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Sign on Bonus up to $30,000 based on location Telephonic After-Hours Call - Evenings, Nights & Rotating Weekends Required Part-Time (20 Hours) For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. Join us to start Caring. Connecting. Growing together. The Telehealth Urgent Care program is a comprehensive integrated care delivery program. The National On Call advanced practice clinician (APC) is responsible for providing telephonic/telehealth care and direction to patients, caregivers and facility staff providing 24/7 coverage including holidays. In this remote role you will provide virtual care for patients in various settings. This excellent opportunity affords a collaborative role bringing enormous satisfaction in the care and comfort of our patients. In this role you will have the ability to achieve work life balance. Optum is transforming care delivery with innovative and personal care. As one of the largest employers of APCs, Optum offers unparalleled career development opportunities. Scheduling: This is a part time, work from home position requiring various shift coverage with a mix of weekday, weeknights, weekend, and holiday coverage. While shift times can vary, we provide coverage to members 24/7 including all company recognized holidays. • Flexibility and the ability to adapt are a must as you will cross cover multiple markets and teams Availability and Coverage expectations for this role • 24/7 coverage, • Position requires a minimum commitment of 20 hours per week, • Weeknight shifts between 5pm and 8am are the majority of the hours required during the week, • Every other weekend coverage between 8-12 hour shifts covering both day and night shifts is required based on business needs, • Expectations that you are working or have approved PTO for 26 weekends/year. Each FT/PT employee is eligible to have off up to 6 weekend shifts a year for PTO, • Unapproved time away/Unpaid Time Off will result in need to add additional weekend shift to your schedule based on business needs, • Holidays are required for all APCs and on a rotation basis, • Holiday scheduling is completed at the beginning of the year for advanced planning You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: • Available on provided telephonic platform, both taking and placing calls to coordinate and manage care for members between care givers, facilities, hospitals, primary care providers and the Optum field colleagues, • Available to use video platform based on clinical need, • Working hours should be performed in a secure location as patient privacy is required, • Utilize EMR proficiently to provide acute care to members during all shifts and holiday hours, • Care Delivery, • Deliver cost-effective, quality care to members, • Manage both medical and behavioral, chronic, and acute conditions effectively, and in collaboration with a physician or specialty provider, • Perform comprehensive assessments and document findings in a concise/comprehensive manner that is compliant with documentation requirements and Center for Medicare and Medicaid Services (CMS) regulations, • Responsible for ensuring encounter is documented appropriately to support the diagnosis at that visit, • The APC is responsible for ensuring that all quality elements are addressed and documented, • Utilizes evidenced based practice guidelines, • Must attend and complete all mandatory educational and MyLearning training requirements, • Care Coordination, • Coordinate care as members transition through different levels of care and care settings, • Monitor the needs of members and families while facilitating any adjustments to the plan of care as situations and conditions change, • Review orders and interventions for appropriateness and response to treatment to identify the most effective plan of care that aligns with the patients' needs and wishes, • Address and be able to have advanced care plan conversations with members and families, • Evaluate the plan of care for cost effectiveness while meeting the needs of members, families, and providers to decrease high costs, poor outcomes and unnecessary hospitalizations, • Program Enhancement Expected Behaviors, • This is a virtual patient facing role that requires excellent customer service to all parties including members/families, facilities, the entire interdisciplinary care team (PCPs/specialists) and Optum staff, • Regular and effective communication with internal and external parties including physicians, patients, key decision-makers, nursing facilities, field staff and other provider groups, • Ability to meet shift scheduling requirements, and attendance expectations, • Exhibit original thinking and creativity in the development of new and improved methods and approaches to concerns/issues, • Function independently and responsibly with minimal need for supervision, • Demonstrate initiative in achieving individual, team, and organizational goals and objectives, • Participate in quality initiatives, • Availability to check Optum email intermittently for required trainings, communications, and monthly scheduling. You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 3+ years of clinical experience as an APC Active and unrestricted license as a Nurse Practitioner in the State of New York, and ability to start the process of obtaining additional licensure prior to start date • Ability to gain a collaborative practice agreement, if applicable in your state, • APCs working in jurisdictions that authorize APCs to practice autonomously or without formal supervision must have obtained approval to practice autonomously or without formal supervision from their licensing board, if applicable. New hires who are eligible and have not applied prior to hire date, must apply to practice autonomously or without supervision within 1 month of hire. If not eligible to practice autonomously or without formal supervision at hire, the APC must begin working towards meeting the requirement within 1 month of hire, if applicable, and apply for approval to practice autonomously or without formal supervision within 3 months of becoming eligible, • Education:, • Graduate of an accredited Master of Science Nursing or Doctor of Nursing Practice program, • Active Nurse Practitioner certification through a national board:, • Board certified through the American Academy of Nurse Practitioners or the American Nurses Credentialing Center, with certification in one of the following:, • Family Nurse Practitioner, • Adult Nurse Practitioner, • Gerontology Nurse Practitioner, • Adult-Gerontology Acute Care Nurse Practitioner, • Current, active DEA licensure/prescriptive authority or ability to obtain post-hire, per state regulations (unless prohibited in state of practice), • Ability to work scheduled shifts in accordance with scheduling policies Proficient computer skills including the ability to document medical information with written and electronic medical records Preferred Qualifications: • Active and unrestricted license as a Nurse Practitioner in the state of Massachusetts, • Experience in meeting the medical needs of patients with complex behavioral, social and/or functional needs, • Experience working in a nursing home, or with seniors in an acute care facility, • Understanding of Geriatrics, Chronic Illness, and acute disease management, • Understanding of Advanced Illness and end of life discussions, • Proven ability to develop and maintain positive customer relationships, • Proven adaptability to change *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Compensation for this specialty generally ranges from $125,000 - $175,000. Total cash compensation includes base pay and bonus and is based on several factors including but not limited to local labor markets, education, work experience and may increase over time based on productivity and performance in the role. We comply with all minimum wage laws as applicable. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Route Service Manager UniFirst seeking a Route Service Manager to join our team! The Route Service Manager will recruit and lead a team of Route Service Supervisors and Route Service Representatives who deliver to multiple customers per day - ranging from small family owned businesses to major corporate locations. The ideal candidate will drive customer satisfaction, account growth, and profitability for their location. What’s in it for you? Training: Our Team Partners get quality skills training designed to enhance their performance and assist them with their career potential and advancement. Career Mobility: You may quickly find yourself on the fast-track to success. We are a rapidly growing company offering significant avenues for personal development and growth. The Route Service Manager role can lead to many other leadership opportunities in our Plants and across the organization. Culture: Our family culture is what makes UniFirst an organization that stands out from the rest. Did we mention no nights or weekends? Diversity: At UniFirst, you'll find an environment packed with different cultures, personalities, and backgrounds because we believe it takes many kinds of people to make us successful. What you’ll be doing: • Oversee the recruiting, training, and development of a team of Route Service Representatives and Route Service Supervisors, • Build strong relationships with your customers and elevate your team’s level of achievement in customer satisfaction, • Collaborate closely with location management team to provide the best customer service and product programs, • Negotiate customer contract renewals Qualifications What we’re looking for: • An individual who is business savvy and enjoys figuring out innovative ways to help increase profit and grow the customer satisfaction within their UniFirst Location, • A results-driven, relationship manager who isn’t afraid to roll up their sleeves and help the team and most importantly, the customer, • Someone who will enjoy working with your own team of Route Service Representatives and Route Service Supervisors that need your help and support as they develop in their own role, • Individuals who drive their personal vehicles for business purposes will be required to comply with minimum auto insurance requirements per UniFirst's standards., • High School Diploma or GED – bachelor’s degree preferred., • Prior customer service experience, • Ability problem solve and handle a variety customer service situations, • Ability to negotiate, train, coach and lead a team, • Strong computer proficiency (MS Office), • Excellent verbal & written communication skills, • 21 years of age, • Valid non-commercial driver’s license in the state of residence, • Must meet pre-employment DOT physical requirements, • Physically capable of lifting up to 50 pounds Benefits & Perks 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Direct Payroll Deposit, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses The estimated base salary for this position ranges from $68,120.78 to $94,612.19 yearly, with additional management bonus eligibility. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst The fabric of UniFirst is woven from its very unique family culture where our Team Partners enjoy a small company feel while taking advantage of the resources and stability that come with being a 1.5-billion-dollar organization. UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 13,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. As an 80-year old company focused on annual growth, there’s never been a better time to join our team. There’s a lot to love about UniFirst, where you come first. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

At UniFirst, we Always Deliver—for our customers and our people. Join us as a Route Coverage Specialist, a key service professional integral to the success of our operations. In this role, you’ll provide exceptional service by stepping in to cover delivery routes when our Route Service Representatives (RSRs) are unavailable. With training on multiple routes, you’ll ensure our valued customers experience seamless service every time. This dynamic, fast-paced opportunity is perfect for someone proactive, agile, and who enjoys variety. What Your Role Entails: • Develop Proficiency Across Multiple Routes: Learn the ins and outs of multiple routes, including customer-specific details, to provide top-tier service., • Deliver Garments and Product to Customers: Safely load, transport, and unload clean garments, flat goods, and other products to customers along established routes. Collect and secure used or soiled garments and products for return, ensuring timely and accurate service to meet customer standards, • Provide Excellent Customer Service: Step in and deliver high-quality service, supporting strong customer relationships through positive interactions and clear communication., • Problem Solving: Resolve customer requests independently, using problem-solving skills to ensure satisfaction and maintain customer loyalty., • Operational Excellence: Accurately manage invoices, conduct inventory audits, and maintain the safety and appearance of your vehicle., • Safety: Follow all traffic laws, safety standards, and company policies to ensure the safety and well-being of yourself, your customers, and the company., • Route Support: Collaborate with the Service and Management Teams to support new account installations, assist RSRs on routes, contribute to rerouting efforts, and collections. You will also have the opportunity to upsell and strengthen customer relationships., • Effective Communication: Share customer feedback and potential solutions with location leadership. Stay informed about competitor activity in the local market. Core Competencies: • Time Management & Adaptability: Ability to adapt to changing routes, conditions, and customer needs., • Customer-Centric Mindset: UniFirst is a service-driven company, and as a Route Specialist, you’ll play a crucial role in ensuring customer satisfaction., • Collaboration & Team Support: While autonomy is key, collaboration within the Service, Production, Sales and Office Department is essential to ensure success. Why You’ll Enjoy This Role: • Variety: Every day brings new routes and new experiences, ensuring no two days are alike., • Agility: Perfect for those who thrive in a fast-paced environment and enjoy navigating different routes, weather conditions, and schedules., • Autonomy: Work independently while being part of a supportive team that values service excellence and adaptability. Qualifications What You Bring to UniFirst: • Driver’s License & Safe Driving Record: Must be at least 21 years old with a valid driver’s license, a clean driving record, and reliable transportation., • DOT Compliance: Meet all Department of Transportation (DOT) requirements, including a physical exam., • Educational Requirements: High school diploma, GED, or military service required., • Strong Customer Service Skills: Ability to work independently while maintaining a team-oriented mindset and providing excellent customer service., • Relevant Experience: Prior experience in customer service, route sales, or delivery, roles is a plus!, • Tech-Savvy: Comfortable using and learning new technologies to enhance operational efficiency., • Physical Stamina: Capable of lifting, carrying, and pushing up to 50 lbs., with the ability to remain on your feet for extended periods. You Will Benefit From: • Competitive Compensation: Competitive salary, 401(k) with company match, profit sharing, health and life insurance, paid time off, employee discounts, tuition reimbursement, and more., • Work-Life Balance: Monday–Friday day shift schedule., • Career Development: Continuous training and growth opportunities., • Inclusive Culture: A diverse and inclusive work environment that values a variety of backgrounds and perspectives. Join UniFirst for a Rewarding Career At UniFirst, you'll find opportunities for advancement in a supportive and diverse environment. If you're ready to take on a dynamic, customer-focused role with plenty of room for growth, we’d love to hear from you! The estimated salary for this position ranges from $61,927.98 to $86,011.08 yearly. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 16,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

At UniFirst, we Always Deliver—for our customers and our people. Join us as a Route Coverage Specialist, a key service professional integral to the success of our operations. In this role, you’ll provide exceptional service by stepping in to cover delivery routes when our Route Service Representatives (RSRs) are unavailable. With training on multiple routes, you’ll ensure our valued customers experience seamless service every time. This dynamic, fast-paced opportunity is perfect for someone proactive, agile, and who enjoys variety. What Your Role Entails: • Develop Proficiency Across Multiple Routes: Learn the ins and outs of multiple routes, including customer-specific details, to provide top-tier service., • Deliver Garments and Product to Customers: Safely load, transport, and unload clean garments, flat goods, and other products to customers along established routes. Collect and secure used or soiled garments and products for return, ensuring timely and accurate service to meet customer standards, • Provide Excellent Customer Service: Step in and deliver high-quality service, supporting strong customer relationships through positive interactions and clear communication., • Problem Solving: Resolve customer requests independently, using problem-solving skills to ensure satisfaction and maintain customer loyalty., • Operational Excellence: Accurately manage invoices, conduct inventory audits, and maintain the safety and appearance of your vehicle., • Safety: Follow all traffic laws, safety standards, and company policies to ensure the safety and well-being of yourself, your customers, and the company., • Route Support: Collaborate with the Service and Management Teams to support new account installations, assist RSRs on routes, contribute to rerouting efforts, and collections. You will also have the opportunity to upsell and strengthen customer relationships., • Effective Communication: Share customer feedback and potential solutions with location leadership. Stay informed about competitor activity in the local market. Core Competencies: • Time Management & Adaptability: Ability to adapt to changing routes, conditions, and customer needs., • Customer-Centric Mindset: UniFirst is a service-driven company, and as a Route Specialist, you’ll play a crucial role in ensuring customer satisfaction., • Collaboration & Team Support: While autonomy is key, collaboration within the Service, Production, Sales and Office Department is essential to ensure success. Why You’ll Enjoy This Role: • Variety: Every day brings new routes and new experiences, ensuring no two days are alike., • Agility: Perfect for those who thrive in a fast-paced environment and enjoy navigating different routes, weather conditions, and schedules., • Autonomy: Work independently while being part of a supportive team that values service excellence and adaptability. Qualifications What You Bring to UniFirst: • Driver’s License & Safe Driving Record: Must be at least 21 years old with a valid driver’s license, a clean driving record, and reliable transportation., • DOT Compliance: Meet all Department of Transportation (DOT) requirements, including a physical exam., • Educational Requirements: High school diploma, GED, or military service required., • Strong Customer Service Skills: Ability to work independently while maintaining a team-oriented mindset and providing excellent customer service., • Relevant Experience: Prior experience in customer service, route sales, or delivery, roles is a plus!, • Tech-Savvy: Comfortable using and learning new technologies to enhance operational efficiency., • Physical Stamina: Capable of lifting, carrying, and pushing up to 50 lbs., with the ability to remain on your feet for extended periods. You Will Benefit From: • Competitive Compensation: Competitive salary, 401(k) with company match, profit sharing, health and life insurance, paid time off, employee discounts, tuition reimbursement, and more., • Work-Life Balance: Monday–Friday day shift schedule., • Career Development: Continuous training and growth opportunities., • Inclusive Culture: A diverse and inclusive work environment that values a variety of backgrounds and perspectives. Join UniFirst for a Rewarding Career At UniFirst, you'll find opportunities for advancement in a supportive and diverse environment. If you're ready to take on a dynamic, customer-focused role with plenty of room for growth, we’d love to hear from you! The estimated salary for this position ranges from $61,927.98 to $86,011.08 yearly. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 16,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

At UniFirst, we Always Deliver—for our customers and our people. Join us as a Route Coverage Specialist, a key service professional integral to the success of our operations. In this role, you’ll provide exceptional service by stepping in to cover delivery routes when our Route Service Representatives (RSRs) are unavailable. With training on multiple routes, you’ll ensure our valued customers experience seamless service every time. This dynamic, fast-paced opportunity is perfect for someone proactive, agile, and who enjoys variety. What Your Role Entails: • Develop Proficiency Across Multiple Routes: Learn the ins and outs of multiple routes, including customer-specific details, to provide top-tier service., • Deliver Garments and Product to Customers: Safely load, transport, and unload clean garments, flat goods, and other products to customers along established routes. Collect and secure used or soiled garments and products for return, ensuring timely and accurate service to meet customer standards, • Provide Excellent Customer Service: Step in and deliver high-quality service, supporting strong customer relationships through positive interactions and clear communication., • Problem Solving: Resolve customer requests independently, using problem-solving skills to ensure satisfaction and maintain customer loyalty., • Operational Excellence: Accurately manage invoices, conduct inventory audits, and maintain the safety and appearance of your vehicle., • Safety: Follow all traffic laws, safety standards, and company policies to ensure the safety and well-being of yourself, your customers, and the company., • Route Support: Collaborate with the Service and Management Teams to support new account installations, assist RSRs on routes, contribute to rerouting efforts, and collections. You will also have the opportunity to upsell and strengthen customer relationships., • Effective Communication: Share customer feedback and potential solutions with location leadership. Stay informed about competitor activity in the local market. Core Competencies: • Time Management & Adaptability: Ability to adapt to changing routes, conditions, and customer needs., • Customer-Centric Mindset: UniFirst is a service-driven company, and as a Route Specialist, you’ll play a crucial role in ensuring customer satisfaction., • Collaboration & Team Support: While autonomy is key, collaboration within the Service, Production, Sales and Office Department is essential to ensure success. Why You’ll Enjoy This Role: • Variety: Every day brings new routes and new experiences, ensuring no two days are alike., • Agility: Perfect for those who thrive in a fast-paced environment and enjoy navigating different routes, weather conditions, and schedules., • Autonomy: Work independently while being part of a supportive team that values service excellence and adaptability. Qualifications What You Bring to UniFirst: • Driver’s License & Safe Driving Record: Must be at least 21 years old with a valid driver’s license, a clean driving record, and reliable transportation., • DOT Compliance: Meet all Department of Transportation (DOT) requirements, including a physical exam., • Educational Requirements: High school diploma, GED, or military service required., • Strong Customer Service Skills: Ability to work independently while maintaining a team-oriented mindset and providing excellent customer service., • Relevant Experience: Prior experience in customer service, route sales, or delivery, roles is a plus!, • Tech-Savvy: Comfortable using and learning new technologies to enhance operational efficiency., • Physical Stamina: Capable of lifting, carrying, and pushing up to 50 lbs., with the ability to remain on your feet for extended periods. You Will Benefit From: • Competitive Compensation: Competitive salary, 401(k) with company match, profit sharing, health and life insurance, paid time off, employee discounts, tuition reimbursement, and more., • Work-Life Balance: Monday–Friday day shift schedule., • Career Development: Continuous training and growth opportunities., • Inclusive Culture: A diverse and inclusive work environment that values a variety of backgrounds and perspectives. Join UniFirst for a Rewarding Career At UniFirst, you'll find opportunities for advancement in a supportive and diverse environment. If you're ready to take on a dynamic, customer-focused role with plenty of room for growth, we’d love to hear from you! The estimated salary for this position ranges from $61,927.98 to $86,011.08 yearly. Actual compensation will vary based on factors including but not limited to the candidate’s skills, experience, and qualifications. Geographic differentials may also apply depending on the position’s location. There is no application deadline for this role; recruitment will remain open until the position is filled. About UniFirst UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 16,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

Job Description Join Imperial Cleaning as a Full-Time District Manager, a field based position within the New York Metro Area. This role presents an exciting opportunity to lead a team of dedicated professionals while driving customer satisfaction and operational excellence. You will be rewarded for your contributions to our vibrant, customer-focused culture. Your ability to think abundantly and solve problems will be pivotal in this high-performance environment, where your passion for delivering exceptional service will shine. We value integrity, empathy, and safety, ensuring that your efforts contribute to a supportive and engaging workplace. You will be offered great benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Flexible Spending Account, Paid Time Off, Employee Discounts, Generous 401k match, and Aflac insurance plans. This is not just a job; it's a chance to impact your community and grow your career in a dynamic company dedicated to excellence in customer service. YOUR DAY AS A DISTRICT MANAGER As a new District Manager at Imperial Cleaning, your day-to-day expectations will involve overseeing multiple locations within the New York Metro Area. You will be responsible for managing teams, ensuring that customer service standards are consistently met or exceeded. Your tasks will include conducting regular site visits, providing support and training to staff, and implementing operational improvements to enhance efficiency and quality. Your schedule will typically be Monday through Friday, allowing for a balanced work-life dynamic while keeping you engaged with your teams. However, you will also be on-call for emergencies as needed, requiring quick problem-solving and decision-making skills. This role demands an empathetic approach to leadership, so you can expect to foster strong relationships with both employees and clients, ensuring a high-performing and customer-centric environment. ESSENTIAL FUNCTIONS • Establish working relationships with Clients., • Perform required location inspections and touchbases ( minimum of 1x ins and 2 TB per qtr)., • Report and resolve Inspection deficiencies. Urgent within 24 hours., • Managing Staff:, • Screen, Hire, Onboard, and Terminate staff., • Train Custodial Technicians supporting Area Sups & Acs ., • New Account setup oversight., • Assist to training staff with Clocking In/Out as needed., • Monitoring employee time and attendance., • Manage daily staffing schedules and adjust accordingly to ensure adequate staffing levels., • Conduct weekly payroll., • Report accidents/injury., • Address and resolve any employee performance issues., • Notify HR/Payroll and Operations of ALL staffing changes., • On-Call for Emergency situations/calls - evenings and weekends., • Create Supply Orders as needed., • Submit service requests to the office., • Update account spreadsheet as directed., • Responsible for KPIs within region., • Performing Performance Reviews for direct reports. KEY REQUIREMENTS: • Experience with Commercial cleaning industry a plus., • Must speak fluent English and Spanish., • Detail oriented and strong communication skills (email, phone)., • Results oriented: the ability to resolve challenges and emergencies at a moments notice., • Multi task oriented: The ability to handle multiple projects at a time., • Customer focused with a can-do approach to problem solving., • Knowledge of administrative and clerical procedures., • Working Knowledge of email, spreadsheets, smartphone and relevant software applications., • Knowledge of administrative and clerical procedures., • Strong unwavering ability to use technology. OTHER JOB DUTIES • All other tasks as assigned by management. JOIN US! So, what do you think? If you feel this is the right job for you, go ahead and apply! We look forward to meeting you! Applicants must be 18 years of age or older to be considered for employment.

Job Description MNRK Music Group is looking for a Manager, Direct to Consumer Operations to join our team. Reporting to the VP, Direct to Consumer, this role leads the management and optimization of MNRK's direct-to-consumer business across e-commerce storefronts, product launches, merchandising, inventory, and fulfillment operations. The ideal candidate combines strong e-commerce expertise with operational excellence, using data-driven insights to enhance customer experience, drive revenue growth, and support successful physical and digital product releases. As a key cross-functional partner, this individual will collaborate with marketing, retail, production, and external vendors to deliver a seamless consumer journey from product launch through delivery. The successful candidate will thrive in a fast-paced environment, balancing strategy and execution while helping shape the continued growth of MNRK's direct-to-consumer business and fan experience. Candidates should be based in either New York or Tennessee; consideration will also be given to highly qualified candidates outside of these areas. What You Will Be Doing: • Own and optimize the direct-to-consumer storefront experience across e-commerce platforms, marketplaces, and social commerce channels, ensuring a seamless customer journey and strong conversion performance., • Manage digital merchandising, product catalog updates, pricing, promotions, and launch execution to maximize visibility, engagement, and revenue., • Monitor storefront performance and customer behavior, leveraging analytics, testing, and reporting to identify opportunities for optimization and growth., • Partner with marketing teams to support email, retention, paid media, and promotional initiatives that drive traffic and sales across DTC channels., • Lead inventory planning and coordination with fulfillment partners, ensuring product availability, accurate inventory visibility, and efficient order fulfillment., • Oversee physical product operations for vinyl, CDs, and other formats by coordinating production timelines, vendor relationships, and release schedules in partnership with internal stakeholders and external manufacturing partners., • Partner cross-functionally with marketing, retail, finance, operations, and external vendors to execute product launches, improve operational processes, and support continued growth of the DTC business. What Makes You Qualified: • 5+ years of experience in direct-to-consumer operations, e-commerce, digital merchandising, or related functions, preferably within music, entertainment, media, or consumer products., • Proven experience managing e-commerce storefronts, product launches, merchandising, and customer experience initiatives., • Strong analytical skills with experience using performance data and reporting tools to drive business decisions and revenue growth., • Experience with Shopify, Shopify Plus, or similar e-commerce platforms, including marketplace and fulfillment integrations., • Demonstrated ability to manage multiple projects and product launches simultaneously while maintaining strong attention to detail., • Experience working cross-functionally with marketing, operations, finance, retail, and external vendor partners., • Knowledge of inventory planning, fulfillment operations, and physical product supply chains., • Excellent communication, organization, and project management skills with the ability to thrive in a fast-paced environment. What Would Be Music to Our Ears: • Music industry, entertainment, or media experience., • Experience with Klaviyo or similar CRM and retention marketing platforms., • Familiarity with paid media channels, including Meta and Google., • Knowledge of physical music production, distribution, and fulfillment processes., • Experience with Luminate reporting, chart strategy, or related music industry tools., • Passion for physical music and the independent music landscape. MNRK Music is a global music company that includes several historic and groundbreaking record labels including Dualtone Records, Last Gang Records, and deep catalog repertoire. We are committed to fostering creativity, diversity, and innovation in the music industry. This is a hybrid role that will require you to commute to our New York City or Nashville office a minimum of three days a week.

Job DescriptionJob ID: # 26-37044 Pay rate: $100/hr Title: Operations Manager (III) Duration: 11 Months contract Location: New York, NY (Hybrid – 3 days onsite per week)Description: As an Operations Manager, you drive program outcomes to determine how to design, launch, standardize, and optimize operational processes of vendor or internal teams. You utilize your comprehensive knowledge of process optimization and your supported operation or workstream to drive outcomes (e.g. process re-engineering/implementation, automation/outsourcing solutions, vendor or location consolidation, deprecating service lines). You drive tracking and analysis of operational trends in process or workflow performance to implement improvements and efficiency scoring frameworks. Responsibilities include: • Drive creation of or maintenance of SOPs, process maps, workflow documentation, help resources, and relevant training and certification programs., • Drive contributions to execution of projects to generate impact and solve scaled operations problems. Partner with relevant teams on project scoping, execution, and management., • Drive tracking and analysis for trends of operational characteristics in process or workflow performance and identify opportunities to improve operational procedures (e.g., manage utilization, eliminate non-productive activities, create cross-site efficiencies, influence automation and robotics enhancements)., • Drive supplier/internal selection processes, onboarding processes, performance reviews, and progress evaluations relating to a specific project or effort that are integrated into overarching project., • Identify proper metrics, ensure use of proper data, display data in dashboards, and optimize dashboards. Develop, publish, and communicate operational metrics/KPIs., • Drive provision of feedback to service providers and internal stakeholders on how processes/products may be improved to simplify complex workflows and scale the operation. Drive work with partner teams (e.g., service provider teams, internal teams) to set and implement process improvements and changes. Drive the definition and implementation of workflow efficiency scoring frameworks to proactively and retroactively identify gaps in execution., • Drive customer experience for end-to-end programs, policies, and operations., • Drive operations (that are in compliance with legal, risk, financial, privacy guidelines) with supplier/internal partners by driving operational leadership to the workflow and engaging service provider teams to ensure supplier/internal teams are operating effectively. Drive development of operations review process to gain insights into performance and proactively identify solutions before issues occur. Strategize closely with quality specialists or directly with suppliers, depending on the vertical, to ensure that suppliers are meeting SLAs and PRDs and deliver business reviews summarizing supplier performance and exchanging feedback on overall scaling strategy., • Drive question resolution within SLA, resolve employee query exceptions and escalations, manage resolution of employee-facing queues, determine highest volume ticket types and streamline/eliminate accordingly., • Drive relationships with stakeholders, helping them understand policies and processes and assisting other stakeholders on escalations/exceptions., • Drive sharing and scaling of successes, opportunities for improvement, best practices, and learnings internally and externally as appropriate (e.g., case studies, industry events, training contributions)., • Drive meetings with stakeholders to identify business objectives and requirements for operations. Drive contributions to delivery of business requirements with the right supplier/internal strategy (right MSP, right location at the right cost, budget)., • Drive the ideation, launch, and scaling of solutions that improve operational efficiency, customer experience, and/or success metrics (e.g., cost savings, capacity planning, time savings) at a pod, market, regional, or global level., • Drive management of strategic relationships with key stakeholders to deliver or manage operations and processes. Minimum role qualification requires proficiency in: • Data analysis, synthesis & planning, • Operational SLA knowledge, • Data analysis & synthesis, • Domain specific knowledge, • Queue and ticket management, • Team Management, • Customer support, • Automation tools and processes, • Stakeholder relationship management, • Client and domain knowledge, • Identifying automation opportunities, • Project management, • Industry knowledge, • Business operations knowledge, • Client/partner management, • Consultative skills, • Process design and improvement, • Negotiation, • Business acumen Thanks! Yogya Shukla Lead Recruiter Cell: +1 650.276.3512 ; Office: +1 973.967.3588 Office Address: 360 Mt. Kemble Avenue, Suite 2000, Morristown, NJ 07960 LinkedIn: https://www.linkedin.com/in/yogya-shukla-6a4037194/ Email: yogya.shukla@artech.com , Website: www.artech.com

Job DescriptionJob Description Domino’s General Manager Job Summary The General Manager oversees daily store operations, leads the team, and ensures excellent customer service, food quality, and efficient delivery. This role is responsible for staffing, training, scheduling, inventory, financial performance, and maintaining company standards. Responsibilities • Recruit, train, coach, and develop team members and assistant managers., • Create schedules that support business needs and control labor costs., • Oversee food preparation, order accuracy, delivery operations, and customer service., • Monitor sales, food costs, labor, and overall store profitability., • Manage inventory, product ordering, portion control, and waste., • Maintain accurate cash handling, deposits, and store records., • Ensure compliance with food safety, sanitation, workplace safety, and applicable employment requirements., • Resolve customer concerns promptly and professionally., • Maintain a clean, organized store and properly functioning equipment., • Lead by example and build a positive, accountable team. Qualifications • Previous restaurant management or supervisory experience preferred., • Strong leadership, communication, and problem-solving skills., • Ability to manage a fast-paced environment and prioritize tasks., • Understanding of scheduling, inventory, cash handling, and cost control., • Availability to work evenings, weekends, and holidays., • Ability to perform essential duties, with reasonable accommodation as needed. Pay and Benefits • Pay: $1,000–$1,100 per week (salary), plus a period profit bonus that includes cost control and service incentives, plus separate bonuses for high inspection scores from NSF and Domino's., • Benefits: Full-time management team members are eligible for co-pay health insurance. General Managers get 1 week of paid vacation per year., • Training and opportunities to advance into multi-store leadership and operations roles.Additional Information We consider qualified applicants with criminal histories in line with New Jersey and Philadelphia fair-chance laws. Any background check happens only after a conditional job offer, with your written permission, and includes an individualized assessment of your specific record and the duties of the job. Team Joarder (an independent Domino's franchisee) is an equal opportunity employer. We do not discriminate on the basis of race, creed, color, religion, national origin, ancestry, nationality, sex, pregnancy or breastfeeding, sexual orientation, gender identity or expression, age, marital/civil union/domestic partnership status, familial status, disability, genetic information, military/veteran status, or any other status protected by federal, New Jersey, Pennsylvania or Philadelphia law. If you need an accommodation to apply, call or text the store, or email wjohnston@teamjoarder.com.

Job DescriptionJob Description Domino’s General Manager Job Summary The General Manager oversees daily store operations, leads the team, and ensures excellent customer service, food quality, and efficient delivery. This role is responsible for staffing, training, scheduling, inventory, financial performance, and maintaining company standards. Responsibilities • Recruit, train, coach, and develop team members and assistant managers., • Create schedules that support business needs and control labor costs., • Oversee food preparation, order accuracy, delivery operations, and customer service., • Monitor sales, food costs, labor, and overall store profitability., • Manage inventory, product ordering, portion control, and waste., • Maintain accurate cash handling, deposits, and store records., • Ensure compliance with food safety, sanitation, workplace safety, and applicable employment requirements., • Resolve customer concerns promptly and professionally., • Maintain a clean, organized store and properly functioning equipment., • Lead by example and build a positive, accountable team. Qualifications • Previous restaurant management or supervisory experience preferred., • Strong leadership, communication, and problem-solving skills., • Ability to manage a fast-paced environment and prioritize tasks., • Understanding of scheduling, inventory, cash handling, and cost control., • Availability to work evenings, weekends, and holidays., • Ability to perform essential duties, with reasonable accommodation as needed. Pay and Benefits • Pay: $1,000–$1,100 per week (salary), plus a period profit bonus that includes cost control and service incentives, plus separate bonuses for high inspection scores from NSF and Domino's., • Benefits: Full-time management team members are eligible for co-pay health insurance. General Managers get 1 week of paid vacation per year., • Training and opportunities to advance into multi-store leadership and operations roles.Additional Information We consider qualified applicants with criminal histories in line with New Jersey and Philadelphia fair-chance laws. Any background check happens only after a conditional job offer, with your written permission, and includes an individualized assessment of your specific record and the duties of the job. Team Joarder (an independent Domino's franchisee) is an equal opportunity employer. We do not discriminate on the basis of race, creed, color, religion, national origin, ancestry, nationality, sex, pregnancy or breastfeeding, sexual orientation, gender identity or expression, age, marital/civil union/domestic partnership status, familial status, disability, genetic information, military/veteran status, or any other status protected by federal, New Jersey, Pennsylvania or Philadelphia law. If you need an accommodation to apply, call or text the store, or email wjohnston@teamjoarder.com.

Job Description JOB TITLE: Franchise Business Consultant (FBC) II FLSA Exempt REPORTS TO: Regional Manager, Sr. Regional Manager Job Type Full Time Employee DEPARTMENT: Operations Team LOCATION: NJ, GA or VA SUMMARY The Franchise Business Consultant (FBC) serves as the primary operational partner and field consultant between Tous les Jours franchisees and the corporate office. Reporting to the Regional Manager (or Sr. Regional Manager), the FBC is directly responsible for a portfolio of assigned franchise locations. The core mission of this role is to drive sustainable revenue growth and ensure strict adherence to brand standards across the assigned stores. This is achieved through hands-on support for New Store Openings (NSO), in-depth sales performance analysis, operational consultation to improve store efficiency and QSC compliance, and acting as the central point of contact for all franchisee communications and issue resolution. The FBC is instrumental in executing corporate strategies at the store level and ensuring the financial health and operational excellence of the franchise system. JOB DUTIES 1. Brand Standard Compliance & Oversight • Audit & Remediation: Conduct quarterly Quality, Service, and Cleanliness (QSC) audits for all assigned stores, identifying operational deficiencies and managing the franchisee to ensure timely correction and improvement., • Policy Implementation: Monitor and guide franchisees to ensure adherence to all corporate policies and standards regarding Brand Identity (BI), Store Identity (SI), and operational procedures., • Policy Coordination: Serve as the intermediary between franchisees and corporate departments (e.g., Marketing, SCM) to coordinate the rollout of new or changed company policies, addressing franchisee inquiries and ensuring smooth implementation., • Initial Policy Feedback: Contribute constructive, low-level operational feedback to relevant corporate departments regarding the feasibility and impact of potential new policies on franchisees before final implementation. 1. Sales Performance Analysis & Consulting • Sales Monitoring: Manage a portfolio of 10 to 15 assigned franchise locations, daily monitoring their sales, and key operational metrics to ensure targets are achieved and maintained., • Data-Driven Consultation: Conduct in-depth analysis of POS sales data and Sales Mix composition to diagnose performance gaps and provide strategic recommendations to franchisees for continuous revenue growth., • Menu Optimization: Provide consultation on adjusting the product mix and display strategy within the standardized franchise menu to ensure the offering is optimally aligned with the local trade area and customer demographics, driving higher sales for preferred categories., • New Product Launch (NPL) Adoption: Proactively communicate with and encourage franchisees to place initial orders for new products and consistently follow up with non-ordering stores to drive rapid adoption and proliferation of newly launched menu items. 1. Franchisee Revenue Activation • Revenue Growth Planning: Develop and execute sales activation strategies based on data analysis. This includes planning and implementing local promotions (for the entire portfolio or specific stores) and analyzing their effectiveness., • Local Market Penetration: Propose and support area marketing activities such as collaborating with local influencers, seeking media exposure, or engaging with community organizations to increase brand awareness and foot traffic., • Optimized Menu Strategy: Provide consultation on market-specific menu configuration to ensure the product offering is optimally aligned with the local trade area and customer demographics. 1. New Store Opening (NSO) Support & Stabilization • Pre-Opening Coordination: Collaborate with the Interior Design team and the franchisee on operational aspects of the Floor Plan and store design. Coordinate initial product selection, menu planning, and logistics (w/SCM team) to ensure a smooth pre-opening phase., • On-Site Setup & Training: Travel to the NSO site to directly manage and execute the operational setup, including equipment testing, inventory organization, and securing necessary smallwares and supplies., • Staff Training: Conduct comprehensive, on-site, pre-opening training for the newly hired store staff on all necessary job functions., • Opening Day Support: Provide direct operational support during the store's initial opening days, offering hands-on coaching and training to the franchisee and staff in a live customer environment., • Post-Opening Follow-Up: Provide extensive remote support and follow-up consultation to the new franchisee to ensure smooth operational stabilization, including addressing inquiries and requests related to daily store management., • Initial Sales Consultation: Monitor daily sales performance and conduct preliminary Sales Mix analysis immediately following the opening to identify early opportunities and consult on strategies for maximizing initial revenue. 1. Risk Management • Issue Resolution: Act as the first responder to store-level operational issues and conflicts between the franchisee and the company to prevent escalation., • Escalation & Action: Report significant issues through the established reporting structure and execute necessary actions or sanctions, as directed by management, to resolve the situation., • Legal Compliance: Consult with the Legal team on initial steps regarding potential compliance breaches that may lead to significant risk., • Financial Collection Support: Collaborate with the Accounting team to communicate with franchisees regarding overdue payments (e.g., product payments, royalties) and execute necessary actions to collect long-term receivables. 1. Cross-Functional Collaboration & Administration • Project Participation: Participate in corporate initiatives or projects related to franchise business operations, such as manual updates or system overhaul task forces (full-time or part-time capacity)., • Primary Point of Contact: Serve as the central Point of Contact (POC) for all general franchisee inquiries and requests, effectively bridging communication between the franchisee and all other corporate departments. QUALIFICATIONS • Education: High School Diploma or GED required. An associate's Degree or relevant training in Hospitality or Business is preferred. A bachelor's degree in Business, Marketing, or a related field is preferred., • Experience: Minimum of 2 years of progressive, direct experience in multi-unit operations, QSR, or franchise consulting is required. Demonstrated ability to independently manage a portfolio of stores and drive sales performance., • Skills: Proficiency in basic computer skills (MS Office, Email) and POS systems. Strong verbal and written communication and interpersonal skills. Proven ability to learn new operational standards quickly and train others effectively., • Other: Valid driver's license and reliable transportation required. Willingness to travel domestically for NSOs and regular store visits (Up to 75% travel).

Job Description Position Title: [[title]] Salary: $110,000 - $130,000 Other Forms of Compensation: Comprehensive Benefit Package & Bonus Potential A family of companies and experiences As the leading foodservice and support services company, Compass Group USA is known for our great people, great service and our great results. If you’ve been hungry and away from home, chances are you’ve tasted Compass Group’s delicious food and experienced our outstanding service. We have over 284,000 US associates who work in award-winning restaurants, corporate cafes, hospitals, schools, arenas, museums, and more in all 50 states. Our reach is constantly expanding to shape the industry and create new opportunities for innovation. Join the Compass family today! great people. great services. great results. Each and every individual plays a key role in the growth and legacy of our company. We know the next big idea can come from anyone. We encourage developing and attracting expertise that differentiates us as a company as we continue to raise the bar. This position is eligible for an Employee Referral Bonus! If you know someone that is qualified for this role, please use the ‘job search’ in PeopleHub to refer your referral and email them a link to apply. Your referral will be able to apply by clicking the link in the email. You can check the status through your profile, accessible via Careers in PeopleHub, by clicking on ‘referral tracking.’ For Employee Referral guidelines, FAQs and the Compass Employee Referral Policy, email MyReferral@compass-usa.com. Job Summary Being part of the Company Management Team is about making a meaningful impact every day. We are seeking a dedicated leader who thrives in a fast-paced environment, demonstrates exceptional attention to detail, and is committed to delivering outstanding service to team members, clients, guests, and all stakeholders. If you are passionate about excellence, leading high-performing teams, and creating memorable guest experiences, we invite you to join us and make a difference. As a General Manager, you will be responsible for the overall leadership, operational excellence, and cost-effective management of multiple dining service departments This role requires a hands-on, results-driven leader who can successfully balance guest satisfaction, client expectations, team engagement, and financial performance while ensuring the achievement of operational goals and business objectives. Key Responsibilities: • Is well-versed in all aspects of foodservice management, with a proven track record of success, • Takes ownership of the operation and ensures the operation meets all timelines for service and all other timelines established by management and/or client, • Manages all financials including planning, budget development and analysis, and financial reporting, • Is proactive and positive; interacts professionally with a diverse group of associates, peers, managers, suppliers, clients and customers, • Demonstrates initiative and good judgement in assisting customers, clients, peers and subordinates, • Conducts management meetings, • Can think quickly and accurately, and be able to evaluate problems and make appropriate recommendations, • Audits units to ensure conformance with the Company, government and accrediting agency standards, regulations and codes regarding food storage, preparation, sanitation and record keeping, • Hires, trains, and orientates new management and team associates Preferred Qualifications: • Minimum of five years of retail operational foodservice management experience preferred, flexible depending upon formal degree or training, • Good knowledge of food and catering trends with a focus on quality, production, sanitation, food cost controls, marketing and presentation, • P&L accountability and contract-managed service experience is desirable, • Multi-unit management experience preferred, • Supervisory, leadership, management and coaching skills, • Good communication skills both written and verbal, • Ability to communicate on various levels to include management, customer and associate levels, • Knowledge of financial, budgetary, accounting, and computational practices, • Proficient computer skills to include: various computer programs, Microsoft Office programs, e-mail, and the Internet Apply to Compass Group today! Click here to Learn More about the Compass Story Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. Compass Corporate maintains a drug-free workplace. Applications are accepted on an ongoing basis. Associates at Corporate are offered many fantastic benefits. • Medical, • Dental, • Vision, • Life Insurance/ AD, • Disability Insurance, • Retirement Plan, • Paid Time Off, • Paid Parental Leave, • Holiday Time Off (varies by site/state), • Personal Leave, • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs) Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyCorpAndFoodbuy.pdf Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Req ID: 1585214 Compass Corporate JoEtta Barnes [[req_classification]]

Job Description Join Imperial Cleaning as a Full-Time District Manager, a field based position within the New York Metro Area. This role presents an exciting opportunity to lead a team of dedicated professionals while driving customer satisfaction and operational excellence. You will be rewarded for your contributions to our vibrant, customer-focused culture. Your ability to think abundantly and solve problems will be pivotal in this high-performance environment, where your passion for delivering exceptional service will shine. We value integrity, empathy, and safety, ensuring that your efforts contribute to a supportive and engaging workplace. You will be offered great benefits such as Medical, Dental, Vision, 401(k), Life Insurance, Flexible Spending Account, Paid Time Off, Employee Discounts, Generous 401k match, and Aflac insurance plans. This is not just a job; it's a chance to impact your community and grow your career in a dynamic company dedicated to excellence in customer service. YOUR DAY AS A DISTRICT MANAGER As a new District Manager at Imperial Cleaning, your day-to-day expectations will involve overseeing multiple locations within the New York Metro Area. You will be responsible for managing teams, ensuring that customer service standards are consistently met or exceeded. Your tasks will include conducting regular site visits, providing support and training to staff, and implementing operational improvements to enhance efficiency and quality. Your schedule will typically be Monday through Friday, allowing for a balanced work-life dynamic while keeping you engaged with your teams. However, you will also be on-call for emergencies as needed, requiring quick problem-solving and decision-making skills. This role demands an empathetic approach to leadership, so you can expect to foster strong relationships with both employees and clients, ensuring a high-performing and customer-centric environment. ESSENTIAL FUNCTIONS • Establish working relationships with Clients., • Perform required location inspections and touchbases ( minimum of 1x ins and 2 TB per qtr)., • Report and resolve Inspection deficiencies. Urgent within 24 hours., • Managing Staff:, • Screen, Hire, Onboard, and Terminate staff., • Train Custodial Technicians supporting Area Sups & Acs ., • New Account setup oversight., • Assist to training staff with Clocking In/Out as needed., • Monitoring employee time and attendance., • Manage daily staffing schedules and adjust accordingly to ensure adequate staffing levels., • Conduct weekly payroll., • Report accidents/injury., • Address and resolve any employee performance issues., • Notify HR/Payroll and Operations of ALL staffing changes., • On-Call for Emergency situations/calls - evenings and weekends., • Create Supply Orders as needed., • Submit service requests to the office., • Update account spreadsheet as directed., • Responsible for KPIs within region., • Performing Performance Reviews for direct reports. KEY REQUIREMENTS: • Experience with Commercial cleaning industry a plus., • Must speak fluent English and Spanish., • Detail oriented and strong communication skills (email, phone)., • Results oriented: the ability to resolve challenges and emergencies at a moments notice., • Multi task oriented: The ability to handle multiple projects at a time., • Customer focused with a can-do approach to problem solving., • Knowledge of administrative and clerical procedures., • Working Knowledge of email, spreadsheets, smartphone and relevant software applications., • Knowledge of administrative and clerical procedures., • Clean DMV report & License., • Strong unwavering ability to use technology. OTHER JOB DUTIES • All other tasks as assigned by management. JOIN US! So, what do you think? If you feel this is the right job for you, go ahead and apply! We look forward to meeting you! Applicants must be 18 years of age or older to be considered for employment.

Job Description Our client, a rapidly growing force in the CPG and wellness sector, is seeking a dynamic and experienced Head of D2C to elevate our direct-to-consumer strategy and execution. This pivotal role will own the end-to-end performance of our D2C channels, serving as the strategic partner responsible for driving aggressive revenue targets and ensuring an exceptional customer journey. Reporting directly to the Senior Vice President of Commercialization, this position offers a unique opportunity to shape the future of our D2C business, which is the foundation of our company's success. We are looking for a hands-on leader who thrives in a high-growth, "scrappy" startup environment, capable of independent leadership and growth within the company. The ideal candidate will be a strategic thinker with a keen eye for operational excellence, willing to "roll up their sleeves" to get things done, and proactively identify opportunities for improvement and scaling. Location: Remote East Coast — This is a remote position, though candidates must be available to work East Coast hours. KEY RESPONSIBILITIES • Own the comprehensive performance and health of the D2C channel, including aggressive revenue targets and overall business growth., • Lead the end-to-end execution and optimization of the website business, ensuring a pixel-perfect customer experience., • Drive day-to-day operational excellence, ensuring the e-commerce business runs smoothly, efficiently, and with continuous improvement., • Manage and inspire a dedicated e-commerce manager, fostering a high-performance team culture., • Oversee and collaborate with external partners, including development agencies, CRO agencies, and the Amazon agency (OMP), ensuring timely and effective execution., • Partner strategically with the marketing growth team (Meta, Google, TikTok Shop) to optimize paid revenue channels and drive qualified traffic to the website., • Collaborate with the internal customer lifecycle team on email, SMS, CRM, and subscription strategies to enhance customer engagement and retention., • Proactively identify and implement improvements across the D2C ecosystem, scaling processes and technologies to support rapid business expansion., • Translate strategic objectives into actionable plans, ensuring efficient task execution and adherence to timelines across all D2C initiatives. REQUIRED / MUST-HAVE QUALIFICATIONS • Minimum of 8+ years of progressive experience in D2C e-commerce leadership roles, demonstrating a strong trajectory in driving revenue growth., • Mandatory experience in the Consumer Packaged Goods (CPG) industry, with a strong understanding of CPG go-to-market strategies., • Proven proficiency in Shopify, with hands-on experience managing and optimizing the platform for performance and customer experience., • Demonstrated ability to operate effectively and execute in a high-growth startup environment, embracing a "scrappy" and lean operational style., • Exceptional leadership skills with experience managing direct reports and external agency partners to achieve business objectives., • Strong analytical mindset with the ability to leverage data to drive decisions, identify opportunities, and communicate insights to cross-functional teams., • Highly organized with a meticulous attention to detail, ensuring flawless execution and a superior customer journey., • Ability to proactively identify challenges and opportunities, translating them into scalable solutions for business improvement. COMPENSATION & BENEFITS • Compensation: $180K- $200K+ Base salary, • Healthcare and 401K (match coming 2027), • Work Arrangement: Remote position. Candidates must be available during East Coast hours, with some flexibility for those in other time zones. If this sounds like the position you have been waiting for, please apply using the online application or the link below - all inquiries are strictly confidential. Our focus is to assist you to make your best next career move, and we will not use your information for any other purpose. Kalon Executive Search is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. www.KalonSearch.com

Job DescriptionBenefits: • Bonus based on performance, • Competitive salary, • Opportunity for advancement, • 401(k), • Health insurance Job Title: KidStrong General Manager Center: Reports To: KidStrong General Managers are the leaders of the center – it is the responsibility of the General Manager to foster a culture of learning and development for both their coaches and the families that attend the center. The General Manager is a talented, welcoming, and engaging leader who is focused on defining goals and delivering an exceptional experience for the kids, families, and team members. The goal of the General Manager is to develop and train their coaching team, build close relationships with their members, and deliver key business results such as sales performance and lowering member attrition. RESPONSIBILITIES: CENTER OPERATIONS • Understand the center’s key KPIs and financials to make informed and responsible business decisions., • Build and maintain relationships with KidStrong families that align with our core values and provide exceptional customer service., • Oversee center-level initiatives i.e. center maintenance, training, brand consistency, etc., • Daily, Weekly, and Monthly cleaning and maintenance of the center. Delegate center tasks amongst the center team to ensure consistent execution., • Manage center-level employee issues and manage appropriate documentation., • The typical schedule includes 4 weekday and 1-weekend shifts with specific hours dependent on the needs of the center., • Set and communicate coach schedules using appropriate scheduling and communication platforms., • Schedule, promote, and sell KidStrong events, such as camps and parties, to maximize center profitability. SALES, • Maintain flawless lead management by conducting call drives to new and existing leads in the Center’s CRM tool., • Responsible for sales, as well as delegating responsibilities to the center staff team, i.e. call drives, trial conversion, and event booking., • Finalize sales and bookings that are generated through online self-sign-up flow., • Source and attend local events to increase brand awareness, and drive incremental leads and memberships. LEADERSHIP, • Foster a coaching culture - see something, say something., • Continuously assess and document Coaches based on the KidStrong Coach DNA profile and class quality., • Recruit, screen, interview, onboard, manage, train, and evaluate coaching candidates., • Ensure candidates complete all paperwork to comply with company policy and law., • Lead coaching candidates through the training process and required evaluations., • Manage and support the ongoing professional development of staff through LearnUpon., • Lead Center level staff meetings focused on - development, productivity, programming, and product., • Communicate professionally with co-workers in Slack and Email, including periodic checks of messages when not in centers., • Attend weekly leadership meetings. COACHING, • Coach students by delivering an evolving curriculum that focuses on Brain, Physical, and Character development for ages ranging from walking to 11 years old approximately as required by business demands., • Create positive interactions with students and families before, during, and after class., • Understand the “why” behind the KidStrong curriculum and be able to clearly and concisely communicate it., • Demonstrate and manage the implementation of various programming and curriculum elements., • Use the KS Coaches App to record and provide data (attendance, awards, etc.)., • Must be able to work in a physically intensive environment - coaches may cover multiple miles in a shift moving through class, lifting and repeatedly moving equipment up to 25 pounds in weight., • Lead monthly center staff meetings focused on culture, development, product, and performance., • Approximately 3-5 coaching hours per week SKILLS/QUALIFICATIONS, • An athletic and/or coaching background with experience working with or coaching kids ages 15 months - 11 years old - a passion for working with children is non-negotiable!, • Achieve Coach Certification through the HQ Training and Certification team., • Complete training through LearnUpon as required by the HQ Training and Certification team., • Comfortable speaking to parents/guardians regarding a variety of topics., • Prior experience as a pediatric OT/PT is a plus, but not required., • Previous experience in management is required., • Practical work experience with Google and Microsoft platforms., • Previous experience with systems and platforms such as ZenPlanner, LearnUpon, CareerPlug, ADP, and FranConnect is preferred but not required, • Intermediate knowledge of physiology, exercise techniques, and body mechanics. CPR certified. Sphere of Interaction This position will supervise the AGM, Lead Coach, and coaches. The General Manager will consistently lead and mentor their team. Communication and interpersonal skills are essential. The General Manager will work closely with center team members and families. This position will also interact with leadership and KidStrong, Inc. HQ team members. DNA/COMPETENCIES To perform the job successfully, an individual should demonstrate the following competencies: High Standards • Establishes and holds high standards Natural Leader, • Creates and embodies culture., • Takes initiative. Leads by Example Sets tone through actions. Passionate • Stays focused on the KidStrong Goals., • Goal-oriented and high-performing. Command Presence, • Upholds KidStrong Values; creates a vision for others. Teacher, • Communicate and ensure the transfer of knowledge. Professional, • Approaches others in a tactful manner., • Reacts well under pressure., • Treat others with respect and consideration., • Accepts responsibility for own actions., • Follows through on commitments. Performer, • Engaging, Fun, Likable., • High Energy, Clear & Easy to Understand. Mentor, • Develops and nurtures relationships., • Focuses on developing self and others. Planning/Organizing, • Prioritizes and plans work activities; Develops realistic action plans., • Set goals and objectives., • Uses time efficiently., • Plans for additional resources., • Organizes or schedules other people and their tasks. Oral Communication, • Speaks clearly and persuasively in positive or negative situations., • Responds well to questions; Listens and gets clarification., • Demonstrates group presentation skills; Participates in meetings. Written Communication, • Writes clearly and informatively; Edits work for spelling and grammar, • Varies writing style to meet needs, • Presents numerical data effectively; Able to read and interpret written information. Teamwork, • Balances team and individual responsibilities, • Exhibits objectivity and openness to others' views, • Contributes to building a positive team spirit; Supports everyone's efforts to succeed., • Puts success of team above own interests; Able to build morale and group commitments to goals and objectives Coachable/Low Ego Mindset, • Gives and welcomes feedback., • Encourages exploring of different perspectives to reach common goals and objectives, • Has a growth mindset; Sees every opportunity as one to learn from. Adaptability, • Comfortable calling an audible; continuing or adjusting the play after the audible is called., • Embraces innovation and a quickly changing landscape. Best Idea Wins!

Job Description Gemologist Assistant Manager - Secaucus, NJ Position Overview: Brilliant Earth is searching for a proactive, resourceful, and innovative Assistant Manager to support our Procurement and Vendor Relations functions. In this role, you will assist in managing the procurement of gemstone purchases while contributing to vendor relationship management and inventory control. You will work closely with senior management and cross-functional teams to ensure a seamless supply chain process in line with our commitment to responsible sourcing and excellence in customer service. This role is based onsite in our Secaucus, NJ distribution center. The targeted budget for this position is $70k-$80k. This compensation budget range may be adjusted at any time at the discretion of the company. Key Responsibilities • Assist in the procurement of all gemstone purchases., • Help manage day-to-day vendor interactions and develop relationships with existing and potential partners., • Support escalation management and work with vendors who share Brilliant Earth's commitment to responsible sourcing., • Coordinate tasks and resources to maintain strong vendor networks., • Assist with planning and maintaining optimal inventory levels across the gemstone department, • Collaborate with sales, production, and fulfillment teams to ensure precise inventory tracking and communication., • Support recruiting, training, and development of team members., • Empower team members to resolve day-to-day challenges and maintain high performance., • Aid in formulating and implementing systems, policies, and procedures that drive efficient business operations., • Ensure that procurement practices and vendor operations meet Brilliant Earth's quality, delivery, and cost objectives., • Support adherence to responsible and traceable supply chain practices aligned with high standards of social and environmental responsibility. Qualifications • Graduate gemology degree preferred, • Industry experience in gems and diamonds required, • Proven experience with vendor management, supply chain operations, or production in a product, retail, or eCommerce environment., • Robust computer skills with a strong working knowledge of ERP systems and related software., • Experience with team management and the ability to support the growth of high-performing teams., • Strong organizational and problem-solving skills, with an ability to work efficiently in a fast-paced, start-up environment. What We Offer: • Career Growth. We want to see you sparkle! Through regular 1-1's with your manager, a variety of training opportunities, and an annual 360 review process for all employees, our leaders are dedicated to creating clear pathways for growth. Ask the hiring team for more information on how Brilliant Earth creates a culture of collaboration and growth during your interview conversations!, • Diverse, mission-minded team. We were founded to cultivate a more transparent, sustainable, compassionate, & inclusive jewelry industry. Learn more about our impact and team diversity Here!, • Lifestyle Spending Account. At Brilliant Earth, we're committed to your well-being. Enjoy company reimbursements for eligible wellness expenses, such as gym memberships, massage, counseling, and more!, • Continued Education. Company-sponsored learning in leadership, professional skills, diversity & inclusion, and access to tuition reimbursement for role-specific trainings., • Employee Discounts. As an employee at Brilliant Earth, you'll receive a generous discount on our jewelry., • Mental Wellness Perks. We offer access to mental health resources, such as self-care apps and seminars. Our Employee Assistance program offers 24/7 access to counseling!, • Giving Back and Volunteer Opportunities. In addition to our giving back programs, our teams support local initiatives and spend time together by volunteering., • Medical, Dental, and Vision. We offer multiple plans to choose from, including a $0 monthly premium option for employee health insurance and employer HSA contributions. Insurance kicks in on the first day of your 2nd month!, • 401k match. We know that saving for the future is important. That's why we offer a generous 401k match., • Paid Time Off. We know it's important to recharge and relax., • Parental Leave. We aim to support our growing families. Employees can utilize our paid parental leave to bond and care for their new additions., • Disability and Life insurance. 100% employer-paid., • Pre-Tax Commuter Benefits. How to Apply & What to Expect: Everyone at Brilliant Earth has a voice – we want to hear yours! If you are interested in growing with Brilliant Earth, send us a resume and cover letter letting us know why you are interested in joining our mission and our team. Please include a sentence about your favorite shape of diamond. You'll receive an email when we've received your application, and can expect an update within a week of applying. The interview process for this role includes a phone call with the recruiting team, an on-site interview with our VP, Product Operations and a conversation with our SVP, Customer Operations. #IND333 More About Us At Brilliant Earth, our mission is to cultivate a more transparent, sustainable, compassionate, & inclusive jewelry industry. We believe in creating jewelry you can feel good about wearing, without ever compromising between quality and conscience. We are hard-working team players that welcome challenges and rise to any occasion. Our community of collaboration, respect and encouragement is fostered by frequent team events, cross-departmental meetings and celebrating our wins, big and small. As one of the fastest growing e-commerce jewelers in the world, we're searching for bright and passionate people who are excited to make an impact from day one and grow with the company to take on greater responsibility over time. Brilliant Earth recognizes the value of diversity and inclusion on our team, as we work together to reinvent fine jewelry in a thoughtful and modern way. At Brilliant Earth, we celebrate each other – our successes, the lessons along the way, and the unique perspectives each individual brings to our team. It is our intent to maintain a work environment and hiring process which is free of harassment or discrimination because of sex, race, religion, color, national origin, physical or mental disability, genetic information, marital status, age, sexual orientation, gender identity, military service, veteran status, or any other status protected by Federal, State or local laws. We are committed to complying with all Federal, State and local laws providing Equal Employment Opportunities, and all other employment laws and regulations. When you apply for a job with Brilliant Earth, we process personal information about you. Please see our Privacy Policy for more information. Notice to Los Angeles, CA Applicants: Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to San Francisco, CA Applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for Employment qualified applicants with arrest and conviction records. Notice to Colorado Applicants: There is no application deadline. Applications will be accepted on a rolling basis. Notice to Philadelphia, PA Applicants: Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Philadelphia Fair Criminal Record Screening Standards. Any consideration of the background check will be an individualized assessment based on the Applicant or Employee's specific record and the duties and requirements of the specific job. Notice to Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Maryland Applicants: Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a lie detector or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100. If you need assistance or reasonable accommodation completing an application or at any stage of the interview process, please reach out to us at accommodations@brilliantearth.com.

Job Description Position Title: General Manager Salary: $120,000 to $125,000 Other Forms of Compensation: Bonus Founded in 2005 as Hudson Yards Catering, Union Square Events is a culinary and operations leader in the hospitality industry, partnering with a diverse portfolio of best-in-class clients. We produce one-of-a-kind catered events and unparalleled dining experiences in a variety of cultural, corporate, entertainment, and private venues throughout New York City and beyond. This position is eligible for an Employee Referral Bonus! If you know someone that is qualified for this role, please use the ‘job search’ in PeopleHub to refer your referral and email them a link to apply. Your referral will be able to apply by clicking the link in the email. You can check the status through your profile, accessible via Careers in PeopleHub, by clicking on ‘referral tracking.’ For Employee Referral guidelines, FAQs and the Compass Employee Referral Policy, email MyReferral@compass-usa.com. Job Summary Union Square Events and Canyon Museum is seeking an accomplished and hospitality-driven General Manager to lead the museum’s food and beverage operations across the restaurant, bar, events, and cafe. This is an opportunity to shape the food and beverage experience of a major cultural institution while working in partnership with a highly renowned James Beard Award winning chef. The Multi-Unit Restaurant General Manager. will lead the Front of House and Back of House operations and management team while working in close partnership with the Executive Chef and culinary leadership team, museum leadership, and key stakeholders. The role will help establish the operational foundation, service culture, and hospitality standards for Canyon Museum while ensuring that every aspect of the F&B program operates at the highest level. Key Responsibilities: Leadership & Team Development Lead and inspire the Food & Beverage management team and front-line staff to deliver exceptional guest experiences. Foster a culture of hospitality, accountability, inclusion, and continuous improvement. Recruit, hire, train, coach, and develop team members while creating clear growth opportunities. Partner with the Executive Chef and Assistant General Manager to align operations, service standards, and business objectives. Implement systems, processes, and training programs that support operational excellence and long-term success. Financial & Business Management Own the Food & Beverage P&L and present financial results to clients and leadership. Oversee financial performance of the restaurant, bar, café, and event operations. Develop budgets, forecasts, and operating plans while managing revenue, labor, food cost, inventory, and expenses. Analyze business trends to improve profitability, productivity, and guest satisfaction. Ensure accurate payroll, invoice processing, cash handling, reporting, and policy compliance. Guest Experience & Operations Oversee daily operations across all Food & Beverage outlets and experiences. Maintain luxury-level service standards and ensure quality in food, beverage, and hospitality delivery. Monitor guest feedback, reviews, and satisfaction metrics to drive continuous improvement. Build meaningful guest relationships and resolve concerns professionally and effectively. Maintain a visible leadership presence and actively support service execution. Technology, Events & CRM Oversee reservation, POS, CRM, event, and reporting platforms to maximize operational effectiveness. Utilize guest data and CRM tools to enhance personalization, loyalty, and repeat visitation. Support event operations by partnering with event teams on bookings, BEO execution, and cross-functional communication. Ensure all team members are trained on data collection, guest preferences, and reservation management best practices. Compliance & Safety Ensure compliance with all food safety, alcohol service, labor, licensing, and regulatory requirements. Maintain operational standards, preventative maintenance programs, sanitation procedures, and HACCP compliance. Partner with culinary and operations leaders to prepare for inspections and audits. Promote a culture of safety, cleanliness, and shared accountability. What you bring Qualifications: 10+ years of progressive hospitality leadership experience. 7+ years leading multi-functional teams in restaurants, bars, events, or luxury hospitality environments. 2-3 years of Director-level and/or multi-unit management experience preferred. Strong background in fine dining, luxury hospitality, private clubs, cultural institutions, or upscale hotels. Experience opening, launching, or transforming hospitality operations is highly desirable. New York City hospitality experience preferred. Leadership & Business Acumen Proven ability to lead, develop, and retain high-performing teams. Strong communication, relationship-building, and stakeholder management skills. Expertise in budgeting, forecasting, labor management, cost controls, inventory, and P&L oversight. Knowledge of restaurant technology, POS systems, reservations, CRM, inventory, and event management platforms. Ability to create scalable SOPs, training programs, and operational systems. Guest Focus Passion for delivering exceptional hospitality and creating memorable guest experiences. Strong customer service, problem-solving, and decision-making abilities. Ability to thrive in a fast-paced, high-volume environment while maintaining attention to detail. Schedule Flexible availability, including evenings, weekends, holidays, and special events. Apply to Union Square Events today! Union Square Events is a member of Compass Group USA Click here to Learn More about the Compass Story Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. Certain positions may require Florida Level 2 background screening. Details: https://info.flclearinghouse.com/ Associates at Union Square Events are offered many fantastic benefits. • Medical, • Dental, • Vision, • Life Insurance/ AD, • Disability Insurance, • Retirement Plan, • Paid Time Off, • Paid Parental Leave, • Holiday Time Off (varies by site/state), • Personal Leave, • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs) Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyRA.pdf Applications are accepted on an ongoing basis. Union Square Events maintains a drug-free workplace. Req ID: 1578648 Union Square Events Gina Barbish [[req_classification]]

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Title: Outreach Executive Company: Oak Street Health Role Description: The Outreach Executive (OE) is responsible for developing relationships with members of the community to engage Medicare seniors with Oak Street Health. Outreach Executives should be engaging Medicare seniors with the goal of having those individuals become patients of Oak Street Health. Outreach Executives will work very closely with their Outreach Managers, Outreach Directors, and Community Relationship Managers to help drive new patient growth locally in their assigned territory. Core Responsibilities: • Sales, • Generating leads by effectively engaging Medicare senior community through event execution and local community outreach, • Maintaining internal sales system knowledge and marketing programs by attending scheduled meetings to learn about new updates on services, workstreams, and initiatives, • Prospecting and cold calling to prospects & new leads assigned to you. Additional new channels of leads that are assigned to you may come from:, • Leads driven through Digital channels, • Leads generated by other Outreach Executives, • Nurturing prospective patients and prospect for new patients with an ambitious mentality via email, phone, and networking, • Collaborating with your Community Relationship Manager (CRM), other OEs, and your Outreach Manager/Outreach Director to drive lead generation with local community members or Insurance Agents (IAs), • Relationship Management, • Maintaining consistent touchpoints with prospects to continuously engage prospects to drive new patient growth in assigned territory, • Capture and record customer information and sales activity into customer relationship management (CRM) system and other business systems, • Acting as point of contact for both the clinical team/center team if center staff have any questions about the patient, • Resolving any concerns & complaints new prospects & patients may have about Oak Street Health by working with prospect to understand the concern or directing the prospect or patient to another Oak Street employee, • Other duties as assigned What we're looking for: • Ability to quickly connect and influence the right people, • Comfortable with navigating external barriers to create a positive experience, • Ability to manage priorities simultaneously, • Team player and contributor to the overall effectiveness of the team, • Sales and/or healthcare experience a plus, • Fluency in Spanish, Polish, Russian, or other languages spoken by people in the communities we serve (where necessary), • US work authorization Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $18.50 - $42.35 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on _. We anticipate the application window for this opening will close on: 01/04/2027 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Position Overview: A successful Seasonal Retail Store Associate will strive to go for WOW! Go for WOW! is the standard of customer service at Duluth Trading Company. It is treating the customer right and looking for opportunities to go above and beyond to create special experiences. Position Details: What You’ll Do: • Develop an exceptional familiarity with the Duluth brand and comprehensive product knowledge to provide solution-oriented, friendly service to customers. Understand the customer is the center of what we do., • Understand how to layer personalized service into each area of interaction from greeting to fitting room to register., • Effectively communicate sales and promotions., • Understand the importance of email capture as part of sales and service and executes to standard., • Respond proactively and be empowered to provide positive resolutions to customer concerns., • Answer telephone in a courteous and friendly manner including, but not limited to, giving store greetings, directions to store location, and receiving and filling customer orders., • Assist in receiving, processing and replenishing merchandise., • Maintain merchandising, presentation and display standards. Ensure the sales floor is customer ready., • Ensure company standards for cleanliness for the sales floor, stockroom, restrooms, cash wrap and hospitality area., • Accurately and efficiently process all register transactions., • Adhere to all company policies, procedures and practices., • Perform any other duties as directed by management. What We’re Looking For: • High school diploma or equivalent., • Retail experience is preferred but not necessary., • Customer Centric., • Takes pride in a job well done and shows ownership in the store., • Operates with integrity and trust., • Excellent communicator and listener., • Collaborates and functions as part of a team., • Performs other duties as directed., • Authorized to work in the United States without sponsorship. Environmental Factors: • Must be able to stand or walk for up to eight hours a day., • Frequent reaching and bending and twisting – below waist and above shoulders., • Frequently required to use repetitive hand-to-finger motions and reach with hands and arms., • Frequently lifting up to twenty pounds, occasionally lifting up to 40 pounds. Push/pull up to 20 lbs., • Ability to climb ladders, reach and bend., • Work in temperatures ranging from 50 - 85 degrees – especially in our stock room areas., • Use of a computer up to 60 % of the time throughout the day. Position Benefits and Perks Our pursuit of a better way isn't just about our products—it's about our people too. That's why our Dam Good Crew enjoys a comprehensive benefits package, designed to support their well-being and success. Daily pay available 40% Employee Discount Eligible to participate in the 401(k) Plan Flexible Scheduling Position Compensation Outline Compensation: $16.00 to $16.50/hour Compensation listed is for this specific location and is based on several factors, including location, experience, and qualifications. Benefits and perks may have eligibility requirements and are subject to change. The responsibilities outlined in this position description are a guideline for the general duties of the position and are not exhaustive of all duties inherent in the job. Duluth Trading Company is an Equal Opportunity Employer. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. About Duluth Trading Company: Started in 1989, Duluth Trading Company exists to enable hard-working individuals to take on life with their own two hands. Folks that revel in doing it the hard way and celebrate finding a better way. We seek talented individuals who share these beliefs and are excited to further the Duluth Trading legacy with a digital-first mindset, always moving forward and always innovating. From ingenious Duluth workwear, to comfortably capable Buck Naked Underwear, to outside-embracing AKHG, it’s all about the innovative gear and gadgets that equip customers for a more hands-on way of life. Top-notch quality, immersive storytelling, outstanding customer service, and the shared belief that the go-all-in-and-dig-deep spirit exists with everyone are what sets Duluth Trading Co. apart. We seek talented folks looking to be part of a can-do team that’s hellbent on helping the world to gear up, get its hands dirty, and do.

Lead, User Intelligence Research\n \n \n Lead, User Intelligence Research \n \n Manager (Individual contributor) delivering User Intelligence Research to support select product areas within a tower/domain \n \n This is a Hybrid position, 3 days/wk onsite. \n \n Summary: \n Capital One’s Experience Design (XD) organization is focused on co-creating memorable, meaningful customer and associate experiences that build our brand with humanity and drive business advantage. As the User Intelligence Research Lead for your product areas, you will be responsible for accelerating learning velocity by supporting a structured, systems-oriented human intelligence system. \n You will execute the Research organization’s vision: shifting from discrete, episodic UX studies to structured, connected research efforts to build cumulative user intelligence. You will plan and conduct research studies, utilize AI agents/skills, and enable human access platforms to support discovery, rapid testing, and assessment of user experiences. This is a high-level individual contributor role that requires a mastery of project leadership, technical fluency, business acumen, and the ability to produce actionable insights and encourage activation to ensure the development of useful and usable experiences. \n \n Responsibilities: \n\n • \n Build Cumulative User Intelligence: Plan and conduct connected studies and establish data acquisition mechanisms that contribute to a collective body of user intelligence that fuels product teams’ ongoing planning and decision-making. \n • \n Provide rapid testing within the product development lifecycle: Utilize and evolve research agents and research platforms to accelerate learning velocity: extracting insights from existing intelligence repositories, conducting rapid discovery, concept, content, and usability testing. \n • \n Support Continuous Discovery: Partner with research ops to enable product teams to access their users to maximize empathy and understanding. \n • \n Support UX Measurement: Partner with CX, data scientists, analysts, and designers to identify domain-specific UX metrics. Assist in developing mechanisms to collect/measure UX metrics, conduct analysis using UX and other metrics to identify critical correlations between user behavior and business success. \n • \n Conduct Data Triangulation & Synthesis: Utilize behavioral analytics, quantitative data, and qualitative insights to produce actionable insights. \n\n \n Leadership Competencies \n\n • \n Results Focus: Works independently to achieve business-critical outcomes; takes full ownership of the intelligence research learning agenda and decision-making. \n • \n Influence: Acts as a subject matter expert to inspire teams to adopt research methodologies and activate insights. \n • \n Collaboration: Builds productive partnerships with Analysts, Design, Product, and Engineering; seeks out diverse data sources to ensure a holistic view of the customer. \n • \n Communication: Translates complex data and behavioral findings into compelling narratives for senior stakeholders; ensures clarity in two-way dialogue across functions. \n\n \n Basic Qualifications: \n\n • \n At least 3 years of professional experience in User Experience Research, Data Science, or Customer Experience Research \n • \n At least 3 years of experience aggregating, collecting, and analyzing quantitative and qualitative data \n • \n At least 2 years of experience leading complex, multi-stakeholder projects or research programs \n\n \n Preferred Qualifications: \n\n • \n 4+ years of experience in User Intelligence, Human Factors, or behavioral data analysis. \n • \n Experience conducting structured, quantitative jobs to be done studies \n • \n Experience building automated research workflows \n • \n Proven track record of triangulating multiple data sources (behavioral analytics, survey data, and primary research) to inform product roadmaps. \n • \n Advanced degree in Human Factors, HCI, Statistics, Data Science, or Behavioral Economics. \n\n \n \n At this time, Capital One will not sponsor a new applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $164,800 - $188,100 for Manager, Design\n \n New York, NY: $179,700 - $205,100 for Manager, Design\n \n Richmond, VA: $149,800 - $171,000 for Manager, Design\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Family: Software Development & Support\n Travel Required: Up to 75%+\n Clearance Required: None\n \n \n\n What You Will Do: \n \n • \n Lead solution architecture, technical strategy, and modernization planning activities for a major utility organization. \n • \n Assess current-state applications, integrations, databases, and infrastructure to identify modernization opportunities, technical debt, and architectural risks. \n • \n Develop target-state architecture blueprints, technical roadmaps, and implementation strategies aligned with business and technology objectives. \n • \n Define application, integration, data, and cloud architecture patterns to support scalable and sustainable future-state solutions. \n • \n Lead architecture workshops, technical discovery sessions, and design reviews with client stakeholders, business teams, and delivery organizations. \n • \n Develop architecture artifacts, including system diagrams, integration designs, data flow models, technical specifications, and decision records. \n • \n Provide technical leadership and governance throughout the planning and design phase while establishing standards for future implementation activities. \n • \n Partner with data, application, and infrastructure teams to define modernization approaches for legacy systems and complex utility data environments. \n • \n Design and review API, event-driven, messaging, and batch-processing integration strategies. \n • \n Collaborate with client and project leadership to identify risks, dependencies, and implementation considerations that may impact successful delivery. \n • \n Support transition from planning and design into implementation activities anticipated throughout 2027. \n • \n Present recommendations, findings, and architectural decisions to executive and technical stakeholders. \n \n What You Will Need: \n \n • \n Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. Additional relevant experience may be considered in lieu of a degree. \n • \n Minimum ten (10) years of experience in Solution Architecture, Enterprise Architecture, Application Modernization, or related technical leadership roles. \n • \n Minimum five (5) years of experience leading large-scale enterprise application modernization or digital transformation initiatives. \n • \n Demonstrated utility industry experience supporting electric, gas, water, or energy organizations. \n • \n Experience developing enterprise application, integration, and cloud architecture strategies. \n • \n Strong experience with Microsoft .NET/C# application architectures. \n • \n Experience designing REST and SOAP services and enterprise integration solutions. \n • \n Experience with Angular-based application architectures. \n • \n Experience with SQL Server and relational database design, optimization, and performance tuning. \n • \n Hands-on experience designing and architecting solutions utilizing Databricks. \n • \n Experience with Microsoft Azure cloud services and cloud architecture best practices. \n • \n Knowledge of event-driven architectures, message queuing technologies, and integration frameworks. \n • \n Demonstrated ability to facilitate architecture workshops and communicate effectively with both technical and executive audiences. \n • \n Strong written and verbal communication skills, including technical documentation and presentation development. \n • \n Ability and willingness to travel to New York City approximately every other week for 2–3 days per trip (unless based in New York City). \n • \n \n \n What Would Be Nice To Have: \n \n • \n Experience supporting utility customer, billing, meter, usage, asset management, or operational systems. \n • \n Experience with cloud architecture in Google Cloud Platform (GCP). \n • \n Experience designing large-scale data migration, transformation, and analytics solutions. \n • \n Experience developing modernization roadmaps for legacy application portfolios. \n • \n Familiarity with Azure DevOps, CI/CD pipelines, and DevSecOps practices. \n • \n Experience with enterprise architecture frameworks and governance processes. \n • \n Experience working in consulting environments supporting large-scale technology transformation programs. \n • \n Experience leading architecture review boards, governance committees, and technical steering groups. \n • \n Knowledge of utility regulatory requirements and operational considerations. \n • \n Experience supporting both strategy/design and implementation phases of modernization programs. \n \n \n\n\n \n \n\n \n The annual salary range for this position is $162,000.00-$270,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.\n What We Offer: \n Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. \n \n Benefits include: \n\n • \n Medical, Rx, Dental & Vision Insurance \n • \n Personal and Family Sick Time & Company Paid Holidays \n • \n Parental Leave \n • \n 401(k) Retirement Plan \n • \n Group Term Life and Travel Assistance \n • \n Voluntary Life and AD&D Insurance \n • \n Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts \n • \n Transit and Parking Commuter Benefits \n • \n Short-Term & Long-Term Disability \n • \n Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities \n • \n Employee Referral Program \n • \n Corporate Sponsored Events & Community Outreach \n • \n Care.com annual membership \n • \n Employee Assistance Program \n • \n Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) \n • \n Position may be eligible for a discretionary variable incentive bonus \n\n \n About Guidehouse \n Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. \n \n Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. \n \n If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. \n \n All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. \n \n If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. \n \n Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

At UniFirst, we Always Deliver—for our customers and our people. As a Route Service Representative (RSR), you’ll be the face of UniFirst to our customers, building strong relationships and ensuring their needs are met with reliability, professionalism, and care. This is a dynamic role for someone who enjoys being on the move, engaging with customers, and taking ownership of their route. You’ll manage deliveries and pickups, grow your customer accounts, and work independently while representing a company with a strong culture and a nationwide presence. If you’re customer-focused, motivated, and ready to thrive in a field-based service role, this could be your next great opportunity. What Your Role Entails: • Manage an Assigned Route: Serve as the primary point of contact for customers, delivering and picking garments and products daily., • Support Daily Operations: Assist our service team by loading and unloading route trucks, ensuring each day begins with accuracy and efficiency., • Deliver Consistent, Reliable Service: Ensure on-time, accurate deliveries and returns while maintaining strong customer satisfaction., • Grow Customer Relationships: Build rapport with customers, address service needs, and introduce new garments and products to enhance their experience., • Drive Sales Growth: Identify upselling opportunities and grow your route, increasing your earning potential., • Represent UniFirst on the Road: Operate a company walk-in truck along designated routes, delivering exceptional service, prioritizing safety at all times, and reinforcing strong customer relationships., • Engage in a Physically Active Role: Work across both indoor and outdoor environments that require energy, attention to detail, and a commitment to safety., • Contribute to Service Excellence: Troubleshoot service issues, manage inventory, and ensure compliance with safety standards., • Maintain a Predictable Schedule: Monday–Friday daytime hours with no nights, weekends – servicing the same route and customers each week to build consistency and trust. Core Competencies • Customer-Centric Mindset & Relationship Building: You consistently deliver outstanding service that exceeds expectations, building lasting trust with every customer on your route. You understand that each interaction is an opportunity to strengthen relationships and grow business., • Time Management, Route Efficiency & Safety Awareness: You manage your route with precision, balancing timely deliveries and pickups with safe driving practices. You maintain a consistent schedule, handle unexpected challenges with ease, and ensure each stop receives the same level of quality service and care., • Dependability, Problem-Solving & Professional Communication: You take ownership of your responsibilities, showing up prepared, following through on commitments, and representing UniFirst with professionalism. You communicate effectively with customers and internal teams, quickly addressing needs or concerns, and finding solutions that support both service excellence and business growth., • Sales & Upselling Mindset: You identify opportunities to introduce new garments, products and services that benefit the customer, driving additional revenue while enhancing the value you provide. You approach upselling as a way to strengthen customer relationships, ensuring their needs are met with the right solutions at the right time. Why You’ll Enjoy This Role • Consistent Customer Connections: Service the same set of customers on your dedicated route, building trust and strong, long-term relationships., • Earning from Day One: This is a commissioned role from your first day in the field, with your income growing as you expand and upsell your route., • Make a Direct Impact: Be the face of UniFirst for your customers—delivering great service, resolving issues, and helping their businesses succeed. Qualifications What You Bring to UniFirst • Driver’s License & Safe Driving Record: Must be at least 21 years old with a valid driver’s license, a clean driving record, and reliable transportation., • DOT Compliance: Meet all Department of Transportation (DOT) requirements, including a physical exam., • Educational Requirements: High school diploma, GED, or military service required., • Strong Customer Service Skills: Ability to work independently while maintaining a team-oriented mindset and providing excellent customer service., • Relevant Experience: Prior experience in customer service, route sales, or delivery, roles is a plus!, • Tech-Savvy: Comfortable using and learning new technologies to enhance operational efficiency and improve customer experience., • Physical Stamina: Capable of lifting, carrying, and pushing up to 50 lbs., with the ability to remain on your feet for extended periods. You Will Benefit From: • Competitive Compensation: Competitive wages, 401(k) with company match, profit sharing, health and life insurance, paid time off, employee discounts, tuition reimbursement, and more., • Training & Development: Formal training through our SCP program to set you up for success as an RSR, • Career Development: Continuous training and growth opportunities, • Company Culture: A supportive and inclusive workplace rooted in a strong sense of community, • Stability & Work-Life Balance: Monday–Friday daytime schedule, no nights or weekends, • Inclusive Culture: A diverse and inclusive work environment that values a variety of backgrounds and perspectives. The estimated weekly base compensation for this position is $1,000.00 weekly guaranteed pay with additional earned commissions. Additionally, geographic differentials may apply based on the location where the position is ultimately filled, which could affect the final compensation. Please note that there is no application deadline for this role, and the recruitment process will continue until the position is filled. Join UniFirst for a Rewarding Career At UniFirst, you'll find opportunities for advancement in a supportive and diverse environment. If you're ready to take on a dynamic, customer-focused role with plenty of room for growth, we’d love to hear from you! About UniFirst UniFirst is an international leader in the $18 billion-dollar garment services industry. We currently employ over 16,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws. If you require an accommodation during any part of the application process due to a disability or medical condition, please contact us by email at or through our EthicsFirst portal at UniFirst.ethicspoint.com. You may also call the EthicsFirst Hotline at to let us know the nature of your request. UniFirst Recruiters and/or representatives will not ask job seekers to provide personal financial information when submitting a job application. Please be vigilant as such requests for information may be fraudulent.

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

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and 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 love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Applied Researcher 5\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The 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. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Agency Closing Officer, Senior Manager\n \n \n The Senior Agency Closing Officer will have a keen understanding of Agency requirements as it relates to closing loans, and a good understanding of crossover relationships between Originations, Underwriting, Closing, Servicing and Asset Management. Responsible for operating with autonomy and limited supervision in performing activities related to overseeing and managing the operational aspects of Fannie Mae and Freddie Mac multifamily mortgage loan closings. Able to analyze issues and process information for sound decision making. Must be able to handle the pressure of a busy mortgage finance company and independently meet strict corporate and GSE regulatory deadlines while maintaining a high quality of service. Must have superior customer service skills, be detail oriented, self‐motivated and a strong team player. \n \n Responsibilities: \n\n • \n Maintain close communication with customers, originators, third party vendors and underwriters to ensure proper and timely settlement. \n\n\n • \n Guide deal team (Analyst and Coordinator) through transaction specific matters for timely and accurate completion. \n • \n Advanced communication skills to express thoughts on complex matters to ensure an accurate understanding is received resulting in positive collaboration. \n\n\n • \n Send clearly stated written requests or clear and concise verbal communications with customers, attorneys and other third parties to obtain additional information as needed. \n\n\n • \n Independently comprehend and assess new information received regarding investor and underwriting guidelines, and able to offer input as to handling of such information, company policies, processing procedures, etc. \n\n\n • \n Independently troubleshoot inconsistent information to ensure accurate information is utilized. \n • \n Ability to independently analyze complex information in order to perform real estate tax and insurance escrow analysis for closing. \n • \n Review title requirements for state specific mortgage attachments and /or state mortgage tax requirements. \n • \n Collaborate closely with Underwriting and Legal to work through transaction specific issues and be able to independently think through and offer solutions when problems arise. \n • \n Work with insurance analyst to ensure borrower obtains required insurance coverage (casualty,liability, flood, wind, etc.) \n\n\n • \n Meticulous with work product review to spot incorrect information in work products. \n • \n Gather and prepare information for completion of closing documents including 3rd party fees, payoffs and subordinations \n • \n Verify underwriting and funding conditions are signed off prior to settlement. \n • \n Confirm loan information in all Enterprise and GSE delivery systems/portals are accurate. \n • \n Review and work with closing counsel in the preparation and delivery of closing documents. \n • \n Review final settlement statement and Disbursement Ledger for accuracy and compliance, including the verification of seller and lender credits, funds on deposit, and payoff of debt (if applicable). \n • \n Follow up with a closing/escrow agent to verify settlement of loan, disbursement of funds and advise of any problems or concerns. \n • \n Meet established productivity levels and turnaround times as set by the Manager and be able to effectively communicate reasoning when expectations need to be revised. \n • \n Sharp understanding of Agency requirements and Closing process to ensure a high level of Quality Control. \n\n \n Basic Qualifications: \n\n • \n At least 4 years Agency Commercial Mortgage loan closing experience \n\n \n Preferred Qualifications: \n\n • \n Bachelor’s degree or Military experience \n\n\n • \n At least 5+ years of Agency Commercial Mortgage loan closing experience \n • \n At least 5+ years of Affordable Multifamily Products closing experience \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Jericho, NY: $178,800 - $204,100 for Agency Loan Admin Supervisor II\n \n McLean, VA: $163,900 - $187,100 for Agency Loan Admin Supervisor II\n \n New York, NY: $178,800 - $204,100 for Agency Loan Admin Supervisor II\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The 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. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Applied Researcher 5 (AI Foundations: Evaluation and Agentic Workflows)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The 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. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes \n, • Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and 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 love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Who We Are: CAMBA is a community of staff, volunteers, clients, donors, neighbors and partners who work together to build an inclusive New York City, where all children and adults have access to the resources and supports they need to thrive. We take a comprehensive approach by offering more than 180 integrated programs in: Education & Youth Development, Family Support, Job Training & Employment Support Services, Health, Housing, and Legal Services. We reach more than 72,000 individuals and families each year at our 100 locations, including 10,000 youth. CAMBA serves a diverse cross section of New Yorkers from new mothers in Brownsville to job seekers in the Rockaways. More than half of our clients are immigrants and refugees from around the globe. Over 85% of our families live in poverty, reflecting the challenges faced by nearly 1.7 million New Yorkers today. Program Overview Education & Youth Development Programs: CAMBA operates more than 20 after school and summer camp programs in New York City, serving over 10,000 elementary and middle school children. This programming includes supper and socialization; homework help; science, technology, engineering and math (STEM); literacy enrichment; recreation activities; conflict resolution; clubs; and community circle. Programs operate during the school year, in the summer, and on most school holidays. Position: Youth Facilitator I Reports To: Assistant Program Director Location: Van Dyke Cornerstone What The Youth Facilitator I Does: The Group Leader/ Youth Facilitator I supports the daily operations of the Community Resource Room by helping residents use computers, navigate online tools, and participate in basic digital activities. This is an entry-level role focused on supervision, customer service, and simple facilitation. The Group Leader helps keep the CRR organized, safe, and welcoming while assisting visitors with everyday digital tasks and workshops. • Practice Universal Precautions/Standard Protocol & Procedures., • Comply with all Federal, State, City, and CAMBA security and privacy policies to protect the confidentiality of individual health information., • Greet residents and monitor the CRR during open hours., • Help participants use computers, printers, and internet-based tools., • Assist with simple tasks such as email setup, online forms, job searches, or accessing benefits websites. • Provide guidance on basic digital literacy activities (typing, using browsers, saving documents, navigating common websites)., • Ensure all devices are handled safely and stored properly when the CRR is closed., • Follow procedures for locking up equipment such as computers, podcast tools, tablets, and printers., • Report any technical issues promptly., • Support small group activities or workshops led by CRR staff., • Encourage community members to participate in workshops and digital-learning activities., • Record daily sign-ins and usage data., • Track participation in activities and assist with simple reporting tasks., • Communicate equipment or space issues to supervisors., • Facilitate basic CRR activities such as resume support sessions, introductory technology tutorials, or guided digital exercises., • Lead simple digital-learning group activities that build comfort with everyday technology., • Help visitors use podcast equipment safely and appropriately, including microphones, recording tablets, and the audio mixer., • Provide basic guidance on how to start and stop recordings and organize files for simple podcast or video projects., • Offer patient, clear support to residents with varying levels of comfort with technology., • Maintain a clean, organized environment and follow opening/closing procedures., • Tasks may be modified, expanded, and/or assigned over time to meet program needs. Minimum Education/Experience Required: • High School Diploma and one year of experience working in community-based programming Other Requirements: • Comfortable using computers, web browsers, email, and common online tools., • Ability to help others understand basic digital tasks., • Strong communication and customer service skills., • Reliable, organized, and able to maintain a welcoming and calm environment., • Experience working or volunteering with community members, youth, or adults is helpful but not required., • Interest in technology, digital learning, or media tools preferred. Pre-employment Requirements: • If off-site or school-based, may require: Dept. of Health, Dept. of Education fingerprint clearance; doctor's note certifying good health; NYS Division of Criminal Justice Services Sex Offender Registry clearance Compensation: $20.60 hourly Status: Part-time Benefits: CAMBA offers a comprehensive benefits package including health insurance, dental insurance, 403(b) retirement plan with employer match, paid time off (vacation, personal, and sick time), and paid holidays. CAMBA is an Equal Opportunity Employer. We value a diverse workforce and inclusive workplace. People of color, people with disabilities, and lesbian, gay, bisexual, and transgender people are encouraged to apply. We consider all applicants without regard to race, color, religion, creed, gender, gender identity, gender expression, national origin, age, disability, socio-economic status, marital or veteran status, pregnancy status or sexual orientation. Powered by JazzHR wDiSs9azFC

Job Description The salary range is based on several factors, including, but not limited to, overall experience, relevant experience, education level, certifications, applicable skills, and expertise. Locations with Opportunities: George Washington Bridge, John F. Kennedy, LaGuardia Airport, Port Authority Bus Terminal and Path Terminal. Join UP! We are lighting the path home, one person at a time. About Urban Pathways Since 1975, Urban Pathways has engaged New York City’s most vulnerable residents, people on the streets or in areas unfit for human habitation, “lighting the path home, one person at a time.” Urban Pathways is a catalyst for transformative change in the lives of unhoused adults, empowering them to discover their inherent strengths and abilities. We provide essential support and foster an environment where individuals can redefine their narratives and become their best selves. Job Summary Reporting to the Director of Social Services/Social Services Supervisor, the Case Aide works closely with the social services team to support the provision of case management services for assigned clients. The Case Aide will be an active listener and provide high-quality customer service and respond by exhibiting cross-cultural awareness with the ability to promote and contribute to an equitable and inclusive anti-racist organizational culture and environment. Key Responsibilities & Essential Functions Program/Facilities • Conducts client intakes and updates information in client database system(s)., • Screens clients for referral and case management services., • Screens client arrivals to identify immediate needs, provides services and/or makes appropriate referrals as necessary., • Organizes, maintains and prepares client charts for intake and discharge., • Handles caseload in the absence of the Case Manager as mandated by program., • Conducts homeless outreach and assesses client needs., • Documents client activities and updates client information in database system(s)., • Escorts clients to all appointments, as needed, including but not limited to:, • Medical, housing, and entitlement appointments., • Daily respite sites as mandated by program., • Performs front-desk duties including answering phones, screening visitors, maintaining logbook, and mail distribution., • Assists in monitoring client medication as required., • Facilitates client groups as needed., • Organizes and distributes clothing donations to clients as mandated by program., • Conducts unit inspections as mandated by program. Administrative • Completes and submits all necessary documentation and reports accurately in a timely manner and as required by Urban Pathways, regulatory and funding agency policies and procedures. Community Relations • Represent Urban Pathways and respond to inquiries as needed., • Develops and maintains relationships with community services and resources. Communication • Communicates verbally and in writing in a professional manner at all times., • Attends staff meetings, trainings, and supervisory sessions, as required., • Responds to all communications including telephone, email and other oral and written inquiries in a timely manner. Performs all other duties as assigned and as required. Qualifications, Education & Experience • High school diploma or GED required. Associate’s degree preferred., • Experience with homeless, individuals with mental health conditions and substance abuse population preferred. Skills & Competencies • Computer skills and knowledge of Microsoft Office (e.g. Word, Outlook, etc.)., • Good written and verbal communication skills., • Foreign languages a plus. Other • Required to work a flexible schedule including weekends, holidays, and evenings. Licenses • Valid driver’s license with clean driving record a plus. Capabilities • All programs require field work, home visits, client escorts, and use of public transportation., • Ability to sit, stand, walk, bend, stoop, push, pull, lift (up to 25 lbs.), type, write, read, speak, see, and hear. Urban Pathways offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. These benefits include (eligible employees):

Applied Researcher 5 (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The 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. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5\n \n McLean, VA: $262,500 - $299,600 for Applied Researcher 5\n \n New York, NY: $286,400 - $326,800 for Applied Researcher 5\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

Part - Time Café Ambassador - SoHo\n \n The Role\n \n Do you find your purpose in empowering others? As a Café Ambassador, you are the face of Capital One’s mission to change banking for good. We’ve broken the mold of traditional banking—you won’t be found behind a teller line or a glass window. Instead, you’ll move throughout the Café, bridging the gap between digital innovation and human connection. \n In this role, you’ll act as a high-end service specialist and a guide to digital banking. You aren't just serving a community; you’re building one by bringing Capital One’s mission to life within a vibrant, modern community hub. \n \n What You’ll Actually Do \n \n\n • Be a Natural Connector: Proactively engage with guests in a high-energy environment that serves as both a community space and a local coffee shop. (Note: You are a banking guide, not a barista—you won’t be serving coffee!)\n, • Serve as a Brand Advocate: You’ll share the value of Capital One’s products and services through genuine conversation rather than transactions. Because we focus on the guest experience, this role is free from traditional sales goals or high-pressure tactics. Your success is measured by the quality of the connection, not a quota.\n, • Simplify the Complex: Guide customers through our digital ecosystem, helping them master mobile tools and troubleshooting tech challenges with ease.\n, • Facilitate Purposeful Impact: Host and support local events that promote financial health. You’ll act as a brand steward, working within the framework of Capital One’s established programs and strategic community partnerships to ensure our impact is professional, focused, and effective.\n, • Advocate & Problem-Solve: You’ll advocate for our customers, problem solve, and own issue resolution in alignment with compliance and regulatory requirements. Handling complaints and/or escalated situations is very important, and de-escalation may be a complex part of your role supporting our customers—we’ll ensure you’re supported with the tools, resources, and experience to ensure you’re up for the challenge!\n, • Act as a Culture Carrier: Foster a supportive, inclusive environment where every guest feels welcome. You’ll be a team player who possesses a strong attention to detail, a positive attitude, and the ability to be flexible and embrace change.\n, • Stay Agile & Engaged: This isn’t a traditional "behind-the-desk" banking role. You’ll be on the move and active throughout the day, moving through the Cafe to connect with the community and support the flow of the guest experience.\n\n \n Why Join Us? \n \n This isn't just a job—it’s work with a mission. Because we’ve removed the pressure of traditional sales quotas, you are free to focus on the depth of your impact on customers, teammates, and the community. We provide an inclusive environment where we invest in your confidence, service mindset, and professional growth. We ensure you have the tools to be stronger in your role and more effective in how you show up every day. \n \n The Perks \n \n We provide a comprehensive benefits package designed to fuel your journey. Whether you’re using our education assistance to prepare for your next career move, or taking advantage of our mental and physical health resources to stay at your best, we invest in you as a whole person. Our goal is to ensure that wherever your career takes you—within Capital One or into the wider world—you leave the Cafe stronger than when you started. \n \n\n • Day 1 coverage for Medical, Dental, Vision and Prescriptions, plus Flexible Spending Accounts, Life and Disability Insurance\n, • Paid Time Off\n, • Education Assistance\n, • Matching 401(k) contribution up to 7.5%\n, • Paid Parental Leave\n, • Mental Health support\n, • Back-up Child or Elder Care\n, • Fit check? Covered. We’ll hook you up with our signature Threads line—our treat\n, • Custom beverage while working\n, • And much more!\n\n \n Essential Functions (Included, but not limited to) \n \n\n • Support surrounding Cafés as needed within a 50 mile radius, with occasional opportunities to assist other locations in the broader Region.\n, • Available to work a flexible schedule, including nights, weekends, and holidays, with hours and days subject to change.\n, • While the company provides reasonable notice for permanent schedule changes in accordance with state and local laws, the ability to adapt to business-driven schedule adjustments is required.\n, • Applicants must be able to attend all required training sessions, which may occur on a schedule differing from the primary shift.\n, • Lifting up to 25 pounds and moving/standing for extended periods of time\n, • Regular and consistent attendance\n\n \n Basic Qualifications \n \n\n • High School Diploma, GED, or Equivalent Certification\n, • At least 1 year of Retail, Sales, or Customer Service experience\n\n \n Preferred Qualifications \n \n\n • Associate’s degree\n, • 2+ years of banking experience\n, • 2+ years of Retail or Customer-facing experience \n, • Proficient in G-Suite \n, • Strong written and oral communication skills \n\n \n Does this sound like the career move you’ve been looking for? Let’s build the future of banking together! \n \n After you apply \n You may be required to take an assessment. It takes about 35 minutes to complete. If you’re selected to move forward, one of our recruiters will reach out to tell you more about the role and answer your questions. \n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n New York, NY: $59,800 - $64,584 for Cafe Ambassador\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n \n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff Applied Researcher (Remote Eligible)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The 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. \n \n This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Define and steward novel research directions that expand the organization’s long-term scientific agenda, ensuring foundational discoveries translate into deployable capabilities\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n \n Capital One is open to hiring a Remote or Hybrid Employee for this opportunity. If the role is designated as Hybrid, you are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. If the role is designated as Remote, you are expected to adhere to Capital One's Remote Worker Expectations. \n \n Basic Qualifications: \n\n • PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 10 years of industrial NLP research experience\n, • Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n, • Has worked on an LLM (open source or commercial) that is currently available for use \n, • Demonstrated ability to guide the technical direction of a large-scale model training team \n, • Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens \n, • Experience with common training optimization frameworks (deep speed, nemo)\n \n, • Behavioral Models\n \n, • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)\n, • Member of technical leadership for model deployment for a very large user behavior model \n, • Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n, • Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems \n, • Experience with production real-time and streaming environments \n, • Contributions to common open source frameworks (pytorch-geometric, DGL) \n, • Proposed new methods for inference or representation learning on graphs or sequences \n, • Worked datasets with 100m+ users\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large language models \n, • 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n, • Experience deploying a fine-tuned large language model \n \n, • Data Preparation\n \n, • Numerous Publications studying tokenization, data quality, dataset curation, or labeling \n, • Leading contributions to one or more large open source corpus (1 Trillion + tokens) \n, • Core contributor to open source libraries for data quality, dataset curation, or labeling\n \n, • Demonstrated history of initiating and leading multi-year research programs that shaped the direction of AI or ML subfields (e.g., representation learning, foundation models, multimodal reasoning)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $306,300 - $349,500 for Staff Applied Researcher\n \n McLean, VA: $306,300 - $349,500 for Staff Applied Researcher\n \n New York, NY: $334,100 - $381,300 for Staff Applied Researcher\n \n San Francisco, CA: $334,100 - $381,300 for Staff Applied Researcher\n \n San Jose, CA: $334,100 - $381,300 for Staff Applied Researcher\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and 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 love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n 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 \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Applied Researcher 4 (AI Foundations: Recommendation Systems)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The 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. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n, • Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks\n, • Experience designing controlled experiments and documenting reproducibility results for internal or public research\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI)\n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The 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. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Collaborate with senior researchers to prepare internal tech reports or conference submissions summarizing novel methods or findings\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher 4\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher 4\n \n New York, NY: $238,600 - $272,300 for Applied Researcher 4\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Machine Learning Engineer 4 - Manager IC\n \n \n Do you love building and pioneering in the AI and 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 love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One—ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • 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\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging.\n, • 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization.\n, • 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus).\n, • 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Product Design Manager- Core Card Experiences\n \n \n At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We’re succeeding because they’re succeeding. \n \n Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we’re on a quest to change banking for good. \n \n We’re seeking a Product Design Lead to play a pivotal role on the Core Card Experiences team, shaping the tools millions of cardholders rely on to manage and grow their accounts. As a Manager level IC, you will own design strategy and delivery for multiple complex projects, coach junior designers, influence product roadmaps, and invest in design team culture and processes. This role is a great fit for someone who excels at moving from big-picture thinking to execution, champions a high bar for experience quality, and thrives in cross-disciplinary collaboration. \n \n Card is the largest revenue source for Capital One. However, many people don’t understand key concepts around credit, how to use it wisely and how to use it to build a better financial future. In this role, you will oversee the customer and associate facing experiences that help make our biggest business thrive. Role Expectations \n \n As a Product Designer, you’ll combine your craft expertise and leadership skills with an understanding of our customers and the business to co-create innovative solutions to complex problems and influence product strategy. \n \n Here are some of the expected competencies for this role: \n \n Product Design Expertise: Demonstrate a high degree of skill in product design, leveraging a variety of skills across interaction, visual and service design; in collaboration with cross-functional partners, inform the use of appropriate tools, platforms, frameworks and design systems and creates artifacts that may include journey maps, blueprints, high-fidelity designs and prototypes \n \n Leadership: Lead design projects, directing and delegating work for more junior team members and building strong partnerships with cross-functional stakeholders while also mentoring and helping to mature the overall product design practice at Capital One \n \n Human-Centered: Effectively navigate the needs of partners and stakeholders, leveraging critical-thinking skills that factor in data, research insights, scalability and tech constraints, while ensuring the team focuses on customer-centered solutions and inclusive design \n \n Business-Focused: Demonstrate proficiency with products and processes and apply relevant insights on customers, competitors and broader market trends to business challenges that shape a shared point of view for your team, partners and stakeholders \n \n Problem-Solving: Demonstrate a solid understanding of tech, data capabilities and emerging technologies and use this knowledge to inform your work and help your cross-functional team move faster and navigate technical limitations in service of the impactful solutions \n \n Collaboration: Leverage a rich network of partnerships across lines of business and the organization to foster collaboration and share solutions, incorporating cross-functional perspectives to bridge gaps in information and drive product strategy \n \n Communication: Present work across levels and job functions using a human-centered approach that integrates design frameworks, data and research insights to articulate a compelling point of view that influences strategic decision-making and direction at senior levels \n \n The ideal candidate has a strong portfolio demonstrating your leadership, process, results and impact. Basic Qualifications\n\n • \n At least 5 years of experience in a Product Design role \n • \n At least 5 years of experience in design and prototyping tools such as Figma \n\n \n Preferred Qualifications \n\n • \n At least 6 years of experience in a Product Design role \n • \n At least 6 years of experience in design and prototyping tools such as Figma \n • \n Experience working with and contributing to an established design system \n • \n Experience collaborating with product, tech and business partners \n • \n Experience leading design projects or teams \n • \n Experience working in heavily regulated, data heavy problem spaces \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $164,800 - $188,100 for Manager, Design\n \n New York, NY: $179,700 - $205,100 for Manager, Design\n \n Richmond, VA: $149,800 - $171,000 for Manager, Design\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Scientist - Credit Review\n \n \n Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. \n \n As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. \n \n Team Description \n In Capital One’s Credit Review Models, Data and Innovative solutions team, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. \n \n We partner with best-in-class data scientists, analysts, credit risk management experts, and engineers to innovate solutions that directly impact the company’s bottom line in a meaningful way. We do it all in a collaborative environment that values individual insight, encourages each associate to take on new responsibilities, promotes continuous learning, and rewards innovation. \n \n Role Description \n In this role, you will: \n\n • \n Leverage a broad stack of technologies, such as, Python, Conda, AWS, H2O, Spark, and more, to reveal the insights hidden within huge volumes of numeric and textual data \n • \n Build statistical and machine learning models to challenge the models in production \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals \n • \n Partner with a cross-functional team of data scientists, credit risk experts, and product managers to deliver a product customers love \n\n \n The Ideal Candidate is: \n\n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. \n • \n Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: \n \n • \n A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics \n • \n A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics \n • \n A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics \n \n • \n At least 1 year of experience leveraging open source programming languages for large scale data analysis \n • \n At least 1 year of experience working with machine learning \n • \n At least 1 year of experience utilizing relational databases \n\n \n Preferred Qualifications: \n\n • \n PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics \n • \n At least 4 years’ experience in Python, Scala, or R for large scale data analysis \n • \n At least 4 years’ experience with machine learning \n • \n At least 4 years’ experience with predictive modeling \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Charlotte, NC: $179,400 - $204,700 for Mgr, Data Science\n \n McLean, VA: $197,300 - $225,100 for Mgr, Data Science\n \n New York, NY: $215,200 - $245,600 for Mgr, Data Science\n \n Plano, TX: $179,400 - $204,700 for Mgr, Data Science\n \n Richmond, VA: $179,400 - $204,700 for Mgr, Data Science\n \n Riverwoods, IL: $179,400 - $204,700 for Mgr, Data Science\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Product Design\n \n \n At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We’re succeeding because they’re succeeding. \n \n Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we’re on a quest to change banking for good. \n \n We’re currently seeking a Senior Manager, Product Design to join our Experience Design organization. \n \n The Experience Design team at Capital One is at the forefront of enriching our customers’ digital and physical experiences and we are passionate about creating memorable, meaningful product experiences that build the Capital One brand with humanity and drive business advantage and innovation. We champion a thriving environment of collaboration, authenticity and healthy critique, in which we honor diversity of thought, create a culture of belonging, and elevate one another. If you’re a creative innovator who embraces an environment where you can experiment, learn, and change banking for good, we’d love to hear from you. \n Role Expectations\n As a Senior Manager of Product Design, you’ll combine your craft expertise and people leadership skills with an understanding of our customers and the business to co-create innovative solutions to complex problems, drive product strategy and create a thriving team culture of high performing designers. \n \n Here are some of the expected competencies for this role: \n \n Product Design Expertise: Demonstrate established expertise in product design, leveraging a variety of skills across interaction, visual and service design; in collaboration with cross-functional partners, help to oversee and optimize the use of appropriate tools, platforms, frameworks and design systems and work with your team to develop artifacts that may include vision stories, journey maps, blueprints, high-fidelity designs and prototypes \n \n Leadership: Reinforce a positive and inclusive team environment, set goals aligned to broader portfolio strategy, manage stakeholders, remove barriers and train and develop designers who are empowered to reach their potential and enabled to help the business to achieve its goals \n \n Strategic Direction: You'll shape product direction and outcomes by leveraging deep design expertise, user insights, and an understanding of the business. You'll drive alignment across product, tech, and business partners, ensuring user needs are central to our overall strategy and enabling bold, innovative solutions to complex problems. \n \n Human-Centered: Advocate for human-centered methodologies that align customer needs and business goals by applying data, research insights, design expertise and a mature perspective to problem-solving across the portfolio. \n \n Business-Focused: Demonstrate strong knowledge of products, processes, customers, competitors and broader market trends and use that knowledge to shape how Design should engage (i.e., actively managing the portfolio, pivoting, redirecting and broadening and narrowing scope, as needed) \n \n Problem-Solving: Own the problem-solving approach (issue, impact, resolution) and apply good judgment when exploring alternatives and balancing competing interests or priorities, leveraging leadership for input and alignment. Bring exceptional creativity to exploring a solution space. \n \n Collaboration: Engage partner expertise and perspectives from across the organization to support workstream projects and identify the people needed to move the work forward, embracing compromise to solve strategic challenges and deliver the best results \n \n Communication: Present work across levels and job functions, modeling a strategic human-centered approach that integrates design frameworks, data and research insights to make the complex accessible, influence stakeholders and achieve desired results \n \n The ideal candidate has a strong portfolio demonstrating your leadership, process, results and impact. \n Basic Qualifications\n\n • \n At least 6 years of experience in a Product Design role \n • \n At least 6 years of experience in design and prototyping tools such as Figma \n • \n At least 2 years of experience in a people leadership role \n\n \n Preferred Qualifications \n\n • \n At least 8 years of experience in a Product Design role \n • \n At least 8 years of experience in design and prototyping tools such as Figma \n • \n Experience working with and contributing to an established design system \n • \n Experience collaborating with product, tech and business leaders \n • \n Experience leading design projects or teams \n • \n Experience working in heavily regulated, data heavy problem spaces \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $200,700 - $229,100 for Sr. Manager, Design\n \n Richmond, VA: $182,500 - $208,300 for Sr. Manager, Design\n \n New York, NY: $219,000 - $249,900 for Sr. Manager, Design\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. \n \n About the Role: \n Get Data In (GDI) Integrations Content team at Next Gen-SIEM is responsible for building out of the box integrations for 3rd party products to ingest and parse data into SIEM platform. We are looking for a passionate Security Engineer with expertise in data ingestion and integration for SIEM. This role focuses on designing, developing, and maintaining out of the box data connectors for CrowdStrike Next-Gen SIEM, ensuring seamless ingestion of security data from various third-party products. \n \n The ideal candidate has hands-on experience in cybersecurity, data ingestion pipelines, log collection mechanisms, and security event processing. You should be well-versed in industry-standard data ingestion and integration methods and possess strong knowledge about security products and platform \n \n This role is hybrid, on-site at our NYC Office Location. Candidates should be comfortable visiting the office twice a week once the development center is established. \n \n What You'll Do: \n\n • \n Evaluate, develop, maintain, and enhance data connectors and parsers to ingest data from third-party security products into CrowdStrike Next-Gen SIEM \n • \n Set up and maintain a lab or test environment for security products to validate data connectors and troubleshoot issues \n • \n Troubleshoot and resolve issues with existing data connectors to ensure reliable log ingestion \n • \n Collaborate with internal teams to define efficient logging, error handling, data normalization and documentation for data connectors \n • \n Research and implement best practices for ingesting security logs from Firewalls, IDS/IPS, Cloud Security products, Endpoint Security, and other security products and platforms \n • \n Write and maintain high-quality technical documentation for integration methods and troubleshooting guides \n • \n Provide on-call support for critical data ingestion issues and production incidents \n • \n Work with customers, customer success and customer support teams to troubleshoot and resolve data ingestion-related issues and ensure effective communication \n\n \n What You'll Need: \n\n • \n Bachelor’s or Master’s degree in Computer Science or related field or equivalent work experience. \n • \n 6+ years of experience in cybersecurity and SIEM integrations \n • \n Experience in developing data connectors or ingestion pipelines for SIEM platforms such as Splunk, Sentinel, Exabeam, QRadar etc. \n • \n Experience in security data normalization schemas, parsing and data enrichment \n • \n Experience in setting up and managing environments for security products such as Firewalls, IDS/IPS, EDR, CASB, Identity Security, Email Security etc. \n • \n Experience with security events and its formats such as Syslog, CEF, LEEF, JSON, XML \n • \n Working knowledge of log processing or shipping tools such as Cribl, Splunk forwarder, Azure monitoring agent, LogScale log collector etc. \n • \n Working knowledge on cloud-native logging services such as AWS CloudWatch, Azure Monitor, or GCP Logging \n • \n Proficiency in at least one programming language, preferably Python or Go \n • \n Strong documentation, communication and customer interaction skills \n • \n Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. \n\n \n #LI-SS1 \n \n Benefits of Working at CrowdStrike: \n\n • \n Market leader in compensation and equity awards \n • \n Comprehensive physical and mental wellness programs \n • \n Competitive vacation and holidays for recharge \n • \n Paid parental and adoption leaves \n • \n Professional development opportunities for all employees regardless of level or role \n • \n Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections \n • \n Vibrant office culture with world class amenities \n • \n Great Place to Work Certified™ across the globe \n\n \n CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. \n \n CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. \n \n If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. \n \n Find out more about your rights as an applicant. \n \n CrowdStrike participates in the E-Verify program. \n \n Notice of E-Verify Participation \n Right to Work \n CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $120,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.\n \n For detailed information about the U.S. benefits package, please click here. \n \n \n