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About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. The Opportunity As One Medical continues to expand and transform the primary care experience, we're seeking physicians to deliver exceptional virtual primary care. In this role, you'll care for One Medical patients through scheduled and on-demand visits via video and asynchronous messaging channels. The One Medical Virtual Medical Team (VMT) is a leading provider of virtual clinical care, providing world-class, convenient, evidence-based virtual medical care to One Medical patients. Through advanced technology and a team-based approach, we care for patients 24 hours a day, 365 days a year. Our team is united by intellectual curiosity, inclusiveness, and a powerful mission: transforming healthcare and bringing world-class primary care to everyone. Employment type: • Full time (40 hours including some evenings and weekends), • Location: Remote, must reside in the United States What you'll be working on: • Treat patients via telehealth visits, including video visit appointments, supporting a panel and message-based care, • Manage patients with a broad array of patient needs virtually, conducting a mix of acute, chronic, and well visits, • Adopt standard work and clinical protocols for evidence-based clinical care, • Continuous learning during weekly Clinical Rounds and through other modalities, • Ongoing collaboration with teammates and leadership via daily huddles, • Collaborative oversight of 4-8 NP or PA colleagues Education, licenses and experience required for this role: • Completed an accredited Internal or Family Medicine residency program, • Practiced at least 2 of the last 5 years in a primary care or virtual primary care setting, • Board Certified in Internal or Family Medicine, • Active state license in either CA, NY or DC, • In addition, minimum of 15 state licenses and willingness to obtain and maintain additional licenses with the support of our One Medical Credentialing Team Preferred: • Experience with virtual care and/or virtual primary care preferred One Medical providers also demonstrate: • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients, • Adaptability and flexibility to deliver care and evolve models of virtual care delivery within a growth-phase clinical organization One Medical is committed to fair and equitable compensation practices. The base salary range for this role is $262,000 to $278,500 based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans. For more information, visit_. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. The Opportunity: The One Medical Virtual Medical Team (VMT) is a leading provider of virtual clinical care, providing world-class, convenient, evidence-based virtual medical care to One Medical patients in concert with their primary care providers. Through advanced technology and a team-based approach, we care for patients 24 hours a day, 365 days a year. Our team is united by intellectual curiosity, inclusiveness, and a powerful mission: transforming healthcare and bringing world-class primary care to everyone. Employment type: • Seasonal Employee from August - February 2027, • W2 position, • 40 hours minimum weekly, • 2 full (entire) rotating A/B weekends per month (weekends includes Saturday and Sunday), • Support 2 of 4 company observed holidays (Thanksgiving, day after Thanksgiving, Christmas, New Years Day) What you’ll be working on: • Treating patients via tele-health visits, including telephonic triage calls, video visit appointments, and email follow-ups, • Continuous learning during weekly Clinical Rounds and through other modalities, • Ongoing collaboration with both virtual and in-office teammates via daily huddles, • Utilization of your specific clinical training and opportunities to give exceptional care to patients virtually Education, licenses, and experiences required for this role: • Completed an accredited FNP program with a national certification, • Currently licensed in NY with possibility to obtain additional states, • In the past 5 years, practiced as an Advanced Practitioner for at least:, • 2 years in an outpatient primary care setting seeing patients of all ages (0+), OR 2 years in an urgent care or emergency medicine setting seeing patients of all ages (0+), • Ability to work afternoons and evenings (Current shifts are 7am-6pm EST or 11-10pm EST), • Excellent clinical and communication skills with the ability to follow established clinical protocols and workflows, • An example schedule for this role are alternating weeks:, • Week A:, • Monday: 7a-6pm Eastern (1 hour break), • Tuesday: 7a-6pm Eastern (1 hour break), • Thursday: 7a-6pm Eastern (1 hour break), • Friday: 7a-6pm Eastern (1 hour break), • Week B:, • Monday: 7a-6pm Eastern (1hour break), • Tuesday: 7a-6pm Eastern (1hour break), • Saturday: 7a-6pm Eastern (1hour break), • Sunday: 7a-6pm Eastern (1hour break) One Medical providers also demonstrate: • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a non-benefited virtual role. Compensation for this position is $80/hr. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. Employment type: • Full time, 32 hours per week What you'll be working on: • Managing a patient panel with a broad array of patient needs; conducting a mix of acute, chronic, and well visits, • Treating patients in-office or in testing centers as well as conducting occasional tele-health visits, • Continuous learning during weekly Clinical Rounds and through other modalities, • Ongoing collaboration with in-office teammates via daily huddles, as well as with virtual clinical teams, • Utilization of your specific clinical training and opportunities to perform in-office procedures, • Supervising one or more NP or PA colleagues Education, licenses, and experiences required for this role: • Enrolled in, or have completed, an accredited Internal or Family Medicine residency program, • Practiced at least 2 of the last 5 years in an outpatient primary care setting, • Board Certified in Internal or Family Medicine, or Board Eligible with plans to obtain board certification within 1 year of your One Medical start date, • State licensed in New York, obtained before your One Medical start date One Medical providers also demonstrate: • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a full-time role based in New York, NY. The base salary range for this role is $258,500 to $274,700 per year based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans. For more information, visit _ Relocation assistance may be available for this role. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. The Opportunity: The One Medical Virtual Medical Team (VMT) is a leading provider of virtual clinical care, providing world-class, convenient, evidence-based virtual medical care to One Medical patients in concert with their primary care providers. Through advanced technology and a team-based approach, we care for patients 24 hours a day, 365 days a year. Our team is united by intellectual curiosity, inclusiveness, and a powerful mission: transforming healthcare and bringing world-class primary care to everyone. Employment type: • Seasonal Employee from August - February 2027, • W2 position, • 40 hours minimum weekly, • 2 full (entire) rotating A/B weekends per month (weekends includes Saturday and Sunday), • Support 2 of 4 company observed holidays (Thanksgiving, day after Thanksgiving, Christmas, New Years Day) What you’ll be working on: • Treating patients via tele-health visits, including telephonic triage calls, video visit appointments, and email follow-ups, • Continuous learning during weekly Clinical Rounds and through other modalities, • Ongoing collaboration with both virtual and in-office teammates via daily huddles, • Utilization of your specific clinical training and opportunities to give exceptional care to patients virtually Education, licenses, and experiences required for this role: • Completion of master’s degree in an accredited Physician Assistant program (MSPAS) and is maintaining active NCCPA certification, • Currently licensed in NY with possibility to obtain additional states, • In the past 5 years, practiced as an Advanced Practitioner for at least:, • 2 years in an outpatient primary care setting seeing patients of all ages (0+), OR 2 years in an urgent care or emergency medicine setting seeing patients of all ages (0+), • Ability to work afternoons and evenings (Current shifts are 7am-6pm EST or 11-10pm EST), • Excellent clinical and communication skills with the ability to follow established clinical protocols and workflows, • An example schedule for this role are alternating weeks:, • Week A:, • Monday: 7a-6pm Eastern (1 hour break), • Tuesday: 7a-6pm Eastern (1 hour break), • Thursday: 7a-6pm Eastern (1 hour break), • Friday: 7a-6pm Eastern (1 hour break), • Week B:, • Monday: 7a-6pm Eastern (1hour break), • Tuesday: 7a-6pm Eastern (1hour break), • Saturday: 7a-6pm Eastern (1hour break), • Sunday: 7a-6pm Eastern (1hour break) One Medical providers also demonstrate: • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a non-benefited virtual role. Compensation for this position is $80/hr. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. The Opportunity Our New York in-office RN team works closely with our providers and Virtual Medical Team to make decisions and deliver care to our patients. Our New York in-office RNs work collaboratively with one another and with every member of their office-based care team. With continuous access to support from our Virtual Medical Team, we provide accessible, comprehensive, and coordinated care grounded in longitudinal, healing relationships. As a Registered Nurse, you’ll report to the RN Manager based off your specific region of New York and play a critical role in delivering high-quality primary care. Your responsibilities center on clinical nursing care, patient education, care coordination, and continuous clinical excellence across the lifespan. In New York, the RN is an essential member of the care team, helping ensure care is delivered safely and effectively in accordance with applicable nursing regulations, scope-of-practice requirements, and clinical guidelines. Our clinics provide broad, comprehensive primary care, and the RN plays a key role in bringing this model to life - supporting patients, partnering closely with providers, and ensuring continuity and coordination across the care journey. Employment type: • Full time (40 hours/week), • Monday – Friday;, • Patient facing hours: 8:30am – 12pm + 1pm-4:30pm What you'll be working on: • Ongoing collaboration with both in-office and virtual teammates via office-based and virtual daily huddles., • Supporting patients via 1:1 ‘drop-in’ and appointment-based visits, in-person procedure-based care; pediatric and adult vaccinations, medication administration, ear lavage, EKGs, quality-based prevention and screening measures (diabetic retinopathy and provider workload support initiatives), pediatric wellness screenings (point of care lead and hemoglobin), hearing and vision screenings., • Integration of Value Based Care delivery model, alongside current fee for service model., • Partnering with office-based Medical Directors + PCPs to ensure the nuanced needs of your office’s patients are being met with the proper data backed metrics and improvement upon health outcomes., • Driving results for seasonal based initiatives such as Flu/Covid vaccination clinics., • Virtual queue-based tasking expectations that support market service level agreements within RN scope of practice; via documentation of historical medical records, direct messaging with patients, form completion, and general chart auditing and clean-up, and beyond. Education, licenses, and experiences required for this role: • Bachelor of Science in Nursing and 1 year of recent RN experience working with Pediatric through Adult patients in a Primary Care or Urgent Care setting preferred, • OR Associate Degree in Nursing and 2 years of recent RN experience working with Pediatric through Adult patients in a Primary Care or Urgent Care setting required, • Comfort with Pediatric/Adult vaccinations, Pediatric Phlebotomy, Vision/Hearing Testing, Ear Lavage, EKGs, Medication Administration + Education, Capillary Sticks, and other testing/procedures that fall into the RN scope of practice, • Flexibility to work in-office at any of our New York City or Brooklyn offices, • Flexibility to work as a part of our rotating flu clinic in the fall, • Current RN license in New York (required) and active BLS certification One Medical providers also demonstrate: • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a 40 hour/full-time role based in our Mamaroneck or Elmsford Office New York City, NY. One Medical is committed to fair and equitable compensation practices. The base hourly range for this role is $49.50 to $52.50 per hour (plus weekend differential) based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. For more information, visit _. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. The Opportunity As we continue to expand and transform the primary care experience, we’re looking for a OfficeCoordinator (Internally called Practice Coordinator) to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy! As a Practice Coordinator at One Medical, you will be the onsite lead and support your practice team members in delivering the highest quality and best experience to our patients. You will be responsible for championing best practices with our patients and team members to ensure the practice runs smoothly with a focus on operational excellence, active daily management, scheduling, inventory management, and facilities management. The Practice Coordinator is the subject matter expert on workflows and processes and serves as the practice team’s main point of contact for daily clinical operational oversight. You will motivate, support, and under direction of your Operations Manager, provide direction, and coach your teammates to ensure consistent high performance of the practice and support your team through change and growth. You are proficient in the art of customer-service, support roles, administrative work, and motivating a team or peers, especially through times of change. You are skilled in nuanced patient communication with an emphasis on consistent high quality patient-centered experiences, and foster open communication with team members. You are currently looking for your next opportunity to support and lead a team at an organization that is transforming healthcare. If this sounds like you, we would love to connect. What you’ll likely work on: • Ensure operational readiness of the practice through regular team check ins, review of staffing, monitoring of task queues, adherence to standard work, and conducting end of month practice operations such as publishing shift schedules for both administrative and clinical team members, • Provide team support and leadership through training, coaching, and mentoring of team members and team recognition, • Drive performance improvement though active daily management, including office huddle facilitation and monitoring performance metrics, • Perform inventory management including ordering and receiving supplies, expiration tracking, waste minimization, and completing counts, • Support the financial health of the practice through office budget review and managing copay and revenue cycle, • Monitor and own Net Promoter Score (NPS) responses and respond to service recovery cases, escalating to the Operations Manager as needed, • In partnership with with Clinical Leadership and the Operations Manager, support quality health outcomes, patient safety, regulatory compliance, and implement improvement initiatives to manage population health, • Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, and strong knowledge of billing and insurance, • All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectation, perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization, and supporting facility, security, and IT requests as encountered, • Clinical duties may include providing best in class venipuncture services on a population ranging from pediatrics to geriatrics, and performing and assisting with extended scope duties such as, but not limited to non-blood specimen collection, EKGs/ECGs, vitals, ear lavages, vaccines, PPD tests, and swabs What you’ll need: • At least 1 year of experience in a supervisory or lead role in high touch customer service or patient facing healthcare, • Graduated from a postsecondary Medical Assistant program accredited by either the Commission on Accreditation of Allied Health Education Programs (CAAHEP), the Accrediting Bureau of Health Education Schools (ABHES), another accrediting organization recognized by the United States Department of Education, • An active Medical Assistant certification from the National Healthcareer Association (NHA), the American Association of Medical Assistants (AAMA), the National Center for Competency Testing (NCCT), the American Medical Certification Association (AMCA), the National Association for Health Professionals (NAHP), the National Certification Medical Association (NCMA), or registration from the American Medical Technologists (AMT), or any other recognized certifying body approved by the Board, • Proven ability to foster strong, collaborative team-dynamics that ensure a supportive and engaged team culture, • Experience working on collaborative, diverse and feedback-driven multi-disciplinary teams, • Strong written and verbal communication skills, • Proven track record of leading successful change management and process improvement efforts preferred, • Experience in healthcare, with a solid understanding of billing and insurance, is preferred Physical Demands: Mostly sedentary work duties require exerting up to ten pounds of force occasionally and/or small amounts of force frequently. Sedentary work typically involves sitting most of the time, but may involve walking or standing for brief periods. One Medical is committed to fair and equitable compensation practices The range for this role is $29.00 to $31.00 per hour based on a standard full-time schedule. Total compensation packages may be based on factors unique to particular candidates, such as skill sets, depth of experience, and work location. The total compensation package for this position may also include benefits. For more information, visit_ This is a full-time role, working 40 hours per week, based in-person with our team and patients at our Hoboken, NJ with 8 hour shifts generally taking place Monday - Friday between 7:30a - 6:00p. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. The Opportunity Our New York in-office RNs work collaboratively with one another and with every member of their office-based care team. With continuous access to support from our Virtual Medical Team, we provide accessible, comprehensive, and coordinated care grounded in longitudinal, healing relationships. As a Registered Nurse, you’ll report to the RN Manager based off your specific region of New York and play a critical role in delivering high-quality primary care. Your responsibilities center on clinical nursing care, patient education, care coordination, and continuous clinical excellence across the lifespan. In New York, the RN is an essential member of the care team, helping ensure care is delivered safely and effectively in accordance with applicable nursing regulations, scope-of-practice requirements, and clinical guidelines. Our clinics provide broad, comprehensive primary care, and the RN plays a key role in bringing this model to life - supporting patients, partnering closely with providers, and ensuring continuity and coordination across the care journey. Employment type: • Full time (40 hours/week), • Monday – Friday; Patient facing hours: 8:30am – 12pm + 1pm-4:30pm What you'll be working on: • Ongoing collaboration with both in-office and virtual teammates via office-based and virtual daily huddles., • Supporting patients via 1:1 ‘drop-in’ and appointment-based visits, in-person procedure-based care; pediatric and adult vaccinations, medication administration, ear lavage, EKGs, quality-based prevention and screening measures (diabetic retinopathy and provider workload support initiatives), pediatric wellness screenings (point of care lead and hemoglobin), hearing and vision screenings., • Integration of Value Based Care delivery model, alongside current fee for service model., • Partnering with office-based Medical Directors + PCPs to ensure the nuanced needs of your office’s patients are being met with the proper data backed metrics and improvement upon health outcomes., • Driving results for seasonal based initiatives such as Flu/Covid vaccination clinics, • Virtual queue-based tasking expectations that support market service level agreements within RN scope of practice; via documentation of historical medical records, direct messaging with patients, form completion, and general chart auditing and clean-up, and beyond. Education, licenses, and experiences required for this role: • Bachelor of Science in Nursing and 1 year of recent RN experience working with Pediatric through Adult patients in a Primary Care or Urgent Care setting preferred, • OR Associate Degree in Nursing and 2 years of recent RN experience working with Pediatric through Adult patients in a Primary Care or Urgent Care setting required, • Comfort with Pediatric/Adult vaccinations, Pediatric Phlebotomy, Vision/Hearing Testing, Ear Lavage, EKGs, Medication Administration + Education, Capillary Sticks, and other testing/procedures that fall into the RN scope of practice, • Flexibility to work in-office at any of our New York City or Brooklyn offices, • Flexibility to work as a part of our rotating flu clinic in the fall, • Current RN license in New York (required) and active BLS certification One Medical providers also demonstrate: • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a 40 hour/full-time role based in our Nomad office New York City, NY. One Medical is committed to fair and equitable compensation practices. The base hourly range for this role is $49.50 to $52.50 per hour (plus weekend differential) based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. For more information, visit _. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. This job posting is for current Residents / Fellows completing their training in 2026 or 2027 who are interested in any of our offices based in New York City. Why One Medical is the best place to launch your career in primary care: One Medical is transforming healthcare, and we're looking for dedicated primary care physicians to join us right out of residency. You'll practice in a supportive, tech-enabled environment where you can build lasting patient relationships and deliver high-quality care. Our robust 12-week onboarding includes one-on-one mentoring, an individualized learning plan, and ongoing access to primary care experts nationwide. From day one through every stage of your career, we invest in your growth with continuing education and leadership development. Employment type: • Full time What you’ll be working on: • Managing a patient panel with a broad array of patient needs; conducting a mix of acute, chronic, and well visits, • Treating patients in-office or in testing centers as well as conducting occasional tele-health visits, • Continuous learning during weekly Clinical Rounds and through other modalities, • Ongoing collaboration with in-office teammates via daily huddles, as well as with virtual clinical teams, • Utilization of your specific clinical training and opportunities to perform in-office procedures, • Supervising one or more NP or PA colleagues Education, licenses, and experiences required for this role: • Currently enrolled in, or completed within the last year, an accredited Family Medicine or Internal Medicine/Pediatrics residency program, • Must presently be a Board Eligible Family Medicine or Internal Medicine/Pediatrics Resident, or have completed a Family Medicine or Internal Medicine/Pediatrics Residency Program within the last calendar year and scheduled to take the next available Board Exam, • State licensed in New York, obtained before your One Medical start date One Medical providers also demonstrate: • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a full-time role based in one of our New York offices. During your interview process, we will determine the exact office location based on your preferences and business needs. One Medical is committed to fair and equitable compensation practices. The base salary range for this role is $184,600 to $290,800 based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. For more information, visit _. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. This job posting is for current Residents / Fellows completing their training in 2026 or 2027 who are interested in any of our offices based in New York City. Why One Medical is the best place to launch your career in primary care: One Medical is transforming healthcare, and we're looking for dedicated primary care physicians to join us right out of residency. You'll practice in a supportive, tech-enabled environment where you can build lasting patient relationships and deliver high-quality care. Our robust 12-week onboarding includes one-on-one mentoring, an individualized learning plan, and ongoing access to primary care experts nationwide. From day one through every stage of your career, we invest in your growth with continuing education and leadership development. Employment type: • Full time What you’ll be working on: • Managing a patient panel with a broad array of patient needs; conducting a mix of acute, chronic, and well visits, • Treating patients in-office or in testing centers as well as conducting occasional tele-health visits, • Continuous learning during weekly Clinical Rounds and through other modalities, • Ongoing collaboration with in-office teammates via daily huddles, as well as with virtual clinical teams, • Utilization of your specific clinical training and opportunities to perform in-office procedures, • Supervising one or more NP or PA colleagues Education, licenses, and experiences required for this role: • Currently enrolled in, or completed within the last year, an accredited Family Medicine or Internal Medicine/Pediatrics residency program, • Must presently be a Board Eligible Family Medicine or Internal Medicine/Pediatrics Resident, or have completed a Family Medicine or Internal Medicine/Pediatrics Residency Program within the last calendar year and scheduled to take the next available Board Exam, • State licensed in New York, obtained before your One Medical start date One Medical providers also demonstrate: • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues, • Readiness to adapt personal and interpersonal behavior to meet the needs of our patients This is a full-time role based in one of our New York offices. During your interview process, we will determine the exact office location based on your preferences and business needs. One Medical is committed to fair and equitable compensation practices. The base salary range for this role is $184,600 to $290,800 based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. For more information, visit _. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • PTO cash outs - Option to cash out up to 40 accrued hours per year Protecting your future for you and your family • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance In addition to the comprehensive benefits package outlined above, practicing clinicians also receive • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience, • Discounted rate to attend One Medical’s Annual REAL primary care conference One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the and for additional information.

About SelectTime SelectTime employees provide virtual expert services directly to Intuit’s customers, working year-round with flexible hours and schedules. This role has a minimum of 20 hours per week with the option to flex up to 40 hours per week based on business need. As an hourly, non-exempt position, this role is eligible for overtime pay. • Execute full-cycle payroll tax case work for assigned accounts: process payroll runs accurately, audit pre- and post-payroll output, manage tax filings and payments, and maintain compliance across all active jurisdictions., • Independently research and resolve complex State and Federal payroll tax notices, including balance-due notices, deposit discrepancies, SUI rate change notices, and account mismatch notices, owning each case from intake through confirmed closure., • Prepare written agency responses with complete supporting documentation; submit within agency-required deadlines and confirm receipt., • Prepare amended payroll tax returns (Form 941-X and state equivalents) independently on complex amendments while retaining ownership., • Support payroll correction workflows: identify the source of a payroll error, quantify tax impact across affected quarters, document the correction audit trail, and see the resolution through to completion., • Manage personal WIP queue with discipline: prioritize cases by SLA date, flag aging cases before they breach SLA, and maintain thorough case documentation from first touch to closure., • Perform high-level trend analysis of customer data, system data, and agency correspondence to identify process or system deficiencies., • Actively contribute to SOP and KB updates: flag outdated content, suggest revisions, and document solutions to previously unresolved issues., • Participate in cross-functional collaboration with Corrections, Amendments, Pay & File, and Tax Notice teams; serve as a role model for TP1 staff and actively seek coaching and development from Staff Payroll Tax Processor and managers., • 2–3+ years of hands-on payroll tax experience with a strong focus on notice resolution, amended return preparation, and payroll error correction across multiple states, not just general payroll administration., • Working knowledge of IRS and state agency notice types; able to read a notice, identify the type, understand the agency's claim, and determine the appropriate resolution path., • Demonstrated experience resolving State and Federal payroll tax notices independently, including balance-due notices, penalty assessments, SUI rate change notices, and deposit mismatch notices., • Comprehensive knowledge of tax payment and filing regulations; solid understanding of the distinction between employee and employer tax responsibilities across federal and state jurisdictions., • Hands-on experience preparing and approving amended Federal (Form 941-X, W-2c) and State payroll tax returns across all states, including jurisdictions with complex local requirements such as PA, OH, and more., • Deep knowledge of federal payroll tax law: FICA, FUTA, FITW, employment tax deposit schedules, and associated penalty and interest structures., • Multi-state payroll tax expertise: reciprocal agreements, resident and nonresident taxation, SUI account management, and local tax compliance across multiple jurisdictions., • Proficiency with at least one payroll platform and comfort navigating case management systems such as Salesforce., • Excel/Google Sheets skills required: VLOOKUP, pivot tables, and reconciliation auditing; able to trace a tax discrepancy through a spreadsheet independently., • Strong written and verbal communication skills; able to interact professionally with state and federal tax agencies and document case activity clearly and completely., • Associate's or Bachelor's degree in Accounting, Business, or Finance preferred; equivalent experience accepted., • Fundamental Payroll Certification (FPC) required; CPP preferred for candidates with 4+ years of experience. Active pursuit of CPP is viewed favorably. CPP holders will be evaluated for accelerated development., • Experience at a payroll service bureau, PEO, or multi-client payroll tax environment is a significant advantage. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is California (Bay Area): $36.00 - $49.00 Southern California: $36.00 - $49.00 Colorado: $27.00 - $36.50 District of Columbia: $27.00 - $36.50 Hawaii: $28.50 - $38.50 Illinois: $27.00 - $36.50 Maine: $25.00 - $33.50 Maryland: $27.00 - $36.50 Massachusetts: $28.50 - $38.50 Minnesota: $25.00 - $33.50 New Jersey: $28.50 - $38.50 New York: $29.50 - $34.47 Ohio: $25.00 - $33.50 Vermont: $27.00 - $36.50 Virginia: $27.00 - $36.50 Washington: $28.50 - $38.50 This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at _). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

About SelectTime SelectTime employees provide virtual expert services directly to Intuit’s customers, working year-round with flexible hours and schedules. This role has a minimum of 20 hours per week with the option to flex up to 40 hours per week based on business need. As an hourly, non-exempt position, this role is eligible for overtime pay. • Execute full-cycle payroll tax case work for assigned accounts: process payroll runs accurately, audit pre- and post-payroll output, manage tax filings and payments, and maintain compliance across all active jurisdictions., • Independently research and resolve complex State and Federal payroll tax notices, including balance-due notices, deposit discrepancies, SUI rate change notices, and account mismatch notices, owning each case from intake through confirmed closure., • Prepare written agency responses with complete supporting documentation; submit within agency-required deadlines and confirm receipt., • Prepare amended payroll tax returns (Form 941-X and state equivalents) independently on complex amendments while retaining ownership., • Support payroll correction workflows: identify the source of a payroll error, quantify tax impact across affected quarters, document the correction audit trail, and see the resolution through to completion., • Manage personal WIP queue with discipline: prioritize cases by SLA date, flag aging cases before they breach SLA, and maintain thorough case documentation from first touch to closure., • Perform high-level trend analysis of customer data, system data, and agency correspondence to identify process or system deficiencies., • Actively contribute to SOP and KB updates: flag outdated content, suggest revisions, and document solutions to previously unresolved issues., • Participate in cross-functional collaboration with Corrections, Amendments, Pay & File, and Tax Notice teams; serve as a role model for TP1 staff and actively seek coaching and development from Staff Payroll Tax Processor and managers., • 2–3+ years of hands-on payroll tax experience with a strong focus on notice resolution, amended return preparation, and payroll error correction across multiple states, not just general payroll administration., • Working knowledge of IRS and state agency notice types; able to read a notice, identify the type, understand the agency's claim, and determine the appropriate resolution path., • Demonstrated experience resolving State and Federal payroll tax notices independently, including balance-due notices, penalty assessments, SUI rate change notices, and deposit mismatch notices., • Comprehensive knowledge of tax payment and filing regulations; solid understanding of the distinction between employee and employer tax responsibilities across federal and state jurisdictions., • Hands-on experience preparing and approving amended Federal (Form 941-X, W-2c) and State payroll tax returns across all states, including jurisdictions with complex local requirements such as PA, OH, and more., • Deep knowledge of federal payroll tax law: FICA, FUTA, FITW, employment tax deposit schedules, and associated penalty and interest structures., • Multi-state payroll tax expertise: reciprocal agreements, resident and nonresident taxation, SUI account management, and local tax compliance across multiple jurisdictions., • Proficiency with at least one payroll platform and comfort navigating case management systems such as Salesforce., • Excel/Google Sheets skills required: VLOOKUP, pivot tables, and reconciliation auditing; able to trace a tax discrepancy through a spreadsheet independently., • Strong written and verbal communication skills; able to interact professionally with state and federal tax agencies and document case activity clearly and completely., • Associate's or Bachelor's degree in Accounting, Business, or Finance preferred; equivalent experience accepted., • Fundamental Payroll Certification (FPC) required; CPP preferred for candidates with 4+ years of experience. Active pursuit of CPP is viewed favorably. CPP holders will be evaluated for accelerated development., • Experience at a payroll service bureau, PEO, or multi-client payroll tax environment is a significant advantage. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is California (Bay Area): $36.00 - $49.00 Southern California: $36.00 - $49.00 Colorado: $27.00 - $36.50 District of Columbia: $27.00 - $36.50 Hawaii: $28.50 - $38.50 Illinois: $27.00 - $36.50 Maine: $25.00 - $33.50 Maryland: $27.00 - $36.50 Massachusetts: $28.50 - $38.50 Minnesota: $25.00 - $33.50 New Jersey: $28.50 - $38.50 New York: $29.50 - $34.47 Ohio: $25.00 - $33.50 Vermont: $27.00 - $36.50 Virginia: $27.00 - $36.50 Washington: $28.50 - $38.50 This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at _). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering. Key job responsibilities Search Supply and Experiences, within Sponsored Products, is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model– and leveraging this knowledge to help turn the flywheel of the business. As a Senior Applied Scientist on this team you will: --Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects. --Lead technical efforts within this team and across other teams. --Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production. --Run A/B experiments, gather data, and perform statistical analysis. --Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. --Work closely with software engineers to assist in productionizing your ML models. --Research new machine learning approaches. --Recruit Applied Scientists to the team and act as a mentor to other scientists on the team. A day in the life The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must. About the team We are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon • 3+ years of building machine learning models for business application experience, • PhD, or Master's degree and 6+ years of applied research experience, • Experience programming in Java, C++, Python or related language, • Experience with neural deep learning methods and machine learning, • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc., • Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you are energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The Sponsored Products and Brands -- Offsite team builds solutions that extend campaigns beyond the Amazon store, reaching shoppers across third-party environments where they discover and shop. We combine large-scale, low-latency systems with advanced machine learning and AI to deliver high-quality sponsored experiences in high-intent surfaces. Key job responsibilities As a Senior Applied Scientist on this team, you will: • Effectively communicate technical and non-technical ideas with teammates and stakeholders, adjusting your delivery to the audience to maximize impact., • Drive or heavily influence the design of scientifically-complex software solutions or systems. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones., • Define a long-term science vision and roadmap for our Offsite advertising business, driven from our customers' needs. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding., • Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end., • Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses., • Identify opportunities where GenAI solutions can accelerate learning and efficiency, and drive greater advertiser outcomes., • Mentor and guide junior scientists, fostering a collaborative and high-performing team culture., • Stay up-to-date with advancements and the latest modeling techniques in the field, • 3+ years of building machine learning models for business application experience, • PhD, or Master's degree and 6+ years of applied research experience, • Experience programming in Java, C++, Python or related language, • Experience with neural deep learning methods and machine learning, • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc., • Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually

We are seeking an Senior Applied Scientist for our Entertainment Devices & Grocery Experiences (EDGE) Ads team. This team addresses challenging content and ads optimization problem related to how advertisements are priced, selected, allocated and shown to customers on Amazon devices including Prime Video, Fire TV, Alexa, Fire Tablet and Amazon Stores. As Senior Applied Scientist, you will be responsible for improving advertising performance and delivering innovative advertising experiences for display and video ads on Amazon Devices. We are innovating for the next generation of conversational ads and agentic ai driven ads experience. This team leads initiatives to improve advertising fundamentals such as relevance, coverage, CTR, and CPSU (cost per sign up for streaming services) which in turn increase advertising revenue across Amazon's devices worldwide. You will own the scoping, implementation, and launch of science based ad solutions and experiences specifically for these entertainment focused environments. Key job responsibilities • Gain a comprehensive understanding of the customer lifecycle journey with Amazon Ads, and develop sophisticated models to optimize various conversion KPIs for enhanced marketing effectiveness., • Develop scalable data processing pipelines and architectures to ingest, transform, and enrich Customer data from various sources (Retail, Prime Video, FireTV, Alexa+ and AppStore)., • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with product managers and engineers to launch your models to customers., • Drive innovation within your team and partner closely with other scientists, engineers and Product Managers to build science roadmaps, • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving., • Stay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, multi-modal learning and related fields, and identify opportunities to apply them to Advertising Use Cases., • We are looking for world class researchers with experience in one or more of the following areas of Agentic AI for ads targeting - autonomous agents, multi agent orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making., • Effectively communicate complex science problems and solutions to both technical and non-technical audiences. A day in the life In this role, you will regularly work with scientists and technical leaders across the advertising organization, including other science teams, product management, and senior leadership. You will also collaborate with science leaders across Amazon Devices and Prime Video organizations to build company-wide alignment. You will manage and work closely alongside your team of applied and data scientists to guide them through high-ambiguity problems and deliver robust, scalable solutions. About the team This role is on Device Ads and Personalization (DAPP) team, which is under Amazon Publisher Monetization (APM). This team has a vision to create innovative Ad experiences on Amazon Devices, providing customers better convenience and more selection. • 5+ years of building machine learning models for business application experience, • PhD, or Master's degree and 6+ years of applied research experience, • Experience programming in Java, C++, Python or related language, • Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects), • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc., • Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually USA, MA, Boston - 167,100.00 - 226,100.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually

We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities • Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product, • Define standard product models and product-relationship patterns for different service categories, • Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration, • Architect agent-readable product metadata standards for AI consumption across internal and external experiences, • Drive adoption of product standards across new offerings and established catalog systems, • Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements, • Partner with engineering teams across AWS's billing, metering, and cost management organizations, • 3+ years of working as a Technical Product Manager experience, • Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs, • Experience in taking a product from conception & definition phase through engineering design and taking it to market, • Bachelor's degree in computer science, engineering, math, finance, or economics, • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations, • Experience working within teams delivering software products and features using agile methodologies, • 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience, • Experience developing, deploying and managing AI products at scale, • Experience with billing, commerce, or catalog systems, • Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 167,400.00 - 226,500.00 USD annually

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Title: Registered Nurse Company: Oak Street Health Role Description: The Center Nurse is a clinical care team member operating within a Value-Based Care model, which prioritizes patient health outcomes and long-term wellness. In this model, the Center Nurse supports the health of patients by utilizing standards, guidelines and pathways for care delivery to prevent complications before they occur. Our Center Nurses drive quality care through clinical assessments, chronic condition management, and collaborating with the care team to reduce avoidable hospitalizations. You will foster an engaging and welcoming environment through effective team communication and delegation, empowering everyone on the team to deliver the best care to our patients. Our Center Nurses report to the Practice Manager. Core Responsibilities: Support patient assessment and prioritization for both walk-in and telephonic triage to ensure patients receive the right level of care and avoid unnecessary hospital visits. Execute protocol-driven chronic condition management. Perform skilled nursing procedures including wound care and medication administration (including vaccines). Provide comprehensive patient and caregiver education regarding chronic conditions and preventative care in person, over the phone, or in group settings. Conduct medication reviews within nurse-led visits to ensure patient safety and adherence. Conduct onsite testing (including point-of-care labs, EKGs, and specimen collection) and use patient data to identify and close gaps in preventative screenings, ensuring compliance with state scope of practice. Review and act upon high-priority abnormal laboratory results in a timely manner to maintain patient safety and continuity of care. Partner with providers and the interdisciplinary team to manage complex care plans and coordinate weekly transitions for patients moving from the hospital back to the clinic. Utilize standardized protocols for medication management, prescription renewals and prior authorizations. Ensures clinical communications are managed, tasks are completed and patient visit encounters are closed in a timely manner. Delegates to medical assistants and phlebotomists as needed to support patient flow and efficiency. Performs other related duties as assigned. Clinical Responsibilities: Supports the coordination, integration, communication, and implementation of nursing practice and standard operating procedures. Identifies barriers to optimal care, e.g. physical, cognitive, language, literacy, socioeconomic, cultural, and or behavioral. Create a welcoming and engaging environment to meet the needs of our patients, communities, families and teams where they are. Deliver an exceptional patient experience through service, responsiveness and respectful care. Serve as a key clinical voice in daily care team meetings to align on patient priorities and clinic operations. Serves as a support and resource for nursing, other clinical staff and providers. Ensures clinical compliance with Patient Safety initiatives and reporting. Provides emergency care in accordance with organizational procedure. Professional Responsibilities: Engages in self-evaluation and participates in activities to promote own professional growth and development. Seeks, acquires and maintains current nursing knowledge and competence to fulfill responsibilities as a Center Nurse. Maintains awareness of current patient centered, evidence-based practice and considers applicable research data to patient care delivery. Fulfills obligation to identify and report professional misconduct appropriately. What we're looking for Required Qualifications: Active, Unrestricted Registered Nurse Licensure in the state that you reside BLS or CPR Certification Fluent written and spoken English language skills. US work authorization Electronic Medical Record (EMR) experience Ability to maintain patient confidentiality and process information in a confidential manner Ability to assess patients without face-to face interaction, strong communication and assessment skill Strongly Preferred Qualifications: • Ability to collaborate and communicate with members of an interdisciplinary care team, • Excellent computer skills with ability to read, interpret and analyze data from various computer systems, • Effective problem solving and prioritization skills, • 2+ years of healthcare experience, working as an RN Preferred Qualifications: • Previous experience in clinic setting, • Ability to work independently, • Fluency in Spanish, Polish, Russian, or other languages spoken by people in the communities we serve Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $72,627.00 - $155,538.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on _. We anticipate the application window for this opening will close on: 12/04/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking SVP Risk Engineering professional to join our Risk Engineering team in New York. In this role, you'll make an impact in the following ways: • Lead the design, development, and modernization of strategic risk platforms supporting Credit Risk, Market Risk, Counterparty Credit Risk, Treasury Risk, and enterprise Risk Intelligence capabilities., • Drive the architecture and implementation of scalable, distributed systems responsible for risk calculations, analytics, data processing, regulatory reporting, and risk intelligence workflows., • Partner closely with Risk Managers, Quantitative Research teams, Business stakeholders, and senior technology leaders to translate complex business requirements into robust engineering solutions., • Lead a global team of software engineers and technical specialists, driving execution excellence, engineering discipline, and measurable business outcomes., • Build and enhance next-generation risk engines, data platforms, and risk intelligence platforms capable of supporting large-scale analytics, scenario analysis, stress testing, valuation, and exposure calculations., • Establish technology strategies leveraging cloud, distributed computing, parallel processing, AI, and modern data architectures to improve scalability, resiliency, and operational efficiency., • Drive delivery of high-impact initiatives while maintaining strong controls, data quality, platform stability, and regulatory compliance., • Contribute as a hands-on technical leader by influencing architecture decisions, troubleshooting complex engineering challenges, reviewing designs, and mentoring engineering teams., • Foster strong collaboration across global development teams to accelerate innovation and standardize engineering best practices., • Champion a culture of accountability, continuous improvement, technical excellence, and client-focused delivery. To be successful in this role, we're seeking the following: • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline. Advanced degree preferred., • 10+ years of software engineering experience within financial services, with significant experience building and operating enterprise-scale risk, trading, or data platforms., • Proven track record designing and implementing risk engines, risk intelligence platforms, enterprise data platforms, or large-scale analytical systems., • Strong hands-on expertise in Python, PySpark, distributed computing, parallel processing, and large-scale data engineering., • Experience developing modern web applications and user experiences using Angular and/or React., • Deep understanding of software architecture, distributed systems design, microservices, event-driven architectures, and cloud-native technologies., • Experience partnering with Quantitative Research teams and implementing analytical models supporting credit risk, market risk, stress testing, pricing, exposure calculations, or related risk disciplines., • Demonstrated ability to manage complex stakeholder relationships across business, quantitative, risk, and technology organizations., • Strong leadership experience managing globally distributed engineering teams and delivering large-scale transformation initiatives., • Excellent communication, influencing, and strategic planning skills., • Ability to balance hands-on technical leadership with delivery execution in a fast-paced and highly regulated environment. At BNY, our culture speaks for itself, check out the latest BNY news at: _ _ Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

Job DescriptionBenefits: • Competitive salary, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development Stanley Lewis Plumbing & Heating Corp. is seeking a highly experienced Heating Technician to join our rapidly growing, family-owned company. We are looking for professionals who take pride in their craft, work independently, and know how to find answers when challenges arise. PLEASE READ THIS POST CAREFULLY. APPLY ONLY IF YOU MEET THE REQUIREMENTS. ???? A valid, clean driver’s license is REQUIRED — NO EXCEPTIONS ⏱️ Reliability is mandatory About Us Located in Brooklyn, Stanley Lewis Plumbing & Heating is a full-service plumbing and heating company specializing in residential and commercial renovations, installations, maintenance, service, and repairs. We are known for professionalism, craftsmanship, and excellent customer service. We are a small but expanding company, offering technicians real opportunity to grow, earn, and be valued for their expertise. Position Overview We are hiring experienced Heating Technicians who can confidently troubleshoot, diagnose, and repair heating systems with minimal supervision. This role is ideal for a self-starter who knows how to think critically, research solutions, and leverage resources such as manufacturer tech support and online documentation when needed. Full-Time and Freelance (1099) positions available. Key Responsibilities • Troubleshoot, diagnose, and repair:, • Gas hot-water and steam boilers, • Wall-hung gas and electric units, • Furnaces and HVAC systems (strong plus), • Service hot water and steam heating systems, • Identify and resolve system failures efficiently and accurately, • Communicate clearly with customers and team members, • Maintain a high standard of workmanship and professionalismRequired Experience & Technical Skills, • Minimum 8 years of hands-on experience working with heating systems, • Strong troubleshooting and diagnostic skills, • Experience with:, • Wall-hung boilers, • Conventional cast-iron boilers, • Hot water and steam systems, • Gas and electric water heaters, • Experience installing packaged and sectional gas-fired steam and hot-water boilers is a plus, • Knowledge of furnaces and HVAC systems is a strong plus, • Proficient with an electronic multi-tester, • Solid understanding of:, • Low-water cut-offs, • Fill valves, • Flame-out sensors, • Aquastats, • Relief valves, • Expansion tanks, • Flue piping, • Thermocouples, • Gas valves, • Other related boiler components, • Ability to wire new boilers is a plusWhat We’re Looking For, • Self-starter mentality — you don’t wait to be told what to do, • Ability to find answers independently by:, • Calling manufacturers, • Using online technical resources and manuals, • Strong problem-solving skills, • Efficient, accurate execution of work, • Excellent customer service and communication skills, • Professional appearance and conductRequirements, • Clean, valid driver’s license (not suspended or revoked, low/no points), • Dependable, punctual, and accountable, • Authorized to work in the U.S.Compensation & Benefits, • Competitive pay based on experience, • Performance-based bonuses, • Health insurance, • Paid vacation, holidays, and sick time, • Steady work with a growing company that values skilled technicians

ABA Therapist \n Job Summary: \n As an ABA Therapist at Golden Care Therapy NY, you will play a vital role in helping children with Autism achieve their full potential. Our team of dedicated and experienced therapists and supervisors are committed to providing high-quality ABA Therapy services that meet the unique needs of each child. We are seeking a compassionate and skilled ABA Therapist to join our team in New York, New York, United States. \n Responsibilities: \n\n • \n Conduct ABA Therapy sessions with children diagnosed with Autism, using evidence-based treatment approaches to promote developmental gains and skill acquisition \n • \n Develop and implement individualized treatment plans in collaboration with parents, supervisors, and other interdisciplinary team members \n • \n Provide Parent Training and support to empower families to continue ABA Therapy practices at home \n • \n Maintain accurate and detailed records of therapy sessions, progress, and billing information \n • \n Collaborate with other therapists and supervisors to ensure continuity of care and share best practices \n • \n Participate in ongoing training and professional development to stay current with ABA Therapy research and evidence-based practices \n\n About the Role: \n As an ABA Therapist at Golden Care Therapy NY, you will have the opportunity to make a meaningful impact on the lives of children with Autism. Our team is dedicated to providing a supportive and collaborative work environment that fosters growth and development. We are proud to offer a unique and personalized approach to ABA Therapy, combining expertise, compassion, and a commitment to excellence. \n Working with Us: \n At Golden Care Therapy NY, we are committed to Reaching Hearts. Building Futures. We believe that every child deserves access to high-quality ABA Therapy services, and we are dedicated to making this vision a reality. If you share our passion for helping children with Autism thrive, we encourage you to join our team. \n How to Apply: \n If you are a motivated and compassionate ABA Therapist looking for a new challenge, we invite you to apply for this rewarding role. Please submit your application to join our team and help change the lives of children with Autism. \n Golden Care Therapy NY. Reaching Hearts. Building Futures.

\n PT Solutions Physical Therapy is seeking a Outpatient Physical Therapist for a job in Bayonne, New Jersey. Job Description & Requirements\n \n • Specialty: Physical Therapist\n, • Discipline: Therapy\n, • Duration: Ongoing\n, • Employment Type: Staff\n \n Job Overview & Responsibilities: \n Are you passionate about expanding access to transformative care, leading the way in innovative therapy practices, and pursuing clear, tangible pathways for professional growth and development? At PT Solutions, we’re hiring for full-time Physical Therapists who are ready to elevate their careers while making a real difference in the lives of patients and communities. \n \n Why Join PT Solutions? \n \n Recognized as a USA Today Top Workplace four years in a row, including 2025! \n \n From orthopedic to sports medicine and pelvic health to neurologic rehab, you will gain exposure to a diverse caseload and services that fuel your professional passion. \n \n What You’ll Receive \n \n • A six-week onboarding program called Vitals+ that introduces clinical tools and resources while providing documentation tips and tricks.\n, • Access to mentorship programs.\n, • In-house ABTPRFE-accredited residency style programs to support specialty development. Please check out our careers page here to learn more about our programs. Careers at PT Solutions | PT Solutions jobs\n, • Free, in-house continuing education courses, access to a library of free research articles, and opportunities to publish your research.\n, • Limber Health software to help improve in-clinic patient care with at-home support through digital technology, data analytics, home exercise programs, and more.\n, • Monthly incentive earnings tied to daily average patient caseload.\n, • Growth-minded culture with clearly defined pathways to leadership roles.\n \n Compensation & Bonus Structure \n \n • Base Salary: $85,000–$110,000/year (based on experience and market factors) \n, • Monthly Incentive Bonuses for exceeding daily visit thresholds \n, • Sign-On Bonus: Up to $10,000 available in select locations! \n \n Benefits Designed for You \n \n At PT Solutions, we offer a comprehensive, people-first benefits package that supports your growth, your well-being, and your life outside the clinic. We offer more than just the standard; we offer comprehensive medical (3 different plans), dental, vision, employer-paid life insurance, critical care and accident insurance, legal plans and employer-paid mental health support. In addition, we offer generous PTO and holiday pay AND 160 hours in extended illness hours. [varies by location] \n \n Financial Wellness & Professional Support \n \n • 401(k) with company contribution\n, • Reimbursement for professional dues and license renewals \n, • Reimbursement for endurance race entry fees \n \n What You’ll Do: \n \n • Conduct comprehensive evaluations and treatments for patients with orthopedic and musculoskeletal conditions, providing education tailored to individual needs within an interdisciplinary environment.\n, • Design personalized, evidence-based treatment plans. \n, • Efficiently manage patient documentation and workflow within the EMR system.\n Requirements & Pay Range: \n Requirements: \n \n • Graduate of a CAPTE-accredited PT program \n, • Current or pending state licensure\n, • BLS certification\n, • Strong interpersonal skills and team-oriented mindset \n, • Ability to manage a full clinical caseload (10–12 patients/day)\n \n Location \n Clinic Address: 534 Broadway, Bayonne, NJ Company Overview: \n A Top Workplace \n \n At PT Solutions, we’re more than colleagues; we’re a tight-knit community united in our mission to expand access to quality care. Our commitment to you is evident in our industry-leading professional development opportunities. From ongoing evidence-based clinical education to dedicated mentorship opportunities and an APTA-accredited Orthopedic Residency Program, we propel our clinicians toward excellence in physical therapy, occupational therapy, speech-language pathology, and athletic training. \n \n PT Solutions has been named a 2026 USA Today Top Workplace for the fifth consecutive year, based entirely on employee feedback. We’ve also earned five Culture Excellence Awards for Innovation, Professional Development, Work-Life Flexibility, Appreciation, and Purpose & Values. This recognition reflects a culture built around supporting our people. It’s not just what we do, but how we make people feel. Through human connection, intentional care, and being all in for one another, we create experiences that make a difference. Because together, we do great better. \n \n Let’s go further together and transform care. Join the #PTSLife today! To see what #PTSLife is like, visit Instagram, Facebook, and LinkedIn. \n \n We are an equal opportunity employer and welcome all qualified candidates to apply! \n \n PT Solutions Physical Therapy Job ID #2026-16800. Posted job title: Physical Therapist - Outpatient About PT Solutions Physical Therapy\n \n At PT Solutions, your career is more than just a job — it's a chance to intentionally grow, lead, and make a lasting impact. We're all in on helping you reach your full potential through dedicated mentorship and residency programs, development & leadership opportunities, and a culture that celebrates success. With more than 650 locations across 23 states, we're driven by a shared passion for rehabilitation therapy, blending clinical expertise, innovative science, and best-in-class learning and continuing education to deliver transformative care to patients and communities. As a Top Workplace for five consecutive years, we know that exceptional patient outcomes start with strong human connections. That's why we've built a culture rooted in togetherness, where you'll feel supported, valued, and empowered to do your best work. \n Benefits\n \n • Discount program\n \n

\n Montefiore Medical Center is seeking a Radiology Technician Assistant for a job in Bronx, New York. Job Description & Requirements\n \n • Specialty: Radiology Technician\n, • Discipline: Allied Health Professional\n, • Start Date: ASAP\n, • Duration: Ongoing\n, • Employment Type: Staff\n \n \n City/State: Bronx, New York\n Grant Funded: No\n Department: RAD - Technical Moses\n Work Shift: Evening\n Work Days: ALTERNATE WEEKENDS\n Scheduled Hours: 12 PM - 12 AM\n Scheduled Daily Hours: 12 HOURS\n Pay Range: $88.00-$110.00\n \n \n \n Job Summary \n The Assistant Chief Technologist oversees daily imaging operations at the Moses Division, coordinating staff and resources to ensure efficient patient throughput. This role ensures a safe, high-quality clinical environment that meets the needs of patients and physicians, while maintaining compliance with regulatory and safety standards. The position also supports staff training, competency, and workflow optimization. \n \n Key Responsibilities \n \n • Supervise and coordinate daily imaging operations, staff, and resource allocation\n, • Ensure technical staff competency and adherence to imaging protocols and quality standards\n, • Assign schedules and ensure adequate 24/7 staffing coverage\n, • Maintain compliance with radiation safety, departmental policies, and regulatory requirements\n, • Promote patient and staff safety and continuous quality improvement\n, • Conduct monthly quality assurance reviews and report findings\n, • Train and support staff in PACS, Epic, and related imaging systems\n, • Monitor workflows to improve efficiency and service delivery\n \n Schedule \n \n • Elongated shifts every other weekend: Saturday & Sunday: 12:00 PM – 12:00 AM\n \n \n Qualifications \n \n • Bachelor’s degree preferred or equivalent experience\n, • NYS Department of Health Licensed Radiologic Technologist required\n, • ARRT Registered Radiologic Technologist with CT or MRI certification required\n, • Prior experience in imaging operations or supervisory role\n, • Strong knowledge of imaging protocols, radiation safety, and regulatory compliance\n, • Proficiency with PACS, Epic, and imaging systems\n, • Demonstrated leadership, organizational, and communication skills\n \n \n Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.\n \n Montefiore Medical Center Job ID #JR227833. Posted job title: ASSISTANT CHIEF TECHNICIAN RADIOLOGY About Montefiore Medical Center\n \n Montefiore, the University Hospital for Albert Einstein College of Medicine, is one of nation's largest academic medical centers. Those who work here are driven by a passion to serve and a desire to provide excellent care to all. We are a growing organization and one of New York’s top employers. \n Join us as we further our reputation as a leader in clinical care, healthcare research, education and social commitment. \n \n

\n Montefiore Medical Center is seeking a MRI Technologist for a job in Bronx, New York. Job Description & Requirements\n \n • Specialty: MRI Technologist\n, • Discipline: Allied Health Professional\n, • Start Date: ASAP\n, • Duration: Ongoing\n, • Employment Type: Staff\n \n \n City/State: Bronx, New York\n Grant Funded: No\n Department: RAD - Technical Moses\n Bargaining Unit: 1199\n Work Shift: Day\n Work Days: ALTERNATE WEEKENDS\n Scheduled Hours: 8 AM-4:30 PM\n Scheduled Daily Hours: 7.5 HOURS\n Hourly Rate: $55.14\n \n For positions that have only a rate listed, the displayed rate is the hiring rate but could be subject to change based on shift differential, experience, education or other relevant factors. \n \n To learn more about the “Montefiore Difference” – who we are at Montefiore and all that we have to offer our associates, please click here. \n \n Job Summary \n Under the direction of radiologist, performs MRI Procedures at a technical level not requiring constant supervision of technical detail. Performs a variety of technical procedures that will require independent judgement, with ingenuity and initiative to apply prescribed ionizing radiation for imaging diagnosis. Assumes responsibility for designated areas or procedures as required. Essential Functions \n \n • \n Patient and Room Preparation: This task includes a) entering patient data into Epic and other appropriate computer systems as necessary. b) Placing the patient on the scan table in the correct position for the scan to be performed. c) Obtain appropriate scout image for procedure. \n • \n Obtain cross sectional images: This task includes the proper setting of protocols and sequences to obtain high quality images for diagnosis by the radiologist. \n • \n Direct involvement during procedure: This task involves a) the assistance at the side of the radiologist during biopsy procedures as needed. b) Constant attention to the progression of the procedure while in the control room, monitoring progression of biopsy procedure c) Involved with operating injector when necessary. \n • \n Photographing and processing of images: This task includes photographing and labeling scan images, processing and displaying final images on viewing machines for radiologist interpretation. \n • \n Maintain all necessary records of image slices, injections, etc. \n • \n Observe all rules and regulations regarding radiation safety for patients and staff. \n • \n Train other associates and students in MRI procedures. \n • \n Maintain orderliness and cleanliness of assigned area. \n • \n Perform duties of a 4T technologist as needed. \n • \n Perform other related assigned tasks \n \n Requirements \n \n • \n High School Diploma or equivalent \n • \n Satisfactory completion of a formal radiologic technology training program \n • \n MRI Systems \n • \n Radiographic film processor \n • \n Epic tracking equipment \n • \n NYS Registered Radiologic Technologist with Injection \n • \n ARRT certification in MRI \n • \n OHS Fit Test/OHS Annual Assessment \n \n \n \n Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.\n \n Montefiore Medical Center Job ID #JR232832. Posted job title: MRI Technologist About Montefiore Medical Center\n \n Montefiore, the University Hospital for Albert Einstein College of Medicine, is one of nation's largest academic medical centers. Those who work here are driven by a passion to serve and a desire to provide excellent care to all. We are a growing organization and one of New York’s top employers. \n Join us as we further our reputation as a leader in clinical care, healthcare research, education and social commitment. \n \n

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

\n Montefiore Medical Center is seeking a CRNA Anesthesia for a job in Bronx, New York. Job Description & Requirements\n \n • Specialty: Anesthesia\n, • Discipline: CRNA\n, • Start Date: ASAP\n, • Duration: Ongoing\n, • Employment Type: Staff\n \n \n City/State: Bronx, New York\n Grant Funded: No\n Department: Department Of Anesthesiology\n Bargaining Unit: NYSNA\n Work Shift: Day\n Work Days: MON-FRI\n Scheduled Hours: 7 AM-5:30 PM\n Scheduled Daily Hours: 9.5 HOURS\n Hourly Rate: $131.28\n \n For positions that have only a rate listed, the displayed rate is the hiring rate but could be subject to change based on shift differential, experience, education or other relevant factors. \n \n To learn more about the “Montefiore Difference” – who we are at Montefiore and all that we have to offer our associates, please click here. \n \n This vacancy will be posted on internal Career Website for 10 work days. \n Associates are eligible to apply for a transfer after completion of one (1) year of service in their present position, with the following exception: an Associate who has received a written warning is not eligible for a transfer/promotion prior to six (6) months from date of issuance; an Associate who has been suspended is not eligible for transfer/promotion prior to one (1) year from date of suspension. Probationary period is four (4) months for full-time employees, and six (6) months for part-time employees. \n Job Summary: \n As a Certified Registered Nurse Anesthetist (CRNA), you will provide general and regional anesthesia services to patients under the supervision of an attending anesthesiologist. The CRNA will also provide preoperative anesthesia services in the Pre-Anesthesia Assessment Center in collaboration with the attending anesthesiologist. \n \n Job Responsibilities: \n \n • Prepare the anesthesia cart and necessary supplies.\n, • Prepare and check the anesthesia machine prior to procedures.\n, • Requisition, prepare, and label perioperative medications.\n, • Conduct preoperative patient evaluations.\n, • Obtain appropriate intravenous access.\n, • Apply all required patient monitoring equipment.\n, • Document all anesthesia department records in a timely and legible manner.\n, • Document all perioperative pharmacological interventions.\n, • Document all perioperative non-pharmacological interventions and events on the anesthesia record.\n, • Provide patient report to PACU nursing staff following procedures.\n, • Maintain a clean and safe environment in the operating room and anesthesia areas.\n, • Notify anesthesia technicians of equipment issues or supply needs.\n, • Maintain accurate counts of all controlled substances used.\n \n \n Job Requirements: \n \n • Doctor of Nursing Practice (DNP) or Doctor of Nurse Anesthesia Practice (DNAP) from an accredited Nurse Anesthesia program recognized by the Council on Accreditation of Nurse Anesthesia Educational Programs (COA).\n, • Certification by the National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA).\n, • Basic Life Support (BLS) and Advanced Cardiac Life Support (ACLS) certifications\n \n \n Montefiore, DOING MORE \n DOING MORE means building on a history of firsts to create the future of healthcare. For over 100 years, we've been pushing the boundaries of medicine with innovations such as the intravenous cardiac pacemaker and one of the nation's first pediatric kidney transplants. As we move forward, we seek professionals who want to join our team of leaders and trailblazers to advance the health of our communities. Montefiore Medical Center is the teaching hospital for the Albert Einstein College of Medicine and is in the Bronx, a short drive or public transit commute from Manhattan and also easily accessible from Westchester County, Long Island and northern New Jersey. \n \n Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.\n \n Montefiore Medical Center Job ID #218011. Posted job title: REGISTERED CRNA About Montefiore Medical Center\n \n Montefiore, the University Hospital for Albert Einstein College of Medicine, is one of nation's largest academic medical centers. Those who work here are driven by a passion to serve and a desire to provide excellent care to all. We are a growing organization and one of New York’s top employers. \n Join us as we further our reputation as a leader in clinical care, healthcare research, education and social commitment. \n \n

\n Montefiore Medical Center is seeking a Registered Nurse (RN) ED - Emergency Department Level I for a nursing job in Bronx, New York. Job Description & Requirements\n \n • Specialty: ED - Emergency Department\n, • Discipline: RN\n, • Start Date: ASAP\n, • Duration: Ongoing\n, • Employment Type: Staff\n \n \n City/State: Bronx, New York\n Grant Funded: No\n Department: ED - Nursing Einstein\n Bargaining Unit: NYSNA\n Work Shift: Day\n Work Days: ALTERNATE WEEKENDS\n Scheduled Hours: 7 AM-7:30 PM\n Scheduled Daily Hours: 11.5 HOURS\n Hourly Rate: $62.63\n \n For positions that have only a rate listed, the displayed rate is the hiring rate but could be subject to change based on shift differential, experience, education or other relevant factors. \n \n To learn more about the “Montefiore Difference” – who we are at Montefiore and all that we have to offer our associates, please click here. \n \n Job Summary \n The Montefiore RN maintains standards of the practice for nursing as defined by the American Nurses Association Code of Ethics, Nursing Scope and Standards of Practice and Nursing's Social Policy Statement. \n The Registered Nurse actualizes the vision, mission, values, balanced scorecard performance measures for Montefiore Medical Center. \n The RN participates in performance improvement/research activities; maintains professional practice standards and clinical expertise; and demonstrates leadership skills. The RN demonstrates core and unit specific competencies based on the patient population served. Essential Functions \n \n • Demonstrates leadership skills in the coordination and delivery of patient care. \n * Coordinates an interdisciplinary plan of care. \n * Assures 100% assigned patients have a documented plan of care. \n * Ensures completion of patient care assignment 100% of time. \n * Interdisciplinary plan of care is congruent with accepted LOS parameters for all assigned patients. \n *Delegates aspects of care of the patient to team members consistent with capabilities and responsibilities of caregiver. \n * Ensures that delegated aspects of care are completed in accordance with established standards of practice. \n * Negotiates with team member if unable to fulfill role responsibilities; escalates as per MMC policy and procedure. \n * Establishes a therapeutic relationship with patient/family. \n * Assumes charge nurse assignment. \n * Participates in the orienting and development of associates by mentorship and assigned preceptorship. \n * Patient/family wishes related to care decisions are assessed and documented.\n • Systematically assesses the health care of patients/families and responses to care rendered. \n * Completes 100% of admission assessment within 8 hours. \n * Completes documentation reflecting interdisciplinary team approach as per policy. \n * Documentation reflects systematic and continuous collection of data. \n * Documents teaching/learning needs of patients and families prior to discharge. \n * Assesses, evaluates and documents patient's response to nursing and interdisciplinary team interventions, including patient/family teaching. \n * Initiates a teaching and discharge plan for 100% of assigned patients within 24 hours of admission. Modifies plan of care through prioritization of patient/family needs and interdisciplinary orders\n • Demonstrates critical thinking skills to problem solve and initiate clinical decision making. \n * Takes action to optimize achievement of patient outcomes. \n * Participates in identification, Investigation and resolution of actual and/or potential risk management/quality care/ethical issues. \n * Incorporates effective problem solving/conflict resolution/consensus building into daily practice.\n • Evaluates patient progress toward health goals and modifies critical path or plan of care accordingly. \n * Identifies variances to plan of care. \n * Initiates appropriate interventions to amend identified variances from plan of care. \n * Documents patient and family response to interventions and modifies plan of care as needed. Reviews plan of care daily and/or updates it to reflect current status of patient. \n * Consistently participates and communicates in daily IDT rounds to provide concise direction to all care givers.\n • Develops, coordinates and provides direct care for specific patient assignment. \n * Provides patient focused care. \n * Incorporates standards of practice, critical pathways, age-specific guidelines and patient care guidelines into plan of care. \n Assess potential and actual changes in level of care require \n * Develops plan of care within 24 hours of admission to the extent possible. \n * Includes patient/family in care planning.\n • Provides a safe environment for patients/families. \n * Orients patient/family to environment assuring comprehension of information presented. \n * Administers medication according to the medication administration policy. \n * Responds appropriately to urgent/emergent situations. Utilizes and documents use of restraints according to hospital patient care guidelines. \n * Uses equipment in accordance with MMC policies and procedures.\n • Provides comprehensive direct patient care to assigned patients. \n * Utilizes knowledge of nursing, research and evidenced based practice in the application of care and clinical judgment. \n Administers care consistent with standards of care for MM \n * Nursing interventions demonstrate consideration of patient's bio psychosocial and spiritual needs.\n • Communicates effectively with patient/family and members of the health care team. \n * Defends and preserves the rights of patients relative to all aspects of care, information, knowledge and privacy. \n Demonstrates respect of cultures and respect for cultural diversity with co-workers and other health care team members, patients, families and co- workers. Incorporates the principles of patient focused care in daily practice. \n * Recognizes the family as defined by the patient. Communicates interdisciplinary plan of care to 100% of assigned patients and families within 24 hours of admission and daily. \n * Identifies patient satisfaction/dissatisfaction with plan of care. If patient expresses dissatisfaction, implements conflict resolution skills, and escalates issues with plan of care. \n * Assesses and documents patient advanced care directives for 100% of assigned patients. \n * Establishes collaborative and collegial relationships with health care team members. \n * Documents legibly.\n • Demonstrates responsibility for maintaining competencies and participates in activities contributing to the growth and development of self, colleagues and the nursing profession. \n * Provides two examples of ongoing professional development. \n * Contributes to growth and development of staff and students through participation in peer review, mentor relationships, formal and informal education. \n * Recognizes that professional responsibility extends beyond one's own patient population; assists and supports team members. \n * Attends at least one hospital committee meeting or in-service annually and shares information with coworkers. \n * Demonstrates active participation in unit based performance improvement initiatives.\n • Is responsible and accountable for own practice. \n * Ensure compliance with written policies, procedures and standards of practice/care as defined in the R.N. position summary. \n * Critical thinking/problem solving skills are incorporated into nursing practice. \n * Contributes to problem identification and problem solving in the work environment, participating on task forces and groups as necessary. \n Supports the mission, vision, values and balanced scorecard performance measures for Montefiore Medical Center and standards of nursing practice. Attends an educational program at least annually and provides feedback to co-workers about educational content. \n Attends unit based in-services as schedule \n * Conforms with MMC dress code. \n * Conforms with MMC attendance and punctuality policy. \n * Maintains licensure and current registration. \n * Maintains mandatory certification, and competency including but not limited to annual review, BLS, etc.\n • Integrates the standards of excellence into daily clinical practice. \n * Respect: Honors and values each person. \n * Effective Communication: Effectively listens, conveys, and receives ideas, information, and direction. \n * Sensitivity: Demonstrates willingness and ability to listen and understand others' feelings, needs and circumstances. \n * Professionalism: Demonstrates confidence, competence and pride in work and appearance. \n Exceeding Expectations: Assists others without being aske \n * Courtesy: Treats everyone with kindness and care.\n \n Qualifications \n \n • Associate Degree in Nursing required\n, • BS in Nursing Preferred\n, • Registered Professional Nurse New York State License for Registered Nurse and current registration or valid permit to practice in New York State as an RN Upon Hire Required\n, • 2 years of RN experience in the Emergency Department experience required\n, • Ability to use basic data entry and retrieval systems (Medium proficiency)\n, • Effective English communication skills, both written and oral (Medium proficiency)\n, • OHS Fit Test Required\n, • OHS Annual Assessment Required\n, • Certification in specialty Upon Hire Preferred\n, • Basic Life Support (BLS) Training Upon Hire Required\n, • Advanced Cardiovascular Life Support (ACLS) Training Upon Hire Required\n, • Pediatric Advanced Life Support (PALS) Training Upon Hire Required\n, • Infection Control & Barrier Precaution Training Upon Hire Required\n \n \n Montefiore Medical Center is an equal employment opportunity employer. Montefiore Medical Center will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.\n \n Montefiore Medical Center Job ID #JR230188. Posted job title: Staff Nurse I/II About Montefiore Medical Center\n \n Montefiore, the University Hospital for Albert Einstein College of Medicine, is one of nation's largest academic medical centers. Those who work here are driven by a passion to serve and a desire to provide excellent care to all. We are a growing organization and one of New York’s top employers. \n Join us as we further our reputation as a leader in clinical care, healthcare research, education and social commitment. \n \n

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

AI Engineer 4 (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).

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

Early-stage impact — engineers joining now can materially influence architecture, engineering standards and product direction. Job Details The Mission We are seeking a Staff/Senior Software Engineer specializing in Agent Engineering to advance the agent runtime powering our platform's research, an

A paralegal certificate or equivalent legal qualification. Conducting comprehensive legal research to support case preparation and strategy development. Organizing and maintaining case files and legal databases.

The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and

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

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 \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: $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).

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

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)\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, • 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 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 \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 5 (AI Foundations - LLM, Optimization and Finetuning)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.\n, • Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more — to reveal the insights hidden within huge volumes of numeric and textual data.\n, • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.\n, • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.\n, • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.\n, • Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact\n\n \n The Ideal Candidate: \n\n • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers\n, • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them\n, • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea\n, • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond\n, • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms\n, • Has a deep understanding of the foundations of AI methodologies\n, • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.\n, • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes\n, • Experience in delivering libraries, platform level code or solution level code to existing products\n, • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects\n, • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects\n\n \n Basic Qualifications: \n\n • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research\n\n \n Preferred Qualifications: \n\n • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fieldsOverview:\n\n\n, • LLM\n \n, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience\n, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)\n, • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n, • Publications in deep learning theory \n, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR\n \n\n\n, • Optimization (Training & Inference)\n \n, • PhD focused on topics related to optimizing training of very large deep learning models \n, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n, • Experience optimizing training for a 10B+ model \n, • Deep knowledge of deep learning algorithmic and/or optimizer design \n, • Experience with compiler design\n \n, • Finetuning\n \n, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n, • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance\n, • Experience deploying a fine-tuned large language model\n \n\n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \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 (Gen AI Platform Services)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4\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, • 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 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 \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).

Director, AI Engineer (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n Capital One is open to hiring a Remote Employee for this opportunity. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • 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 the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline\n, • Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks\n, • Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness\n, • Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards\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 Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies\n, • At least 3 years of people leadership experience\n\n \n Preferred Qualifications: \n\n • 5+ years of experience managing and leading an engineering team\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 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 building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently\n, • Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks\n, • Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews)\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer\n \n Cambridge, MA: $269,100 - $307,200 for Director, AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Director, AI Engineer\n \n New York, NY: $293,600 - $335,100 for Director, AI Engineer\n \n Richmond, VA: $244,700 - $279,200 for Director, AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, AI Engineer\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 DescriptionABOUT THE INTERNSHIP We are seeking a motivated and enthusiastic Actuarial Intern to join our team for a summer internship program. This is an excellent opportunity to gain hands-on experience in the actuarial profession, specifically in the workers’ compensation field, while contributing to meaningful projects that make an impact. As an intern, you will be responsible for working on key projects supporting different facets of the Actuarial department. This opportunity will provide experience working independently and as part of a team. Sample duties: • Assists in the creation of actuarial models., • Review information for accuracy and reconcile data., • Provide research and assistance for special projects as assigned., • Present findings and make recommendations., • Perform work assignments in support of departmental goals., • Attend and participate in meetings at the invitation of leadership., • Compile analytical and statistical reports., • Perform additional duties as assigned. ABOUT NYCIRB The New York Compensation Insurance Rating Board (NYCIRB) is a non-profit, unincorporated association of insurance carriers. NYCIRB is licensed by the New York State Department of Financial Services as the official workers’ compensation rate service organization in the State. In this capacity, NYCIRB provides a variety of services to the workers’ compensation industry, including data collection and analysis, and the development of loss costs and rating values. These activities, along with analytical tools, research, and customer focused services, are intended to foster a stable and healthy workers’ compensation system in the State of New York. INTERNSHIP DETAILS • Hourly rate: $29 - $34/hour., • Dates: June 1 to August 5, 2027, • Location: New York, NY, • Work Environment: Hybrid (3 days per week in the office) QUALIFICATIONS • Ability to think creatively, communicate clearly and work collaboratively, • Attention to detail and accuracy, • Ability to work the full duration of the Internship Program, • Currently attending/enrolled in an undergraduate or graduate program, • At least one actuarial exam Powered by JazzHR Compensation details: 29-34 Hourly Wage PI3e0714272db4-25405-41609362

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

AI Engineer 4 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n Team Description: \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n \n What You’ll Do: \n \n \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • 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 \n The Ideal Candidate: \n \n \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n \n Basic Qualifications: \n \n \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\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, • 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 Sales Territory: $179,400 - $204,700 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Board Certified Behavior Analyst \n Job Summary: \n Are you a passionate and dedicated Board Certified Behavior Analyst looking to make a meaningful impact in the lives of children with Autism? Golden Care Therapy NJ is seeking a highly skilled and experienced BCBA to join our team of professionals dedicated to providing exceptional ABA Therapy services in Newark, New Jersey. As a BCBA with our organization, you will play a vital role in developing and implementing customized treatment plans to help our clients achieve their goals and build a brighter future. Hybrid Options Available. \n About the Role: \n We are seeking a motivated and compassionate BCBA to join our team of experts in providing Applied Behavior Analysis (ABA) Therapy to children with Autism. As a BCBA with Golden Care Therapy NJ, you will be responsible for: \n\n • \n Developing and implementing individualized treatment plans based on each client's unique needs and goals \n • \n Collaborating with our team of therapists and supervisors to ensure seamless service delivery \n • \n Providing parent training and education to involve the family in the treatment process \n • \n Assessing client progress and making data-driven decisions to adjust treatment plans as needed \n • \n Maintaining accurate and detailed records of client progress and treatment plans \n • \n Staying up-to-date with the latest research and best practices in ABA Therapy \n\n About Golden Care Therapy NJ: \n At Golden Care Therapy NJ, we are committed to providing exceptional ABA Therapy services to children with Autism throughout the state of New Jersey. Our experienced team of therapists and supervisors is dedicated to helping our clients achieve their full potential. We believe in the importance of a collaborative approach between our team, our clients, and their families, and we are passionate about empowering our clients to build a brighter future. \n How to Apply: \n If you are a motivated and dedicated Board Certified Behavior Analyst looking for a new challenge, we encourage you to apply to this exciting opportunity. Please submit your application to join our team of professionals dedicated to making a difference in the lives of children with Autism. \n To Apply:

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Senior Vice President, Corporate Tax to join our team. This role is located in Jersey City, NJ. In-office requirement is four days. In this role, you’ll make an impact in the following ways: • Works with senior management roles to ensure that the appropriate corporate tax policies, methods, standards, processes, reporting and training are developed, applied and understood by impacted stakeholders., • Represents Corporate Tax in federal and state audit proceedings, works with tax, legal counsel and external accounting firms to gather facts and develop strategies to ensure compliance with SOX procedures., • Assembles, maintains and analyzes domestic and international tax information used in the preparation of various tax returns and quarterly estimated tax payments., • Performs complex research and analysis of the tax law, regulations and cases to provide senior management with recommendations and opinions by applying tax concepts. To be successful in this role, we’re seeking the following: • Bachelor's Degree or the equivalent combination of education and experience is required., • 10-12 years of total work experience is required., • Experience in tax compliance or accounting is preferred., • Extensive knowledge of corporate tax processes and in-depth knowledge of tax support requirements within a particular business/business partner area., • People Leadership requirement: Oversees, advises and guides less experienced Corporate Tax roles and may direct their work. At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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

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

AI Engineer 5 (Gen AI Platform Services)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).