to mentor the next generation of sales and marketing talent. What You’ll Do As a Sales Marketing Intern, you’ll work closely with our Go-To-Market team to support campaigns, outreach, and lead generation efforts. This is a hands-on role that offers exposure to real-world sales and marketing strategies. Key Responsibilities: * Assist in executing outbound sales campaigns and email marketing efforts * Conduct market research and competitive analysis * Help build and manage lead lists using tools like LinkedIn and CRM platforms * Support content creation for social media, blogs, and newsletters * Track and analyze campaign performance metrics * Attend team meetings and contribute ideas for customer engagement What We’re Looking For * Interest in sales, marketing, communications, or business development * Strong written and verbal communication skills * Comfortable working in a fast-paced, team-oriented environment * Self-starter with strong attention to detail * Experience with Google Workspace, Canva, or CRM tools is a plus What You’ll Gain * Hands-on experience in sales outreach, marketing strategy, and CRM tools * Mentorship from experienced GTM professionals * Exposure to startup or high-growth business operations * Resume-building experience and potential for future opportunities & &

Job Description Start Date: This position is for candidates available to start full-time in Q4 (October–December), with relocation needs considered. • If you are seeking a later date, please apply to appropriate job postings below:, • Digital Media Buyer Q1 (Starting January 12th), • Digital Media Buyer Q2 (Starting April 20th), • Digital Media Buyer Q3 (Starting June 8th) Are you interested in launching or growing your career in digital marketing? The WITHIN team is expanding, and we're looking for a Digital Media Buyer to support our efforts across multiple marketing channels. This role offers an opportunity to gain hands-on experience and develop expertise in key areas of digital marketing, including Paid Social, Paid Search, Programmatic, Email Marketing, Affiliate Marketing, Search Engine Optimization (SEO), Influencer Marketing, and Retail Media. As part of a fast-growing company, you'll collaborate with internal teams and clients to drive performance-driven marketing strategies. This role is perfect for individuals who are analytical, creative, and eager to learn in a dynamic, deadline-driven environment. What You'll Learn: This role will expose you to various marketing channels, helping you develop a strong foundation in performance marketing. Depending on the projects you work on, you may gain experience in: • Paid Social: Learn how to create and manage paid social campaigns on platforms like Facebook, Instagram, TikTok, and LinkedIn, focusing on targeting, budgeting, and performance analysis to drive engagement and conversions., • Paid Search: Understand how to create and optimize paid search campaigns on platforms like Google Ads and Bing, including keyword research, ad copywriting, and bidding strategies to maximize return on investment (ROI)., • Programmatic: Gain insight into programmatic advertising, including working with demand-side platforms (DSPs) to buy display, video, and native ads at scale, optimizing for reach, engagement, and conversions., • Email Marketing: Learn how to craft compelling email campaigns, segment audiences, and optimize performance through testing and automation., • Affiliate Marketing: Understand how brands collaborate with partners to drive traffic and conversions through commission-based strategies., • Search Engine Optimization (SEO): Gain insights into optimizing website content and structure to improve search engine rankings and organic visibility., • Influencer Marketing: Explore how brands collaborate with influencers to build awareness, drive engagement, and generate conversions., • Retail Media: Discover how brands advertise on e-commerce platforms (e.g., Amazon, Walmart, TikTok Shop, etc.) to increase product visibility and sales. Some duties will include and are definitely not limited to: • Work with a diverse portfolio of clients to support their marketing efforts., • Communicate with clients via email and meetings, ensuring alignment on strategy and performance goals., • Collaborate with multiple internal teams to design and execute marketing strategies., • Produce meaningful marketing KPI dashboards and deliver performance reports with actionable insights., • Analyze cross-channel performance data to identify opportunities for optimization and improvement., • Support A/B testing, consumer research, and data-driven decision-making to enhance campaign performance., • Assist in implementing best practices and proprietary technology to optimize marketing strategies., • Provide creative and copy recommendations based on historical performance data. Qualifications and Experience: • Bachelor's degree or equivalent experience., • Strong analytical and problem-solving skills., • Interest in pursuing a career in performance-driven digital marketing., • Ability to work in a fast-paced, deadline-oriented environment., • Basic knowledge of Microsoft Excel (e.g., conditional statements, pivot tables, VLOOKUPs)., • Cognitive Aptitude and Typing Test This role begins with a 2-month program designed to provide hands-on training and professional working experience, as well as serve as the standard employment probationary period. Upon successful completion of this program, you will be staffed on a team to begin working immediately! Note: employment types may vary by country due to local labor laws, HR will clarify before employees start. We offer a competitive salary and benefits based on ability level, including: • Base salary - $65,000, • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Bonus Perk - Seamless allowance, • This is an entry level position. Training and development will be provided. About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • New York City: 43-01 22nd St, Suite 602, Queens, New York, 11101, • Bogotá: WeWork Av. Cra 19 #100-45, 10th Floor, Bogotá, Colombia, • Mexico City: Av Paseo de la Reforma 296, Floor 25, Office 111, Mexico City, Mexico