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The Opportunity As the Actuarial Director of Consolidated Reporting & Regulatory Oversight, you will lead consolidated actuarial valuation reporting across the enterprise, including quarter-end and year-end reporting. You will translate complex valuation results into clear, decision-useful insights for senior leaders across the CFO organization. You will also lead the annual asset adequacy testing process and establish a coordinated, enterprise-wide approach to monitoring, assessing, and implementing emerging actuarial regulations and professional guidance. In this highly visible role, you will help strengthen reporting discipline, regulatory readiness, governance, controls, and continuous improvement across the valuation function. Success in this role requires deep valuation expertise, an enterprise perspective, strong execution, and clear communication. You will anticipate reporting and regulatory developments, create accountability across complex cross-functional processes, and build scalable processes and controls that promote quality, timeliness, transparency, and continuous improvement. The Team You will join the Consolidated Reporting & Capabilities team within Corporate Actuarial and Business Analytics and report to the Head of Valuation Consolidated Reporting & Capabilities. The team partners closely with production valuation teams and stakeholders across Corporate Actuarial, Controllership, Forecasting, Legal & Compliance, Reinsurance, and Technology. Together, the team is focused on producing reliable enterprise-wide valuation reporting, strengthening governance and controls, and preparing the organization for evolving actuarial and regulatory requirements. The Impact • Lead the preparation, review, and delivery of quarterly and year-end consolidated valuation results, exhibits, disclosures, and actuarial reporting deliverables across applicable reporting bases., • Own the consolidated analysis of reserve movements, earnings impacts, assumption and model changes, experience variances, and other key drivers of financial results. Synthesize results across business lines and legal entities to identify emerging themes and risks and provide forward-looking insights to senior leadership., • Establish consistent valuation governance, documentation, controls, change management, and review standards. Partner with key stakeholders to align actuarial reporting with financial statements, management reporting, audit, and regulatory requirements., • Lead the annual asset adequacy and cash flow testing cycle, including planning, governance, production coordination, aggregation, review, and communication of results. Establish enterprise-wide timelines, deliverables, assumptions, methodologies, documentation expectations, review checkpoints, and quality standards., • Oversee the preparation of supporting documentation, management materials, regulatory submissions, audit support, and materials required by the Appointed Actuary. Lead post-cycle retrospectives and implement process, model, data, control, and documentation improvements., • Lead an enterprise-wide actuarial regulatory monitoring framework covering valuation, reserving, asset adequacy, capital, actuarial reporting, and related professional practice requirements. Coordinate technical impact assessments, maintain accountability for implementation activities, and represent the valuation organization in relevant internal and external working groups. The Minimum Qualifications • Bachelor’s degree in actuarial science, mathematics, statistics, finance, data science or closely related field., • Fellow of the Society of Actuaries, • 7+ years’ actuarial experience in valuation and reporting, • 5+ years’ experience working with valuation systems, • 3+ years’ exposure to valuation regulations and financial statements under US Statutory and GAAP reporting The Ideal Qualifications • 10+ years of actuarial experience in modeling, valuation, reporting, pricing, assumptions development, or risk management., • Expert knowledge of U.S. Statutory and GAAP financial reporting, including Principles-Based Reserving and GAAP Long Duration Targeted Improvements., • Experience leading complex actuarial valuation and reporting processes., • Deep knowledge of life insurance and annuity products, valuation techniques, regulations, and methodologies., • Experience data lake environments, and related reporting tools, • Experience with asset adequacy testing, cash flow testing, or actuarial projections., • Strong modeling, technical, analytical, and leadership capabilities., • Ability to translate complex technical information into clear, decision-useful insights., • Strong written and verbal communication skills., • Demonstrated ability to build and maintain relationships across cross-functional groups., • Continuous improvement mindset with a strong focus on governance, controls, and operational excellence. What You Can Expect at MassMutual MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect: • Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes., • A collaborative environment where perspectives are welcomed., • Access to learning, development, and internal networks that support continuous growth and skill-building over time., • Employee-led communities and forums that foster connection, learning, and inclusion across the organization., • A culture grounded in integrity, responsibility, and stewardship, supported by a company with a strong legacy and a future-focused mindset. MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Overview Provides clinical leadership to promote increased compliance with a range of quality and cost measures and standards of care. Manages service delivery of inter-professional and para-professional team members working on an individual case or population of cases. Acts as a key resource in providing clinical and operational guidance and support to assigned teams and other staff to achieve and enhance team outcomes. Provides advanced nursing clinical care for patients in accordance with current State and Federal rules and regulations for nurse practitioner's scope of practice and national standards of care. Works under the supervision of the Clinical Director for the Nurse Practitioner Program. What We Provide • Referral bonus opportunities, • Personal and financial wellness programs, • Opportunities for professional growth, career advancement and CEU credits What You Will Do • Manages and provides the full scope of advanced nursing practice for targeted patient populations, which may include short-term treatment of members at the point of care. Evaluates patient responses to therapy/interventions. Ensures revision of the inter-professional plan of care as necessary to achieve quality outcomes., • Serves as the clinical authority on individualized care teams and leads rounds and interdisciplinary care team meetings., • Manages and provides comprehensive, advanced nursing care, including post-discharge aftercare visits, annual comprehensive assessment visits, palliative care-care management program onboarding, and change in condition assessment visits (including physical examination, comprehensive history, screening for physical and/or psychological conditions, and point of care testing). Urgent interventions (i.e., escalations for the Care Teams, RPM, and the 24/7 Line), pharmacological and non-pharmacological interventions, ordering treatments and DME, preventative health maintenance activities, care management, referrals, discharge planning, counseling, and patient education. Establishes a treatment plan based on clinical findings and determines when further evaluation by the collaborating physician, specialist, or emergency care is warranted., • Collaborates with patients, families, primary care physicians and other team members to provide assessment and care planning., • Assesses, plans, and provides intensive and continuous care management across client settings., • Manages and provides clinical services in compliance with standards of Patient-Centered Medical Home standards, meaningful use of medical record data, HEDIS and QARR quality of care measurements., • Manages inter-professional team efforts regarding the medical, nursing, therapy and ancillary care provided to patients to ensure quality outcomes are achieved., • Participates in on call coverage schedule to ensure 24/7 access to practice clinicians., • Assesses, educates, and improves client and caregiver knowledge of chronic disease, self-care management, and identification of changes in health status, including appropriate responses and actions through individualized education and inter-professional interventions., • Observes and analyzes team performance patterns related to population under care and assists in developing interventions to improve team performance. Provides remedial support and guidance to interdisciplinary team members to address implementation/evaluation of plans that maintain/increase customer experience with care, cost-efficiency, and quality care compliance with regulatory standards., • Communicates with internal and external care partners regarding the needs of the patient or population to ensure interventions occur in a timely and appropriate manner. Intervenes as needed when the care plan is not executed and remediates the situation to prevent reoccurrence., • Performs procedures as outlined in collaborative practice agreement and as privileged by the Credentialing Committee., • Manages quality of medical record documentation and submits billing information in accordance with Professional Corporation policy., • Provides care in one or more care settings based on the clinical requirements: virtually, telephonically or travels to patients’ homes and/or other facilities with varying environments (e.g., elevated buildings, walk-ups, care facilities, single/multiple family homes, presence of pets, etc.) using approved transportation options., • Upon request, performs peer reviews of work performance, including quality of care, clinical documentation, coding and billing practices, communication skills, and population surveillance., • May participate in the VNS Health Medical Care at Home Quality and Professional Advisory Committee and any associated workgroups related to development of evidence based clinical models of care, peer education and training, quality improvement, medical record configuration and reporting, maximizing the use of clinical decision support systems., • May act as a preceptor for student Nurse Practitioners, providing excellent role modeling of community-based primary care practice., • Assumes responsibility for continued professional growth, and maintains professional certification and licensure., • Participates in special projects and performs other duties as assigned. Qualifications Licenses and Certifications: • License and current registration to practice as a Registered, • Professional Nurse in New York State required, • Certificate (license) and current registration to practice as a Nurse Practitioner in the State of New York, with a specialty in adult health, family health or gerontology required, • Valid driver's license, as determined by operational/regional needs may be required, • Maintains credentialed status with VNS Health Medical Care at Home and associated managed care plans required, • Maintains NPI, Medicaid and Medicare provider numbers preferred, • Maintains a collaborative practice agreement with a physician in compliance with New York State regulations preferred, • Must be certified by ANCC or another accrediting Nurse Practitioner body – in order to bill Medicare and meet credentialing requirements required Education: • Master's Degree of Science in Nursing, or other graduate degree from a nurse practitioner educational program registered by the New York State Education Department as qualifying for NP certification (licensure) required, • Current ANCC or AANP certification as an adult, family or geriatric nurse practitioner required Work Experience: • Minimum of two years of experience as a nurse practitioner utilizing full scope of practice preferred, • Clinical home care experience or two years managerial experience preferred, • Demonstrated knowledge of Hedis and QARR quality measures, ICD-10 and CPT coding for reimbursement of services required, • Bilingual skills, as determined by operational needs required Pay Range USD $58.30 - USD $77.72 /Hr. About Us VNS Health has been committed to meeting the needs of New Yorkers for over 130 years. We’re one of the largest nonprofit home- and community-based health care organizations in the country, and today, more than 11,500 team members work together to make a difference in the lives of more than 99,000 patients and members on any given day.

Overview Provides clinical leadership to promote increased compliance with a range of quality and cost measures and standards of care. Manages service delivery of inter-professional and para-professional team members working on an individual case or population of cases. Acts as a key resource in providing clinical and operational guidance and support to assigned teams and other staff to achieve and enhance team outcomes. Provides advanced nursing clinical care for patients in accordance with current State and Federal rules and regulations for nurse practitioner's scope of practice and national standards of care. Works under the supervision of the Clinical Director for the Nurse Practitioner Program. What We Provide • Referral bonus opportunities, • Generous paid time off (PTO), starting at 30 days of paid time off and 9 company holidays, • Health insurance plan for you and your loved ones, Medical, Dental, Vision, Life and Disability, • Employer-matched retirement saving funds, • Personal and financial wellness programs, • Pre-tax flexible spending accounts (FSAs) for healthcare and dependent care, • Generous tuition reimbursement for qualifying degrees, • Opportunities for professional growth and career advancement, • Internal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities What You Will Do • Manages and provides the full scope of advanced nursing practice for targeted patient populations, which may include short-term treatment of members at the point of care. Evaluates patient responses to therapy/interventions. Ensures revision of the inter-professional plan of care as necessary to achieve quality outcomes., • Serves as the clinical authority on individualized care teams and leads rounds and interdisciplinary care team meetings., • Manages and provides comprehensive, advanced nursing care, including post-discharge aftercare visits, annual comprehensive assessment visits, palliative care-care management program onboarding, and change in condition assessment visits (including physical examination, comprehensive history, screening for physical and/or psychological conditions, and point of care testing). Urgent interventions (i.e., escalations for the Care Teams, RPM, and the 24/7 Line), pharmacological and non-pharmacological interventions, ordering treatments and DME, preventative health maintenance activities, care management, referrals, discharge planning, counseling, and patient education. Establishes a treatment plan based on clinical findings and determines when further evaluation by the collaborating physician, specialist, or emergency care is warranted., • Collaborates with patients, families, primary care physicians and other team members to provide assessment and care planning. Assesses, plans, and provides intensive and continuous care management across client settings., • Manages and provides clinical services in compliance with standards of Patient-Centered Medical Home standards, meaningful use of medical record data, HEDIS and QARR quality of care measurements., • Manages inter-professional team efforts regarding the medical, nursing, therapy and ancillary care provided to patients to ensure quality outcomes are achieved., • Participates in on call coverage schedule to ensure 24/7 access to practice clinicians., • Assesses, educates, and improves client and caregiver knowledge of chronic disease, self-care management, and identification of changes in health status, including appropriate responses and actions through individualized education and inter-professional interventions., • Observes and analyzes team performance patterns related to population under care and assists in developing interventions to improve team performance. Provides remedial support and guidance to interdisciplinary team members to address implementation/evaluation of plans that maintain/increase customer experience with care, cost-efficiency, and quality care compliance with regulatory standards., • Communicates with internal and external care partners regarding the needs of the patient or population to ensure interventions occur in a timely and appropriate manner. Intervenes as needed when the care plan is not executed and remediates the situation to prevent reoccurrence., • Performs procedures as outlined in collaborative practice agreement and as privileged by the Credentialing Committee., • Manages quality of medical record documentation and submits billing information in accordance with Professional Corporation policy., • Provides care in one or more care settings based on the clinical requirements: virtually, telephonically or travels to patients’ homes and/or other facilities with varying environments (e.g., elevated buildings, walk-ups, care facilities, single/multiple family homes, presence of pets, etc.) using approved transportation options., • Upon request, performs peer reviews of work performance, including quality of care, clinical documentation, coding and billing practices, communication skills, and population surveillance., • May participate in the VNS Health Medical Care at Home Quality and Professional Advisory Committee and any associated workgroups related to development of evidence based clinical models of care, peer education and training, quality improvement, medical record configuration and reporting, maximizing the use of clinical decision support systems., • May act as a preceptor for student Nurse Practitioners, providing excellent role modeling of community-based primary care practice., • Assumes responsibility for continued professional growth, and maintains professional certification and licensure., • Participates in special projects and performs other duties as assigned. Qualifications Licenses and Certifications: License and current registration to practice as a Registered Professional Nurse in New York State required Certificate (license) and current registration to practice as a Nurse Practitioner in the State of New York, with a specialty in adult health, family health or gerontology required Valid driver's license, as determined by operational/regional needs may be required Maintains credentialed status with VNS Health Medical Care at Home and associated managed care plans required Maintains NPI, Medicaid and Medicare provider numbers preferred Maintains a collaborative practice agreement with a physician in compliance with New York State regulations preferred Must be certified by ANCC or another accrediting Nurse Practitioner body – in order to bill Medicare and meet credentialing requirements required Education: Master's Degree of Science in Nursing, or other graduate degree from a nurse practitioner educational program registered by the New York State Education Department as qualifying for NP certification (licensure) required Current ANCC or AANP certification as an adult, family or geriatric nurse practitioner required Work Experience: Minimum of two years of experience as a nurse practitioner utilizing full scope of practice preferred Clinical home care experience or two years managerial experience preferred Demonstrated knowledge of HEDIS and QARR quality measures, ICD-10 and CPT coding for reimbursement of services required Bilingual skills, as determined by operational needs required Pay Range USD $109,900.00 - USD $146,500.00 /Yr. About Us VNS Health has been committed to meeting the needs of New Yorkers for over 130 years. We’re one of the largest nonprofit home- and community-based health care organizations in the country, and today, more than 11,500 team members work together to make a difference in the lives of more than 99,000 patients and members on any given day.

Job DescriptionDescription: Youth Development Professional JOB DESCRIPTION Position Title: Youth Development Professional Department: Youth Services Programming Supervisor: Site Coordinator / Supervisor Supervises: N/A Rate: $17 per hour School Clubs Schedule: School Clubs Schedule: Classification Mon - Tue (3:00 PM - 7 PM) Wed (12 PM - 7 PM) TH – (3 PM- 8PM) Fri (3:00 PM - 7 PM) Mon – Tue ( 3:00 PM – 7:00PM), WED( 12PM- 7PM), TH- 3PM- 8PM), Fri (12:00 PM - 7 PM) Part-time/seasonal position. Mission Statement Founded in 1938, the Boys & Girls Club of Newark (BGCN) is a non-profit organization working with youth to help them achieve academic success, build good character and citizenship, and lead healthy lifestyles. Position overview and primary functions. The Boys & Girls Club of Newark is a dynamic and passionate non-profit organization committed to empowering and supporting the holistic development of young individuals in our community and programs. Through our trauma-informed approach, we strive to create a safe and nurturing environment where youth can flourish, learn, and thrive. Job duties for this part-time/seasonal position include but are not limited to creating and maintaining a safe physical & emotional environment, direct supervision of children during all program hours, and the planning and implementation of our core program areas – Essential Skills, Health & Well Being, Character & Leadership, Academic Success and Life & Work Force Readiness. As a Youth Development Professional focusing on trauma-informed practices, you will play a pivotal role in directly serving and supporting youth participants, designing and delivering engaging Requirements: Qualifications • Associate degree or equivalent required – Minimum High School Diploma, • Four years ‘experience working with youth and families required in a school/afterschool setting., • Attend staff pieces of training outside of regular work hours., • Must pass a criminal background check and DOJ/FBI fingerprint clearance., • Must pass a Child Abuse Background Check (CARI), • CPR certificate - preferred, • Strong Tutoring background in English, Mathematics, and Science, • Required Medical Physical Examination with a negative TB test., • COVID – Vaccination required, including all relevant boosters., • Must understand, represent and appreciate the mission of The Boys & Girls Club of Newark *BGCN Provides EQUAL EMPLOYMENT OPPORTUNITIES: It always has been and continues to be BGCN’s policy that employees should be able to enjoy a work environment free from all forms of unlawful employment discrimination. All decisions regarding recruiting, hiring, promotion, assignment, training, termination, and other terms and conditions of employment will be made without unlawful discrimination on the basis of race, color, national origin, ancestry, sex, sexual orientation, gender identity, or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, genetic information, marital status, or any other factor that the law protects from employment discrimination. Individuals will be selected for promotion based on skill and ability. Where skill and ability are equal, the length of continuous employment will be the determining factor. Additionally, BGCN prohibits unlawful harassment of its employees, applicants, or independent contractors in any form. Complaints of unlawful employment discrimination or harassment should be reported as discussed in orientation with HR or the CEO. In cases where an investigation confirms the allegations, appropriate corrective action will be taken, regardless of whether the inappropriate conduct rises to the level of any violation of law. No employee will suffer retaliation for reporting, in good faith, any violation of Company policy or unlawful discrimination, harassment, or retaliation. (Revised 6/10/2026) Acknowledgment I have read and understand the duties outlined in this job description and know that The Boys & Girls Club of Newark may change this description to fulfill the position's requirements. By signing below, I acknowledge that I agree to carry out the functions, requirements, duties, and expectations of this position as described in this job description.

Job Description We are seeking a highly skilled and experienced ServiceNow Operations Manager to join our team at Forhyre LLC. The successful candidate will be responsible for managing and leading multiple strategic projects, collaborating with internal and external stakeholders, and ensuring the successful delivery of ServiceNow operations. Qualifications: • 12+ years' experience with software development, design, and architecture, • Bachelor's degree in Computer Science, Information Technology, or related field (Master's preferred)., • 7+ years' experience in solution architecture with emphasis on implementation of SNOW technical solutions, • 8+ years' experience in Agile practices, building software in an enterprise environment., • ServiceNow Certified Implementation Specialist and Certified Application Developer certifications., • Proven experience as a technical leader in ServiceNow implementations, with a deep understanding of ITSM and other ServiceNow modules., • Strong expertise in ServiceNow scripting, workflows, and integrations., • Deep enterprise architecture experience, including technical, business, security, and data architecture, • The ability to set clear and challenging goals while committing the organization to improved performance, tenacious and accountable in getting results., • Strong capability & ability to drive stakeholder & relationship management with all partners, • ServiceNow Certified Application Developer (CAD) or ServiceNow Certified Implementation Specialist., • Solid understanding and hands-on experience in ServiceNow modules such as Change Management, Incident Management, ITOM, IRM, ITAM, Security vulnerabilities (SecOps)., • Demonstrable experience in designing and implementing ServiceNow solutions to meet business requirements., • Experience with Agile and ITIL practices is a plus. Keys to Success in this Role: • Proven ability to work cross-functionally with teams to deliver successful projects., • Excellent problem-solving skills and ability to think critically., • Strong written and verbal communication skills and client facing skills., • Strong organizational skills with the ability to multitask and prioritize multiple priorities., • Work independently with minimal direction., • Ideal candidates would be ServiceNow experts, and certified. If you meet these qualifications and are excited about the opportunity to join our team at Forhyre LLC, please submit your application for consideration.

Job Description About The Conference Board Founded in 1916, The Conference Board is the member-driven think tank that delivers trusted insights for what’s ahead. Our agenda is simple: to help leaders navigate the biggest issues facing business and better serve society. We believe in innovative approaches that make you think- and act- differently. And everything we do reflects the input of our members and their real-world challenges. We do this by delivering business insights. We connect senior executives across industries and geographies to share ideas, and our experts create fact-based research and consensus-driven policy statements to help leaders address their most important business issues. Because we are independent, non-partisan, and non-profit our work is trusted. If you learned it at The Conference Board you can count on it. What it’s like to work here: While it’s serious work to operate a global business think tank, it’s also fulfilling — and fun! Our people enjoy what they do and know their ideas matter. We encourage everyone to take personal ownership for outcomes: we collaborate, share a purpose and commit to each other and to our Members. It’s all about doing our very best - which means we succeed as our Members succeed - together we improve society. The Conference Board invites all interested and qualified candidates to apply for employment opportunities. If you are an individual with a disability in need of assistance with our online application system and would like to request a reasonable accommodation, please email Sarah Baylis at SBaylis@tcb.org or call at 212 339 0347. Please indicate your full name, contact information and the specific accommodation needed. Position Summary:Based in the US NYC office, the Economist role requires deep technical and analytical expertise, and strong communication skills to deliver trusted insights on US and multinational labor market trends. The position demands acute interest and recent experience in tracking labor markets and the forces driving them. A strong econometrics and/or data science background is necessary, as is expertise in modeling, using several coding languages, platforms, and AI tools for maintaining, updating, revamping, and building new labor market data products. The Economist will support and deliver insights on labor dynamics, employment trends, and workforce implications for business performance. The candidate will report to the Strategic Projects team, and work collaboratively with other teams within the ESF Center, including Global Indicators, Forecasting, and Energy, Infrastructure & Environment (EIE). The economist may also partner with other experts in TCB's other centers, including Human Capital and the CEO Center. Accountabilities:• Labor Markets Insights and Data• Support and deliver labor market insights centered around excellence for labor market analytics and thought leadership for businesses.• Responsible for the production and release of proprietary labor market indicators and tools, including the Employment Trends Index and Help Wanted OnLine (HWOL).• Conduct data analysis, develop, and manage models on labor trends, including wages, employment, population, shortages, and job openings • Generate new labor market indices, data products, and tools with particular emphasis on regional, occupational, and sectoral analysis.• Collaborate with ESF peers and other TCB experts on generating labor market outputs and initiatives including labor market themes.• Establish clear project timelines, maintain quality control, and ensure all deliverables meet organizational standards and deadlines. General Responsibilities• Support the Chief Economist in shaping the global economic outlook, being an active participant at forecast meetings, and generating new research themes.• Partner with regional economists on labor market forecast outlooks and themes• Interface with other economists, analysts, and data specialists engaged in producing data and tools to ensure analytical rigor, efficiency, and professional growth.• Deliver labor market insights via short papers or series, webcasts, and podcasts.• Champion The Conference Board's five core values: Relevance, Openness, Innovation, Integrity, and Collaboration. Qualifications:• Master's degree in Economics or related field, including data science, and statistics.• Minimum 3-5 years in a data-intensive, research-oriented environment, with demonstrated interest and expertise in US labor markets and labor market themes globally.• General knowledge of global economic dynamics, labor markets, and forecasting methodologies.• Proven ability to manage projects and meeting fixed deadlines• Strong analytical skills with proficiency in statistical and econometric analysis (R, Excel, EViews, STATA, SAS, Python, Matlab).• Experience with data science and econometrics concepts such as time-series and panel data forecasting.• Comfortable using AI tools and machine learning to assist in ideation and production of data• Experience in data visualization and communication.• Flexible and willing to deliver pithy but impactful insights appealing to a C-suite audience.• Exceptional writing and presentation skills to deliver insights tailored for executive audiences.• Experience working in a multidisciplinary, business-oriented, hybrid team environment. What We Offer The Conference Board is proud to embrace best practices in employee wellbeing. We offer a competitive total compensation package. As part of our benefits package, we offer flexibility with hybrid working capabilities, employer-sponsored learning and development, advancement opportunities, on-site health initiatives, a communal and collaborative working environment, and a strong sense of comradery with sports teams, clubs, and employee events. The Conference Board does not discriminate. We are an equal opportunity employer/M/F/Vet/Disabled.

Job Description Organizational Background Since its founding at the 1964-65 New York World’s Fair, the New York Hall of Science (NYSCI) has inspired millions of people — children, teachers, and families — by offering innovative, participatory ways to learn and encouraging people to explore their curiosity and nurture their creativity. Located in Queens, the most ethnically diverse county in the country, NYSCI welcomes 400,000 visitors each year and serves thousands more through outreach in schools, teacher professional development, and participation in a variety of public events and research initiatives. NYSCI is a leader in the science museum field, recognized for its highly regarded exhibitions, programs, and products, all of which are informed by our inclusive, research-derived approach to STEM learning and engagement called Design, Make, Play. The defining characteristics of Design, Make, Play — open-ended exploration, imaginative learning, personal relevance, deep engagement, and delight — are the ingredients that invite broad participation in STEM and make engagement and learning irresistible. Through this transformative model for STEM exploration, NYSCI engages a broad community of learners in STEM by fostering excitement for self-directed exploration and tapping into the joy of learning intrinsic to young people’s play. NYSCI has approximately 95 full-time and over 135 part-time and casual staff members. Department Role The New York Hall of Science’s Visitor Experience team is a critical and integral part of NYSCI’s overall operations. NYSCI depends upon the talents and skills of this team to accomplish its mission. Under the direction of the Visitor Experience Managers, the Visitor Experience Associates provide support, guidance, and consultation for NYSCI’s general visits, birthday parties, membership, and group admissions functions. Visitor Experience Associates are the primary contact for the public and internal staff. They provide accessible, relevant, clear, timely information, and support the visitor’s journey. Function The role of the Visitor Experience Associate is to create a welcoming atmosphere for groups, visitors, and birthday party guests at their initial contact with NYSCI, while orienting them to the museum in such a way that facilitates the confidence visitors need to participate and explore. Additionally, Visitor Experience frequently conducts visitor surveys to improve the visitor experience. The Visitor Experience Associate participates actively in this research. Principal Responsibilities Meet and greet arriving visitors, ensuring the daily reception is orderly, timely, and thorough. Engage visitors, answer questions, and help foster good first impressions to maintain a positive relationship with visitors. Process sales at various workstations, complete ticket check-in, and ensure visitors have the information they need for a fruitful experience. Promote the sales of Membership, All-Inclusive tickets, and all ancillary activities. Become an ambassador for the variety of NYSCI’s tickets and products. Support the operation of all visitor-facing programs, events, and activities. Assist with any daily sanitization and organization of workstations and ticketing and survey instruments (ex: iPad). Promote social distancing and other hygiene etiquette in accordance with NYSCI’s policy. Support visitor experience research efforts through data collection, data entry, data preparation and related tasks. Be conversant in the mission, exhibitions, programs and related content of NYSCI. Prepare and maintain all materials needed for daily operations, set up workstations for use throughout the week, and prepare birthday party rooms for use as expected. Actively participate in all training opportunities including new exhibit content, visitor engagement strategies, improving customer service, and learning how to initiate conversations with visitors to invite feedback and response to exhibitions. Actively work to improve NYSCI’s “Staff Helpfulness” rating through our COVES survey, on an ongoing basis. Consistently provide feedback and observations to the management team to ensure the department’s operational guidelines, policies, and procedures are as up to date and efficient as possible. Complete other tasks as assigned. Supervisory Responsibilities None Relevant Experience And Skills 2 years’ experience working at a museum or in related management. Commitment to the philosophy and mission of NY Hall of Science. Demonstrable experience training and working with teams. Strong communication skills with the ability to express ideas clearly both in written and oral communications. Experience serving diverse audiences. Must be able to communicate with others clearly and comfortable approaching individuals or groups. Ability to communicate with people outside the organization, representing the organization to customers, the public, and other external sources, in person, in writing, or by telephone. Ability to actively listen to what others are saying, taking time to understand the points being made, ask questions as appropriate, and not interrupt at inappropriate times. Ability to provide information to supervisors and other co-workers in person, in writing, or by telephone. Knowledge of principles and methods for showing, promotion, and selling products or services. This includes sales techniques and sales control systems. Qualifications EDUCATION: Some college required or a BA in Business, Hospitality, or equivalent experience Knowledge of principles and processes for providing customer services. This includes customer needs assessment, meeting service quality standards, and evaluating customer satisfaction. A science center, natural history museum, or children’s museum background is preferred but not required. HOW TO APPLY Please upload your resume and cover letter through our online careers page. Please note that while careful consideration will be given to each submission, the Museum will contact only those applicants whose knowledge, skills, and work experience best fit the requirements of the position. Application Deadline: Applications will be reviewed on a rolling basis until the position is filled. The New York Hall of Science is an equal opportunity employer committed to fostering an inclusive and innovative environment with the best employees. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, military service, marital status, or any other protected status in accordance with applicable law. We support a drug-free workplace. If there are preparations we can mak

Job Description Originally founded in 1991 as Harlem RBI, DREAM has grown to annually serve more than 2,500 youth across East Harlem and the South Bronx through a network of seven PreK-12, extended-day, extended-year DREAM Charter Schools and community sports-based youth development programs. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom. We dream big, as well, with an aggressive five-year plan to expand to serve 3,500 students across seven schools—growing our organization’s impact and leveling the playing field for all children. To learn more, visit wearedream.org. Reporting to the Director of Operations, the Operations Manager will be responsible for supporting school-based staff with operational information systems, maintaining and analyzing operational data, supporting student recruitment and enrollment, supporting and managing special projects, and coordinating any network-wide academic or operational purchasing. This is an exciting opportunity for a dynamic and driven individual to develop a range of operations skills in a growing, fast-paced environment. Responsibilities Office Management • Serve as a point of contact for the school, including managing the office, greeting families and other visitors, and answering phone calls and emails;, • Provide comprehensive support to overall school operations and cultural practices;, • Manage the cleanliness and organization of the operations office;, • Ensure that there is a welcoming and customer service environment.Inventory Management, • Create and manage inventory systems that ensures school purchases and stocks required curricular materials (e.g., textbooks, science kits, etc.) and other operational school-wide purchases;, • Responsible for training staff on the ordering system;, • Manage inventory to ensure that supplies at the schools are inventoried on a regular basis.Facilities Management, • Support with ensuring facilities issues are raised and addressed in a timely fashion;, • Participates in regularly scheduled walkthroughs with the Director of Operations to ensure facilities and operational systems are in good working order;, • Develop and manage systems to uphold aesthetics standards with staff.Systems & Processes, • Support the development and implementation of school-wide systems and procedures that ensure operational excellence within the school. Systems include but are not limited to Transportation, Safety, School Lunch Program, procurement, and compliance tracking;, • Manages school-wide systems to ensure successful execution:, • Arrival, • Dismissal, • Attendance, • Supports the Director of Operations in identifying areas for improvement and helps to continually improve school operations systems and procedures and lead or support with special projects in this area.Student Recruitment, • Manage student recruitment, enrollment and re-enrollment process under the guidance of the Director of Operations;, • Manage the outreach and communication to prospective and accepted families;, • Manage the outreach and communication to current DREAM families to support with re-enrollment process;, • Create and manage the Family Referral Process, including current family outreach regarding referral process, referral data collection, and outreach to submitted;, • Plan and execute family engagement events under the guidance of the Director of Operations;, • Manage enrollment and re-enrollment data, including wait list management and student discharges, to ensure campus meets and maintains grade level enrollment targets;, • Plan and execute logistics for student recruitment events including but not limited weekend and after-hours events.Administration, • Manage scholar information data systems and ensures all platforms are up-to-date and accurate (Powerschool, ATS, SchoolMint);, • Conduct data entry and analyze and report on operations data, including data required for school, board and regulatory reporting;, • Manage the maintenance and execution of centralized systems, such as distributing student MetroCards, uniforms and any other materials along with coordinating school food services for staff and scholars;, • Support with planning and implementation of team-wide events, from professional development to team-building to org-wide occasions;, • Support the Director of Operations with special projects as needed, and serve as point person for all special projects work.Assessment Administration, • Receive, inventory, print, secure, and distribute all paper assessments;, • Prepare assessment materials for distribution (i.e. testing bins);, • Coordinate pickup and drop off of state exams, Regents, and/or AP exams and electronic set-up verification for any electronic assessments such as MAP;, • Support with monitoring the testing environment and students. Ensure testing procedures and regulations are followed;, • Collect and account for all testing materials, test scoring, and data roll up for the school instructional team as needed;, • Manage the set-up request for facilities, student meal request, and outsourced staff meals orders.Event & Trip Management, • Collaborate with the Director of Operations to manage the logistics, planning, and implementation of team-wide events, including but not limited professional development sessions, team-building events, and org-wide occasions. Talent Management, • Support in the training and onboarding of new staff;, • Support in the yearlong training and development of coordinators;, • Support with the coaching and feedback of operations coordinators.Qualifications, • Bachelor’s degree, required;, • At least 2 years of administrative experience, preferably in schools or a non-profit setting, required;, • Bilingual Spanish/English, preferred;, • Knowledge of and experience with school facilities and relevant technologies (e.g. Google Suite, PowerSchool, DeansList), a plus;, • Excellent written, oral, and interpersonal communication skills;, • Strong commitment to customer service and understanding of the importance of administrative functions to the organization's mission;, • Outstanding dependability, with a commitment to being on-time and prepared;, • Collaborative team-player;, • “Whatever it takes” attitude and a willingness to change priorities at a moment’s notice;, • Strong computer skills, including a high degree of proficiency with Microsoft Word, Excel and Google Suite;, • A strong belief in the mission and values of DREAM, including the desire to make a difference in the lives of our students, families, and community.Physical Demands of Position, • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential responsibilities and functions of the job and are not meant to be all inclusive., • Reasonable accommodation may be made to enable individuals with disabilities to perform the essential responsibilities and functions of the job., • Unless reasonable accommodations can be made, while performing this job the staff member shall:, • Stand, walk, bend, reach overhead, lift heavy objects, work in tight spaces, • Reach with hands and arms and use hands and fingers to handle objects and operate tools, computers, and/or controls, • Use close vision, color vision, peripheral vision and depth perception along with the ability to focus visionBenefits and Paid Time Off We offer comprehensive benefits including:, • Flexible Medical Health Plans, subsidizing the majority of costs for the employee, their spouse/domestic partner and children;, • The ability to select between a variety of medical plans according to what best suits the employee’s needs;, • Dental and vision plans;, • Disability benefits;, • Life insurance;, • Up to 12 weeks fully paid of Parental Leave;, • Flexible spending account options;, • Pre-tax commuter benefits (parking and transit);, • Fitness and entertainment discounts;, • A variety of support through our employee assistance program (EAP);, • 403(b) retirement plan with employer match starting at 4% after one year, with increases tied to DREAM tenure;, • Referral, performance, and tenure milestone bonuses;, • Discounted school meals through our in-house Scratch Food Program;, • Tuition reimbursement support;, • Access to a professional development fund;, • School-based 12-month employees have approximately 48 days off throughout the school year including holidays, school breaks, personal days, and wellness days., • Benefits are subject to change.Compensation, • DREAM offers a competitive salary commensurate with relevant experience with the potential for an annual performance-based increase. The incoming salary range for this position is $80,000 to $90,000 per year. New hires are typically brought into the organization at a salary closer to the start of the range depending on qualifications, internal equity, and the budgeted amount for the role. All staff are eligible for annual performance-based increases. Because we value staff tenure in each role, we do not currently cap salary ranges.Our Commitment to Diversity, Equity, and Inclusion At DREAM, diversity, equity, and inclusion are a matter of mission. From our schools to our playing fields, DREAM is committed to building a team where each individual can bring their full identity and experience to work because representation matters—it enriches our team culture, enhances our ability to innovate, and strengthens our impact in and out of the classroom. DREAM engages staff that represent and appreciate the diversity of our majority Black and Hispanic student body, while working to ensure that our practices are equitable, welcoming, and productive. We are dedicated to creating a world where youth, especially youth of color, have permission to dream—along with the tools and opportunities to make their dreams reality. Come dream with us. DREAM Maxims All Kids Can. This Kid Can. DREAM is Family. Fun is a Serious Value. Teamwork Makes the DREAM Work. Fail. Persist. Exceed. DREAM Big. Applying to DREAM We know applying for a new job can be a daunting process. In addition, studies have shown that historically underrepresented individuals often only apply to roles if they meet 100% of the qualifications. We encourage all applications! You may be just the person we need. If you have any questions about your application or interview process, do not hesitate to ask your recruiter; we are here to help! DREAM provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If accommodation is needed to participate in the job application or interview process, please contact your recruiter. If you are a current DREAM employee, please click here to review our Internal Selection Process before applying. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Associate Practice Area Director - II As a global leader in consulting, engineering, and commissioning services, we specialize in highly technical buildings and the systems that bring them to life. We are currently seeking a performance-driven, highly motivated leader to collaborate with our global science and technology team with the opportunity to grow into and oversee this practice area in the New York Region. This is an exciting opportunity to leverage our well-established legacy and brand with existing clients and innovative projects. This role can be located in any of the following locations: New York, NY. Travel will be required. In this high-level role, you will lead the efforts to pursue, win and execute pharmaceutical manufacturing, laboratory, semi-conductor manufacturing, and medical device projects. You will provide management review and oversee our regional science and technology team including the development of business plans, and target pursuits and executing a wide variety of projects, organizational structures, and processes. This role will report to the regional and practice area leader for the firm. Our dynamic work environment provides the optimal setting to take your engineering career to the next level. From our supportive culture, diverse workforce, and competitive compensation to our flexible work schedule Monday to Thursday in the office for 9 hours and Friday for 4 hours remotely at home and fun social events, it is everything you will need for an exciting, challenging, and rewarding career. As a management owned private entity, we seek to reward our key leaders with ownership opportunities to drive overall performance and recognition. Job Responsibilities As an Associate Practice Area Director II, you will oversee and expand an existing staff, coordinate the execution of all science and technology activities in your region, and maintain client satisfaction. You will generate new revenue and increase existing revenue streams. You will stay externally focused on developing and deepening your network of prospective clients and business partners, including owners, architects, and PM/CM firms, as well as key general contractors. You will track leads for major pursuits, forecast a pipeline of projects and develop winning strategies and teams. Additional responsibilities: • Stay abreast of the market both regionally and globally and keep key team members at the technical forefront of this practice area, • Develop an appropriate network within the company to facilitate the identification and sharing of relevant information between our national team for staffing and project pursuits, • Focus on ensuring technical excellence of project delivery and providing expert resolution of issues, • Develop, review, and coordinate the regional practice area business plan in conjunction with the global science and technology business plan including coordinating the business plan with other practice areas, geographies, and services, • Coordinate goals with other members of the global team to help execute the business plan, • Develop strategies and tactics to explore and penetrate new clients to increase sales and higher margin work, • Oversee project financials and interoffice / client reporting structure, • Work towards revenue generation goal of $1 million to $3 million (annual average for two years), • Develop and articulate the firm's value proposition in the market segment to develop a market distinction, • Lead and/or support sales presentations while focusing on selling integrated services, • Be an active leader and problem solver guiding our team and our partners to successfully deliver exceptional projects, • Write articles, and white papers and speak at industry conferences and events, • Responsible for strategic recruitment of senior staff with market specific experience; provide leadership to newly hired direct reports Job Requirements: The ideal candidate will possess the necessary leadership skills to oversee all efforts for clients, demonstrating an understanding of owner / client big picture business strategies and revenue goals, as well as the ability to foresee challenges. To succeed in this role, your technical expertise must be complemented by self-motivation, relationship building skills, effective communication skills, and the ability to effectively work in a fast–paced environment. The ideal candidate will be a recognized expert in the science and technology market focus within the industry. Additional requirements: • Bachelor's degree in electrical or mechanical engineering; exceptional candidates may substitute significant years of experience, • 12+ years of Life Science design experience, preferably a minimum of 5 years in consulting engineering or A/E firm, • Minimum of 5 years of management experience, • 5+ years' experience in developing business for engineering, • Thorough knowledge of MEP systems, • PE registration is required., • Effective team player with the ability to work independently or in a team environment, • Excellent organization skills, with the ability to manage multiple tasks simultaneously Benefits As an Associate Practice Area Director with Syska Hennessy Group, you will be part of a global firm with an amazing history! We are committed to being the best, advancing engineering design practice, and to supporting our clients with integrity. To make all of that happen, we rely on the talent, drive, enthusiasm, and total job satisfaction of the great people who work here. As a member of our highly collaborative team, we provide you with a flexible benefits package that reflects our respect for your workplace contributions, professional goals, and personal priorities. The personal benefits program at Syska Hennessy Group includes: • Robust, comprehensive medical, dental, vision, life insurance and supplemental benefit plans, • 401(k) plan with a generous employer matching program, • Training and professional development courses, • Professional development incentive bonuses, • Dynamic Employee Resource Groups, • Competitive Paid Time Off (PTO) policy, • Transit/parking employer stipend, • ½ day work from home Fridays all year long, • Opportunity for ownership as part of this management owned company At Syska, we promote an environment that is committed to embedding diversity and equality into the core of our business and culture. We empower our employees so they can take ownership of their work and development and strive to continually improve themselves and our firm. Syska is a place where you can build an exceptional career and have a lasting impact on the world. Syska Hennessy Group | Integrating the best minds and technology to help clients create exceptional environments The salary range listed below is for this particular job posting. Actual pay range for candidates will be commensurate with candidate's experience, skillsets and competencies and may differ based on the cost of labor in their particular location. New York Pay Range $141,104—$211,655 USD

Job DescriptionJob title: Manager - International Third-Party Measurement Duration: 09+ Months Contract Pay Range: $50 - $60 per hour on W2 (inclusive of all) Location: New York, NY Schedule: Onsite Job Description: Responsibilities: • Ad Hoc Analytics & Insights: independently lead complex ad hoc analyses for stakeholders across international markets, using third-party datasets to answer business-critical questions:, • Delivery of complex ad hoc requests — scoping the business question, extracting and analyzing data, and presenting findings and recommendations in a clear way., • Build reports and visualizations that clearly communicate insights to internal stakeholders., • Identify and help standardize opportunities to automate recurring analytical requests, partnering with the data infrastructure team where needed., • Prepare and distribute regular reporting across all international markets to keep internal stakeholders informed of the latest trends and developments., • Vendor & JIC Relationship Support: build methodology expertise to support our market-specific measurement relationships:, • Prepare briefing materials, data analysis, and talking points ahead of conversations with Joint Industry Committees (JICs) and commercial measurement vendors., • Analyze and assess the measurement methodology of new and existing third-party sources — including panel design, data collection approach, relevance, reliability and cost — to inform recommendations on which measurement solutions to pursue., • Track data discrepancies between first party and third party and help resolve open measurement issues (e.g. attribution gaps, partner-platform crediting) in partnership with vendors and JICs., • Handle the financial administration of vendor relationships — setting up vendor/customer profiles in the finance system, issuing purchase orders (POs), and managing invoicing-related communication with vendors. Qualifications: • Strong analytical skills and the ability to translate business questions into analytical solutions., • Understanding of (or strong interest in developing expertise in) audience measurement methodology and how measurement providers and models differ across markets., • Experience with data visualization tools such as Tableau, Qlik Sense, Looker, etc., • Working proficiency in SQL for data extraction; Python or R is a plus., • Master’s degree in computer or data science, economics, mathematics, statistics, or a related field., • Excellent communication and interpersonal skills, with the ability to synthesize complex information for varied audiences and engage confidently with external stakeholders (vendors, industry bodies) as well as internal ones., • Proficient in English, both written and spoken., • Knowledge and curiosity about TV content and the entertainment industry., • Comfortable working in a dynamic, fast-paced environment.

Job DescriptionAbout us Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients. Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions. Forus has exceptional product-market fit and is growing rapidly through organic adoption: Accelerating scale: We already support patients across more than 85% of ZIP codes and partner with 9 of top 15 largest biopharma companies in the world. AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable. Backing to build for the long term: We raised $300M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity. Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster. If we succeed, science will be the only limit to medicine. All full-time roles are in person in New York. About the Role AI Operations is a builder’s role for helping patients get access to medicine. You will take responsibility for live operational problems: a workflow to improve, a process to scale, or a new capability to build. You will examine the data, trace the workflow, talk to the people closest to it, and form a view of what needs to change. In partnership with engineering, you will design and launch AI solutions and measure their impact. This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Forus's success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you. If you join, you will: Own a live workflow or operational problem end to end, from diagnosis through launch and iteration Lead a frontline team that resolves complex exceptions, audits quality, and labels data to improve our AI systems Use data and frontline context to identify bottlenecks, form hypotheses, and define measurable outcomes Design workflows that determine where AI can act reliably and where human judgment is necessary Write specifications for internal products, automations, and AI agents in partnership with engineering Build and evaluate prototypes; study failure modes, define quality bars, and design controls Deploy changes, measure their impact on patient and provider access, and rapidly iterate Help expand Forus into new product areas by translating complex access pathways into scalable systems We’re looking for you if you have: 2–10 years in operations, consulting, finance, product, or another analytical, outcome-oriented environment; startup experience is a plus A track record of owning metrics and driving measurable improvement in complex workflows Fluency with data and technical tools; the type of person who uses Codex or Claude be default when solving problems Strong judgment about where to automate, how to manage exceptions, and how to evaluate quality Strong written and verbal communication, including the ability to turn ambiguity into a clean brief or specification A bias for action, low ego, curiosity, and a commitment to doing what is right for patients and providers High NPS with your former teammates This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply. Working with us Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles: Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up. Stay open to changing your mind. Resourceful optimism. Assume problems are solvable. Be audacious. Resist false constraints and push beyond the obvious before deciding. Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones. All killer, no filler. Raise the bar. Hold a high standard for your pace and execution, and elevate the performance of the team around you. Mamba mentality. Fight for users. Start with users’ realities, not ours. Resist optimizing for internal convenience over user outcomes. We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay. We also provide rich benefits to ensure you can focus on creating impact (for full-time employees): Fully covered medical, vision, and dental insurance. Memberships for One Medical, Talkspace, Teladoc, and Kindbody. Unlimited paid time off (PTO) and 16 weeks of parental leave. 401K plan setup, FSA option, commuter benefits, and DashPass. Lunch at the office every day and Dinner at the office after 6:30 pm. Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. Compensation Range: $100K - $270K

Job Description Associate Practice Area Director As a global leader in consulting, engineering, and commissioning services, we specialize in highly technical buildings and the systems that bring them to life. We are currently seeking a performance-driven, highly motivated leader to collaborate with our global science and technology team with the opportunity to grow into and oversee this practice area in the West region. This is an exciting opportunity to leverage our well-established legacy and brand with existing clients and innovative projects. This role can be located in any of the following locations: New York, NY. Travel will be required. In this high-level role, you will lead the efforts to pursue, win and execute pharmaceutical manufacturing, laboratory, semi-conductor manufacturing, and medical device projects. You will provide management review and oversee our regional science and technology team including the development of business plans, and target pursuits and executing a wide variety of projects, organizational structures, and processes. This role will report to the regional and practice area leader for the firm. Our dynamic work environment provides the optimal setting to take your engineering career to the next level. From our supportive culture, diverse workforce, and competitive compensation to our flexible work schedule Monday to Thursday in the office for 9 hours and Friday for 4 hours remotely at home and fun social events, it is everything you will need for an exciting, challenging, and rewarding career. As a management owned private entity, we seek to reward our key leaders with ownership opportunities to drive overall performance and recognition. Job Responsibilities As an Associate Practice Area Director, you will oversee and expand an existing staff, coordinate the execution of all science and technology activities in your region, and maintain client satisfaction. You will generate new revenue and increase existing revenue streams. You will stay externally focused on developing and deepening your network of prospective clients and business partners, including owners, architects, and PM/CM firms, as well as key general contractors. You will track leads for major pursuits, forecast a pipeline of projects and develop winning strategies and teams. Additional responsibilities: • Stay abreast of the market both regionally and globally and keep key team members at the technical forefront of this practice area, • Develop an appropriate network within the company to facilitate the identification and sharing of relevant information between our national team for staffing and project pursuits, • Focus on ensuring technical excellence of project delivery and providing expert resolution of issues, • Develop, review, and coordinate the regional practice area business plan in conjunction with the global science and technology business plan including coordinating the business plan with other practice areas, geographies, and services, • Coordinate goals with other members of the global team to help execute the business plan, • Develop strategies and tactics to explore and penetrate new clients to increase sales and higher margin work, • Oversee project financials and interoffice / client reporting structure, • Work towards revenue generation goal of $1 million to $3 million (annual average for two years), • Develop and articulate the firm's value proposition in the market segment to develop a market distinction, • Lead and/or support sales presentations while focusing on selling integrated services, • Be an active leader and problem solver guiding our team and our partners to successfully deliver exceptional projects, • Write articles, and white papers and speak at industry conferences and events, • Responsible for strategic recruitment of senior staff with market specific experience; provide leadership to newly hired direct reports Job Requirements: The ideal candidate will possess the necessary leadership skills to oversee all efforts for clients, demonstrating an understanding of owner / client big picture business strategies and revenue goals, as well as the ability to foresee challenges. To succeed in this role, your technical expertise must be complemented by self-motivation, relationship building skills, effective communication skills, and the ability to effectively work in a fast–paced environment. The ideal candidate will be a recognized expert in the science and technology market focus within the industry. Additional requirements: • Bachelor's degree in electrical or mechanical engineering; exceptional candidates may substitute significant years of experience, • 12+ years of Life Science design experience, preferably a minimum of 5 years in consulting engineering or A/E firm, • Minimum of 5 years of management experience, • 5+ years' experience in developing business for engineering, • Thorough knowledge of MEP systems, • PE registration is required., • Effective team player with the ability to work independently or in a team environment, • Excellent organization skills, with the ability to manage multiple tasks simultaneously Benefits As an Associate Practice Area Director with Syska Hennessy Group, you will be part of a global firm with an amazing history! We are committed to being the best, advancing engineering design practice, and to supporting our clients with integrity. To make all of that happen, we rely on the talent, drive, enthusiasm, and total job satisfaction of the great people who work here. As a member of our highly collaborative team, we provide you with a flexible benefits package that reflects our respect for your workplace contributions, professional goals, and personal priorities. The personal benefits program at Syska Hennessy Group includes: • Robust, comprehensive medical, dental, vision, life insurance and supplemental benefit plans, • 401(k) plan with a generous employer matching program, • Training and professional development courses, • Professional development incentive bonuses, • Dynamic Employee Resource Groups, • Competitive Paid Time Off (PTO) policy, • Transit/parking employer stipend, • ½ day work from home Fridays all year long At Syska, we promote an environment that is committed to embedding diversity and equality into the core of our business and culture. We empower our employees so they can take ownership of their work and development and strive to continually improve themselves and our firm. Syska is a place where you can build an exceptional career and have a lasting impact on the world. Syska Hennessy Group | Integrating the best minds and technology to help clients create exceptional environments The salary range listed below is for this particular job posting. Actual pay range for candidates will be commensurate with candidate's experience, skillsets and competencies and may differ based on the cost of labor in their particular location. New York Pay Range $128,276—$211,655 USD

Job Description Associate Practice Area Director - Healthcare Design As a global leader in consulting, engineering, and commissioning services, we specialize in highly technical buildings and the systems that bring them to life. We are currently seeking a performance-driven, highly motivated leader to collaborate with our national life science and Healthcare leadership team with the opportunity to grow into and oversee this practice area in the region (located in northeast or west region offices). This is an exciting opportunity to leverage our well-established legacy and brand with existing clients and innovative projects. We are looking for this candidate in our headquarters in New York City, New York. In this high-level role, you will lead the efforts to pursue, win and execute healthcare projects including in-patient hospitals, ambulatory surgery centers, behavior health facilities, medical office building and other facilities. You will provide management review and oversee our regional life sciences team including development of business plans, target pursuits and execute a wide variety of life science projects, organizational structures, and processes. This role will report to the Region leader for the firm. Our dynamic work environment provides the optimal setting to take your engineering career to the next level. From our supportive culture, diverse workforce, and competitive compensation to our flexible work schedule Monday to Thursday in the office for 9 hours and Friday for 4 hours remotely at home and fun social events, it is everything you will need for an exciting, challenging, and rewarding career. As a management owned private entity, we seek to reward our key leaders with ownership opportunities to drive overall performance and recognition. Job Responsibilities As an Associate Practice Area Director, you will oversee and expand on existing staff, coordinate the execution of healthcare activities in your region and maintain client satisfaction. You will generate new revenue and increase existing revenue streams within the Healthcare Market Focus. You will stay externally focused on developing and deepening your network of prospective clients and business partners, including owners, architects and PM/CM firms, as well as key general contractors. Track leads for major pursuits, forecast a pipeline of projects and develop winning strategies and teams. Additional responsibilities: • Stay abreast of the market both regionally and nationally and keep key team members at the technical forefront of this practice area, • Develop an appropriate network within the company to facilitate identification and sharing of relevant information between our national team for staffing and project pursuits, • Focus on ensuring technical excellence of project delivery and providing expert resolution of issues, • Develop, review and coordinate the regional practice area business plan in conjunction with the national life science and Healthcare plan including coordinating the business plan with other practice areas, geographies, and services, • Demonstrate a knowledge of OSHPD, • Demonstrate a knowledge of Design/Build proposals and contracts, • Coordinate goals with other members of the national team to help execute business plan, • Develop strategies and tactics to explore and penetrate new clients to increase national sales and higher margin work, • Oversee project financials and interoffice / client reporting structure, • Work towards revenue generation goal of $1 million to $3 million (annual average for two years), • Develop and articulate the firm's value proposition in the market segment to develop market distinction, • Lead and/or support sales presentations while focusing on selling integrated services, • Be an active leader and problem solver guiding our team and our partners to successfully deliver exceptional Life Science projects, • Write articles, white papers and speak at industry conferences and events, • Responsible for strategic recruitment of senior staff with market specific experience; provide leadership to newly hired direct reports Job Requirements: The ideal candidate will possess the necessary leadership skills to oversee all efforts for clients, demonstrating an understanding of owner / client big picture business strategies and revenue goals, as well as the ability to foresee challenges. To succeed in this role, your technical expertise must be complemented by self-motivation, relationship building skills, effective communication skills, and the ability to effectively work in a fast–paced environment. The ideal candidate will be a recognized expert in the Life Science and Healthcare market focus within the industry. Additional requirements: • Bachelor's Degree in Electrical or Mechanical Engineering; exceptional candidates may substitute significant years of experience, • 15+ years of Life Science design experience, preferably minimum of 5 years in consulting engineering or A/E firm, • Minimum of 7 years of management experience, • 7+ years' experience in developing business for engineering, • Thorough knowledge of MEP systems, • PE registration highly desired, • Effective team player with the ability to work independently or in a team environment, • Excellent organization skills, with the ability to manage multiple tasks simultaneously Benefits As an Associate Practice Area Director with Syska Hennessy Group, you will be part of a global firm with an amazing history! We are committed to being the best, to advancing engineering design practice, and to supporting our clients with integrity. To make all of that happen, we rely on the talent, drive, enthusiasm, and the total job satisfaction of the great people who work here. As a member of our highly collaborative team, we provide you with a flexible benefits package that reflects our respect for your workplace contributions, professional goals, and personal priorities. The personal benefits program at Syska Hennessy Group includes: • Robust, comprehensive medical, dental, vision, life insurance and supplemental benefit plans, • 401(k) plan with a generous employer matching program, • Training and professional development courses, • Professional development incentive bonuses, • Dynamic Employee Resource Groups, • Competitive Paid Time Off (PTO) policy, • Transit/parking employer stipend, • ½ day work from home Fridays all year long At Syska, we promote an environment that is committed to embedding diversity and equality into the core of our business and culture. We empower our employees so they can take ownership for their work and development and strive to continually improve themselves and our firm. Syska is a place where you can build an exceptional career and have a lasting impact on the world. Syska Hennessy Group | Integrating the best minds and technology to help clients create exceptional environments The salary range listed below is for this particular job posting. Actual pay range for candidates will be commensurate with candidate's experience, skillsets and competencies and may differ based on the cost of labor in their particular location. New York Pay Range $128,276—$192,414 USD

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: Thea Energy is seeking a Director - Divertor and Plasma Material Interactions to lead the research, design, engineering, prototyping, and qualification of Thea Energy’s divertor and first-wall systems across both the Eos and Helios development programs. This leader will lead an interdisciplinary team that will advance the technical basis for device design of three tightly coupled areas: • Core-edge integration • Plasma edge and divertor physics, • Plasma material interactions (PMI) As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. This role will have a high degree of autonomy and must be able to move quickly to resolve technical issues in a timely manner. Key Responsibility Areas: Strategic Leadership & Program Execution • Own the technical roadmap and milestones for core-edge optimization, heat exhaust solutions, plasma-facing systems, and particle exhaust subsystems from pre-conceptual design through hardware fabrication and operational commissioning., • Lead and mentor a world-class team of edge-plasma physicists, materials scientists, and thermal-mechanical engineers., • Set budget, staffing, and vendor strategies, balancing rapid in-house prototyping with key institutional partnership Divertor Design & Boundary Physics Integration, • Direct the physics and engineering design of the world’s first planar-coil stellarato X-point divertor, managing heat fluxes exceeding 10 MW/m2 under steady-state operation., • Oversee comprehensive SOL and edge transport modeling using industry-standard codes to predict strike-point heat flux profiles, detachment dynamics, impurity transport, and neutral pumping efficiency., • Establish active boundary control schemes using magnetic shaping coils and localized gas/impurity puffing to ensure robust radiative detachment and protect divertor targets. Plasma-Material Interactions & Advanced Materials Qualification, • Direct development of the technical basis for plasma facing material selection for long-pulse, low-core-fuel dilution operation on Eos and Helios., • Lead research initiatives into novel PFC solutions, such as renewable boundary surfaces, liquid metals, or aggregate pebble concepts where appropriate for longterm power plant life cycles., • Formulate testing campaigns for plasma erosion, sputtering, blistering, and helium/deuterium/tritium retention, both with and without sustained neutron fluence.Ideal Experience & Skillsets: Education & Experience, • Ph.D. or Master’s degree in Nuclear Engineering, Plasma Physics, Materials Science, Mechanical Engineering, or a closely related discipline., • 10+ years of direct experience in the design, development, or operation of plasmafacing components, divertor systems, or boundary physics in magnetic confinement fusion devices (tokamaks or stellarators) Technical Expertise, • Deep domain knowledge in steady-state plasma exhaust physics, SOL transport, divertor detachment, and high-heat-flux engineering., • Proven familiarity with edge/scrape-off layer simulation codes (e.g., EMC3-EIRENE, SOLPS, SOLEDGE) and FEA/CFD multiphysics tools (e.g., ANSYS, COMSOL) applied to extreme thermal and electromagnetic loads., • Clear understanding of the operational trade-offs between physics performance (core purity, H-mode retention, low and engineering survivability (thermal margins, erosion lifetimes, remote replacement constraints). Core Competencies, • Decisive technical judgment: ability to balance scientific rigor with the aggressive timelines of private fusion commercialization., • Exceptional cross-disciplinary communication skills, with the ability to convey complex plasma-boundary trade-offs to hardware engineers, executives, and investors. Preferred Qualifications, • Direct experience with stellarator magnetic topology (island divertors, nonaxisymmetric strike-lines) or advanced tokamak divertors (Super-X, snowflake, Xpoint target geometries)., • Demonstrated experience integrating diagnostic instrumentation (Langmuir probes, infrared thermography, bolometry, spectroscopy) into active plasma environments.Company Benefits:, • Salary range $165,000 - $230,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTOIt’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE PT Business Management • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products Service and Hospitality • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions Professional Development • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com/ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Machine Learning Engineer 4 - Finance Tech\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 Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products. \n \n By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine. \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 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 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 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 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 Machine Learning Engineer 4\n \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 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San 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 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).

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).

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).

AI Engineer 5\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San 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).

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).

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional., • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional., • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE PT Business Management • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products Service and Hospitality • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions Professional Development • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com/ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications Current Personal Training certification or willingness to obtain one through certification reimbursement program. Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field) • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional., • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$16.50/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. JOB OVERVIEW As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management personalized programs Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com/ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. Job Description As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES AS A MEMBER OF OUR TEAM TO LEARN AND EXECUTE • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications Current Personal Training certification or willingness to obtain one through certification reimbursement program. Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field) • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional., • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-$98.00/per session;$16.50/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Company Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description What makes Personal Training with Equinox stand out? Equinox is proudly recognized as the industry leader in Personal Training expertise, with the first in-house education of its kind through the Equinox Fitness Training Institute. For over twenty years EFTI has elevated our trainers to design comprehensive client fitness programs that are safe, effective and results driven. We are dedicated to the professional performance of our team and compensate our trainers for their education time. Equinox offers the highest compensation structure in the industry, with an earning potential of $100K+. In addition, Equinox offers all trainers a competitive benefits package including medical, dental and retirement planning options. Job Overview As an Equinox personal trainer your career becomes an empowered lifestyle founded on maximizing both your personal and client performance. Under the guidance of two dedicated managers you will develop and refine an approach to programming, education, business, and financial planning that ensures your Personal Training career is as unlimited as your passion. Secure a stronger future and help us redefine the science of fitness and the art of living. PRIMARY RESPONSIBILITIES • PT Business Management, • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell personal training programs to members and/or clients through phone calls, emails, and in-person interactions, • Maintain knowledge of all club services, programs, and products, • Service and Hospitality, • Execute fitness assessments, guided workouts, and other complimentary services for members, • Interact with members to enhance their workouts and overall club experience, • Create and coach personalized programs for both in-person and virtual clients, • Maintain an organized and safe fitness floor during shifts and sessions, • Professional Development, • Attend Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management personalized programs Qualifications • Current Personal Training certification or willingness to obtain one through certification reimbursement program., • Eligibility to begin a higher Tier & pay rate based on previous experience and education (Degree in the field), • Current CPR/AED certification, • Certification opportunities available for non-certified applicants, • Possess passion, ambition, drive, and knowledge regarding fitness, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, and respectful AS A PERSONAL TRAINER OF THE EQUINOX TEAM YOU WILL RECEIVE: • Compensation for time spent in internal education to support your growth as a Personal Trainer and professional, • Premier facilities with functional training areas, top-of-the-line strength and cardio equipment, and more, • Access to our company discounts with various certifying bodies and countless seminars/workshops for CEU credits, • Bonus opportunities for eligible trainers such as, but not limited to: New Trainer Bonus, Tri Annual Incentive Bonus, Senior Trainer Annual Bonus, and Member Referral Bonus, • Access to Medical, Dental, Vision, and 401k benefits within the first month of employment, • Pathway to management opportunities via our in-house Manager-In-Training program., • One of the highest and most competitive compensation plans in the industry with an earning potential of over $100K Pay Transparency: $40.50-98.00/per session;$17.00/hr (non-session work); ability to earn additional incentive bonuses Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities, or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at _ All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job Title: Release Train Engineer Duration: 09 months + Possible Extension Location: Edison NJ or, NYC, NY Required Pay Scale: $80/hr on W2 *Due to client requirements this role is only open to USC or GC candidates* *Due to client requirements this role is only open to Local Candidates* Job Summary: As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape our client’s digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success.\n \n Role Overview: As a Senior Release Train Engineer within Field Experience Technology, you will lead the delivery practice for our most complex FX capabilities, helping teams plan realistically, deliver predictably, and release with confidence. You will facilitate the planning cadence, keep work flowing, and remove the impediments that slow teams down — so engineering time stays on building products for our advisors and clients.\n \nYou will also set the bar for the Release Train Engineering community. Working across Delivery Operations, you will establish the standards for how we plan, release, and report, coach other Release Train Engineers, and represent delivery in leadership forums. You will own the rigor and data quality behind the delivery information leaders rely on.\n \nThis is a senior individual contributor role. Your influence will come from credibility and partnership rather than reporting lines — shaping roadmap tradeoffs with product counterparts, challenging direction constructively, and helping FX Technology move from coordinating execution to informing strategy.\n \n Roles & Responsibilities: \n\n • Reporting to the Technology Operations & Portfolio Leader, your primary focus will be to lead delivery execution for your assigned capabilities and to raise delivery practice across the community.\n, • Facilitate planning and delivery events — including PI planning, backlog preparation, and retrospectives — so teams commit to achievable plans against known capacity.\n, • You will drive predictable flow by surfacing and removing impediments, managing dependencies and risks across teams, and resolving cross-capability dependencies and escalated risk that cannot be settled at the capability level.\n, • You will own release readiness for your capabilities and set the release standards other capabilities follow, coordinating the planning, approvals, and communication required to release with confidence.\n, • You will uphold change management standards across normal, standard, and emergency changes, so delivery meets the governance requirements of a regulated environment, and lead the exception and emergency paths when escalation is required.\n, • You will own the accuracy of delivery data and reporting for your capabilities, so that status, progress, and capacity information is reliable without teams rebuilding it by hand each cycle.\n, • You will partner with FX Capability Leads, product partners, and Planning Operations to connect demand and capacity — helping ensure incoming work is planned rather than absorbed mid-cycle, and influence roadmap tradeoffs and sequencing with senior product and technology leaders.\n, • You will define and steward consistent delivery practice across FX Technology, adopting and adapting shared Agile practices rather than building capability-specific approaches.\n, • You will coach teams and other Release Train Engineers on Agile ways of working and support continuous improvement.\n, • You will represent delivery in leadership forums, giving senior stakeholders a clear, risk-aware view of portfolio delivery health and challenging direction constructively where the plan and the capacity do not match.\n, • You will identify where AI and automation can remove coordination, reporting, and release overhead across capabilities, set that expectation for other Release Train Engineers, and make sure the capacity it frees is visible rather than quietly reabsorbed.\n, • You bring deep experience leading Agile delivery at scale, and the judgment to know when to facilitate, when to coach, and when to escalate. You are comfortable holding teams to a cadence while protecting them from churn, and you build trust quickly with engineers, product partners, and leaders alike. You think in terms of flow — where work is queuing, where handoffs cost time, and what would make the next release smoother than the last.\n, • Beyond your delivery experience, you communicate clearly with both technical and business audiences, stay organized across competing priorities, and treat reporting as a means to better decisions rather than an end in itself. You are credible in a room of senior leaders, comfortable disagreeing well, and motivated by raising the capability of the people around you. You use AI as a normal part of how you work, and you look for where it can take manual effort out of delivery rather than waiting to be asked. \nRequired Skills: \n\n • Bachelor’s degree in information systems, Computer Science, Business, or a related field, or equivalent practical experience.\n, • 9+ years of experience in Agile delivery, with demonstrated experience as a Release Train Engineer supporting multiple teams in a large enterprise.\n, • Experience facilitating planning cadences and release execution in a multi-team environment, including capabilities with significant complexity, regulatory exposure, or cross-team dependency.\n, • Strong working knowledge of Jira or equivalent delivery tooling, including the reporting and data hygiene that make delivery information trustworthy.\n, • Proven ability to manage cross-team dependencies, risks, and impediments through to resolution.\n, • Strong facilitation, communication, and stakeholder management skills across technical and business partners.\n, • Demonstrated experience with change and release management practices in a regulated environment, including ITIL-aligned change processes and supporting tooling.\n, • Demonstrated experience coaching or mentoring other delivery professionals, and influencing senior stakeholders without formal authority.\n, • Demonstrated use of AI tools to reduce manual delivery, reporting, or coordination effort, and the judgment to know where automation genuinely helps. \nPreferred Skills: \n\n • SAFe Release Train Engineer certification (SAFe RTE) or equivalent scaled Agile certification; SAFe Practice Consultant (SPC) or equivalent is a plus.\n, • Experience in insurance, financial services, or another regulated industry.\n, • Familiarity with Lean Portfolio Management concepts such as demand shaping, portfolio flow, and capacity planning.\n, • Experience applying AI or automation tools to reduce manual reporting and coordination effort, including establishing practices others adopted.\n, • Experience with value stream or flow management tooling.\n

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).

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).

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).

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

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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).

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).

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

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

About Stellar \n Stellar Management is an AI-first real estate investment and property management firm with a large, institutional portfolio. We use AI across our operations and want teammates who do too. \n \n The Role \n Own and enhance our Yardi ecosystem, partnering with Asset Management, Accounting and Property Management to improve data quality, reporting and automation. This hands-on role offers direct systems ownership and a path toward broader systems and data leadership. \n \n Responsibilities \n • Administer and support Yardi Voyager and related modules, including configuration, permissions and workflows. \n • Build and maintain SSRS/YSR, Power BI and Excel reports and dashboards. \n • Translate business requirements into configurations, process improvements and documentation. \n • Support implementations, upgrades, integrations and migrations, including testing, validation and post-go-live review. \n • Build scripts, data pipelines and integrations that reduce manual work. \n • Maintain data integrity through reconciliations and controls; resolve issues and coordinate with Yardi support and vendors. \n \n Requirements \n • 2–5 years of hands-on Yardi Voyager experience in real estate, property management or accounting—a firm requirement. \n • Experience configuring Yardi, writing or maintaining reports and supporting end users. \n • Strong SQL, Power BI or comparable BI tools, and advanced Excel skills. \n • Business requirements gathering, UAT and process documentation experience. \n • Clear communication with business, technical and non-technical stakeholders. \n • AI-proficient, or genuinely AI-curious: you use tools like ChatGPT, Copilot or Claude day to day to work faster, and you're excited to bring AI into Yardi workflows and reporting. \n • Bachelor's degree in Information Systems, Computer Science, Finance, Real Estate or a related field, or equivalent practical experience. \n \n Nice to Have \n • MRI, RealPage, AppFolio, Entrata or SiteCompli experience. \n • Python, VBA or Power Automate skills. \n • Institutional real estate operations, financial data or portfolio analytics exposure. \n • Yardi implementations, module rollouts or platform migrations. \n • Experience building AI-assisted automations, prompts or agents for data, reporting or operations work. \n \n Salary: $75,000 – $100,000 per year \n \n How to Apply \n Apply through LinkedIn. \n \n Stellar Management is an equal opportunity employer.

Job Description About the Opportunity We are seeking an exceptional hands-on CTO / Co-Founder to lead technology strategy, product architecture, and engineering execution for an early-stage AI company focused on transforming complex financial and operational workflows within a highly regulated industry. This is a unique opportunity to join a well-funded venture at the earliest stages and play a foundational role in building both the product and the company. The ideal candidate will combine deep technical expertise with entrepreneurial drive and the ability to move quickly from concept to scalable commercial product. This is not an advisory role. The successful candidate will be expected to actively design, build, and lead the development of the platform while recruiting and managing the initial engineering team. What You'll Build The company is developing an AI-powered platform that leverages workflow automation, data integrations, and advanced analytics to streamline complex business processes, reduce manual effort, improve accuracy, and increase operational visibility. Key areas of focus include: • AI-powered workflow automation, • Business process optimization, • Data ingestion and normalization, • Secure API integrations, • Transaction and workflow management systems, • Operational intelligence and decision support, • Scalable cloud-based infrastructure Responsibilities • Own the technology vision, architecture, and engineering roadmap, • Build and launch the initial product from concept through production, • Design secure, scalable, and high-performance systems, • Evaluate and select the technical stack and development tools, • Develop AI-enabled workflow automation capabilities, • Lead integrations with third-party systems and data sources, • Recruit, hire, and mentor the initial engineering team, • Collaborate closely with executive leadership, investors, advisors, and customers, • Scale the platform from MVP to commercial deployment Required Qualifications • Bachelor's degree in Computer Science, Engineering, or a related technical field, • 10+ years of software engineering and technical leadership experience, • Proven experience building and launching software products from concept to production, • Strong hands-on software engineering and system architecture background, • Experience designing scalable, secure, production-grade applications, • Experience leading engineering teams and technical roadmaps, • Strong product mindset and ability to work in fast-moving environments, • Excellent communication and leadership skills Preferred Qualifications • Experience building AI-powered products or workflow automation platforms, • Experience in regulated, data-intensive, transaction-heavy industries, • Experience with enterprise SaaS, fintech, healthcare technology, payments, or workflow platforms, • Startup, founder, or early-stage company experience, • Experience integrating external systems through APIs and data pipelines, • Experience working directly with customers and executive stakeholders Ideal Candidate The ideal candidate is a builder and leader who enjoys solving difficult technical problems, creating products from the ground up, and operating in an entrepreneurial environment. This individual should be comfortable balancing hands-on engineering work with team leadership, product development, and strategic decision-making. Additional Information • Full-time position, • Onsite in New York City, • No sponsorship available, • U.S. work authorization required Qualified candidates are encouraged to apply with a resume highlighting product development, technical leadership, startup experience, and scalable platform architecture experience. \nCompany Description Diverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow. Specialties / DSG Core Competencies: • Healthcare Information Management, • Healthcare Information Technology Discovery(HID), • Project/Program Managers, • Change and Configuration Managers, • Quality Assurance/Testers, • Network Security, • Database Developers and Administrators, • Information Assurance, • Web Development, • Helpdesk Diverse Systems Group, LLC (DSG), is a minority-owned 8(a) firm that creates custom information technology and business solutions for government agencies, systems integrators and government contractors. Our experience and commitment to client relationships enables us to provide creative, innovative and cost-effective solutions. DSG is a premier provider of information technology and business solutions to government agencies, system integrators and government contractors. Our project management experience and commitment to client relationships enable us to provide creative and cost-effective solutions. DSG provides a wide range of services to industries to help them leverage the strengths of Information Technology to optimize their business performance and produce value-driven results. Our services deliver a total solution package designed to meet our clients complete business and technology needs. DSG approaches every engagement with one objective in mind ... to help our clients win and grow.\r\n\r\nSpecialties / DSG Core Competencies:\r\n Healthcare Information Management\r\n Healthcare Information Technology Discovery(HID)\r\n Project/Program Managers\r\n Change and Configuration Managers\r\n Quality Assurance/Testers\r\n Network Security\r\n Database Developers and Administrators \r\n Information Assurance\r\n Web Development\r\n Helpdesk

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