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Sigma Health Rehab is excited to offer a Part Time Occupational Therapy (OT) position to join our team of skilled therapists in a Skilled Nursing Facility. Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Responsibilities Include: Evaluate residents’ conditions & develop appropriate physical rehabilitation plans Relieve resident’s pain using exercises, hands-on therapy & stretching Help residents through their tasks and monitor their performance Supervise the activities of physical therapy assistants Maintain resident confidence & protects facility by keeping information confidential Complies with federal, state, and local legal and professional requirements Maintains a cooperative relationship among healthcare team members & contributes to team effort PT Requirements Include Graduate of an accredited Occupational Therapy Program Current New York State OT License What We Offer our Occupational Therapists: · Highly competitive compensation · Mentorship and clinical support for all therapists · Willing to hire and train new grad physical therapists! · Career growth opportunities · Weekly paychecks · Employee recognition · Flexible schedules · Evening and weekend hours available · Access to sate of the art technology Sigma Health Rehab is recruiting for a Part Time Occupational Therapist (OT) position at our client facility, Concord nursing Home located in Brooklyn, New York. Our team of compassionate physical, occupational, and speech therapists provides rehab services in a state-of-the-art rehab gym. Whether you are a seasoned professional or at the beginning of your career, utilize your talents as a Physical Therapist to improve the lives of others.

We are currently offering a $7,000 Sign-On Bonus for this position. Sigma Health Rehab is actively seeking a Full-time Occupational Therapist (OT) to work in a Skilled Nursing Facility. OT Requirements Include: Graduate of an accredited Occupational Therapy Program Current New York State OT License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant experience are encouraged to apply Key Responsibilities: Evaluate Residents & develop an OT treatment plan that will meet their individual needs. Choose activities that will help the residents to carry out their daily activities independently. Observe, assess, and document residents' occupational therapy progress by preparing detailed reports. Maintain resident confidence by monitoring confidential information processing. Maintains a cooperative relationship among healthcare team What we offer our Occupational Therapists: · Highly competitive compensation · Comprehensive and affordable benefits package including medical insurance, vision, dental and 401k Retirement Plan · Generous PTO package that increase over time- start accruing from day 1 · Professional Development: Continuing education unit (CEU)reimbursement and advanced training · Mentorship and clinical support for all therapists along with state of the art technology · Flexible schedules, weekly paychecks, an Employee Referral Program and more! · Current evidence-based practices consistent with the standards and recommendations of the American Occupational Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Amsterdam Nursing Home, located in New York, New York is seeking a compassionate and dedicated Occupational Therapist (OT) who is currently licensed in New York or is a graduate from an approved Occupational Therapy program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as an Occupational Therapist to improve the lives of others.

We are currently offering a $6,500 Sign-On Bonus for this postion. Sigma Health Rehab is actively seeking a Full-time Occupational Therapist (OT) to work in a Skilled Nursing Facility. OT Requirements Include: Graduate of an accredited Occupational Therapy Program Current New York State OT License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant experience are encouraged to apply Key Responsibilities: Evaluate Residents & develop an OT treatment plan that will meet their individual needs. Choose activities that will help the residents to carry out their daily activities independently. Observe, assess, and document residents' occupational therapy progress by preparing detailed reports. Maintain resident confidence by monitoring confidential information processing. Maintains a cooperative relationship among healthcare team What we offer our Occupational Therapists: · Highly competitive compensation · Comprehensive and affordable benefits package including medical insurance, vision, dental and 401k Retirement Plan · Generous PTO package that increases over time - start accruing from day 1 · Professional Development: Continuing education unit (CEU)reimbursement and advanced training · Mentorship and clinical support for all therapists along with state of the art technology · Flexible schedules, weekly paychecks, an Employee Referral Program and more! · Current evidence-based practices consistent with the standards and recommendations of the American Occupational Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Bushwick Center for Rehabilitation and Nursing, located in Brooklyn,New York is seeking a compassionate and dedicated Occupational Therapist (OT) who is currently licensed in New York or is a graduate from an approved Occupational Therapy program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as an Occupational Therapist to improve the lives of others.

Sigma Health Rehab is actively seeking a Full-time Occupational Therapist (OT) to work in a Skilled Nursing Facility. OT Requirements Include: Graduate of an accredited Occupational Therapy Program Current New York State OT License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant experience are encouraged to apply Key Responsibilities: Evaluate Residents & develop an OT treatment plan that will meet their individual needs. Choose activities that will help the residents to carry out their daily activities independently. Observe, assess, and document residents' occupational therapy progress by preparing detailed reports. Maintain resident confidence by monitoring confidential information processing. Maintains a cooperative relationship among healthcare team What we offer our Occupational Therapists: · Highly competitive compensation · Comprehensive and affordable benefits package including medical insurance, vision, dental and 401k Retirement Plan · Generous PTO package- start accruing from day 1 · Professional Development: Continuing education unit (CEU)reimbursement and advanced training · Mentorship and clinical support for all therapists along with state of the art technology · Flexible schedules, weekly paychecks, an Employee Referral Program and more! · Current evidence-based practices consistent with the standards and recommendations of the American Occupational Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Bushwick Center for Rehabilitation and Nursing, located in Brooklyn, New York is seeking a compassionate and dedicated Occupational Therapist (OT) who is currently licensed in New York or is a graduate from an approved Occupational Therapy program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as an Occupational Therapist to improve the lives of others.

We are currently offering a $6,000 Sign-On Bonus for this position. Sigma Health Rehab is actively seeking a Full-time Occupational Therapist (OT) to work in a Skilled Nursing Facility. OT Requirements Include: Graduate of an accredited Occupational Therapy Program Current New York State OT License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant experience are encouraged to apply Key Responsibilities: Evaluate Residents & develop an OT treatment plan that will meet their individual needs. Choose activities that will help the residents to carry out their daily activities independently. Observe, assess, and document residents' occupational therapy progress by preparing detailed reports. Maintain resident confidence by monitoring confidential information processing. Maintains a cooperative relationship among healthcare team What we offer our Occupational Therapists: · Highly competitive compensation · Comprehensive and affordable benefits package including medical insurance, vision, dental and 401k Retirement Plan · Generous PTO package that increases over time- start accruing from day 1 · Professional Development: Continuing education unit (CEU)reimbursement and advanced training · Mentorship and clinical support for all therapists along with state of the art technology · Flexible schedules, weekly paychecks, an Employee Referral Program and more! · Current evidence-based practices consistent with the standards and recommendations of the American Occupational Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Brooklyn Center for Rehabilitation and Nursing, located in Brooklyn, New York is seeking a compassionate and dedicated Occupational Therapist (OT) who is currently licensed in New York or is a graduate from an approved Occupational Therapy program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as an Occupational Therapist to improve the lives of others.

We are currently offering a $3,000 Sign-On Bonus for this position. Sigma Health Rehab is excited to offer a Full-time Physical Therapy Assistant (PTA) position to join our team of skilled therapists in a Skilled Nursing Facility. PTA Requirements Include: Graduate of an accredited Physical Therapy Assistant Program Current New York State Physical Therapy Assistant (PTA) License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant fieldwork experience are encouraged to apply Key Responsibilities: Follow the plan of care set out by the supervising physical therapist Measure & record resident’s motor function, strength, and muscle performance. Observe and document on resident performance. Treat residents with varieties of techniques, like stretching and massage, assist residents in carrying out specific exercises. Maintains Resident confidence by keeping information confidential. Complies with federal, state, and local legal and professional requirements. Maintains a cooperative relationship among healthcare team What we offer our Physical Therapy Assistants: Highly competitive compensation Comprehensive and affordable benefits package including medical insurance, vision dental and 401k Retirement Plan Generous PTO package that increases over time- start accruing from day 1 Professional Development: Continuing education unit (CEU)reimbursement and advanced training Mentorship and clinical support for all therapist along with state of the art technology Flexible schedules, weekly paychecks, an Employee Referral Program and more! Current evidence-based practices consistent with the standards and recommendations of the American Physical Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Concord Center for Rehabilitation and Nursing, located in Brooklyn, New York is seeking a compassionate and dedicated Physical Therapy Assistant (PTA) who is currently licensed in New York or is a graduate from an approved Physical Therapy Assistant (PTA) program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as a Physical Therapy Assistant to improve the lives of others.

We are currently offering a $7,000 Sign-On Bonus for this position. Sigma Health Rehab is excited to offer a Full-time Physical Therapy Assistant (PTA) position to join our team of skilled therapists in a Skilled Nursing Facility. PTA Requirements Include: Graduate of an accredited Physical Therapy Assistant Program Current New York State Physical Therapy Assistant (PTA) License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant fieldwork experience are encouraged to apply Key Responsibilities: Follow the plan of care set out by the supervising physical therapist Measure & record resident’s motor function, strength, and muscle performance. Observe and document on resident performance. Treat residents with varieties of techniques, like stretching and massage, assist residents in carrying out specific exercises. Maintains Resident confidence by keeping information confidential. Complies with federal, state, and local legal and professional requirements. Maintains a cooperative relationship among healthcare team What we offer our Physical Therapy Assistants: Highly competitive compensation Comprehensive and affordable benefits package including medical insurance, vision dental and 401k Retirement Plan Generous PTO package that increase over time- start accruing from day 1 Professional Development: Continuing education unit (CEU)reimbursement and advanced training Mentorship and clinical support for all therapist along with state of the art technology Flexible schedules, weekly paychecks, an Employee Referral Program and more! Current evidence-based practices consistent with the standards and recommendations of the American Physical Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Amsterdam Nursing Home, located in New York, New York is seeking a compassionate and dedicated Physical Therapy Assistant (PTA) who is currently licensed in New York or is a graduate from an approved Physical Therapy Assistant (PTA) program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as a Physical Therapy Assistant to improve the lives of others.

We are currently Offering a $5,000 Sign-On Bonus for this position. Sigma Health Rehab is excited to offer a Full-time Physical Therapy Assistant (PTA) position to join our team of skilled therapists in a Skilled Nursing Facility. PTA Requirements Include: Graduate of an accredited Physical Therapy Assistant Program Current New York State Physical Therapy Assistant (PTA) License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant fieldwork experience are encouraged to apply Key Responsibilities: Follow the plan of care set out by the supervising physical therapist Measure & record resident’s motor function, strength, and muscle performance. Observe and document on resident performance. Treat residents with varieties of techniques, like stretching and massage, assist residents in carrying out specific exercises. Maintains Resident confidence by keeping information confidential. Complies with federal, state, and local legal and professional requirements. Maintains a cooperative relationship among healthcare team What we offer our Physical Therapy Assistants: Highly competitive compensation Comprehensive and affordable benefits package including medical insurance, vision dental and 401k Retirement Plan Generous PTO package that increases over time- start accruing from day 1 Professional Development: Continuing education unit (CEU)reimbursement and advanced training Mentorship and clinical support for all therapist along with state of the art technology Flexible schedules, weekly paychecks, an Employee Referral Program and more! Current evidence-based practices consistent with the standards and recommendations of the American Physical Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Boro Park Center for Rehabilitation and Nursing, located in Brooklyn, New York is seeking a compassionate and dedicated Physical Therapy Assistant (PTA) who is currently licensed in New York or is a graduate from an approved Physical Therapy Assistant (PTA) program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as a Physical Therapy Assistant to improve the lives of others.

We are currently offering a $6,000 Sign-On Bonus for this position. Sigma Health Rehab is excited to offer a Full-time Physical Therapy Assistant (PTA) position to join our team of skilled therapists in a Skilled Nursing Facility. PTA Requirements Include: Graduate of an accredited Physical Therapy Assistant Program Current New York State Physical Therapy Assistant (PTA) License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant fieldwork experience are encouraged to apply Key Responsibilities: Follow the plan of care set out by the supervising physical therapist Measure & record resident’s motor function, strength, and muscle performance. Observe and document on resident performance. Treat residents with varieties of techniques, like stretching and massage, assist residents in carrying out specific exercises. Maintains Resident confidence by keeping information confidential. Complies with federal, state, and local legal and professional requirements. Maintains a cooperative relationship among healthcare team What we offer our Physical Therapy Assistants: Highly competitive compensation Comprehensive and affordable benefits package including medical insurance, vision dental and 401k Retirement Plan Generous PTO package that increases over time - start accruing from day 1 Professional Development: Continuing education unit (CEU)reimbursement and advanced training Mentorship and clinical support for all therapist along with state of the art technology Flexible schedules, weekly paychecks, an Employee Referral Program and more! Current evidence-based practices consistent with the standards and recommendations of the American Physical Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Brooklyn Center for Rehabilitation and Nursing, located in Brooklyn, New York is seeking a compassionate and dedicated Physical Therapy Assistant (PTA) who is currently licensed in New York or is a graduate from an approved Physical Therapy Assistant (PTA) program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as a Physical Therapy Assistant to improve the lives of others.

We are currently offering a $5,000 Sign-On Bonus for this position. Sigma Health Rehab is excited to offer a Full-time Physical Therapy Assistant (PTA) position to join our team of skilled therapists in a Skilled Nursing Facility. PTA Requirements Include: Graduate of an accredited Physical Therapy Assistant Program Current New York State Physical Therapy Assistant (PTA) License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant fieldwork experience are encouraged to apply Key Responsibilities: Follow the plan of care set out by the supervising physical therapist Measure & record resident’s motor function, strength, and muscle performance. Observe and document on resident performance. Treat residents with varieties of techniques, like stretching and massage, assist residents in carrying out specific exercises. Maintains Resident confidence by keeping information confidential. Complies with federal, state, and local legal and professional requirements. Maintains a cooperative relationship among healthcare team What we offer our Physical Therapy Assistants: Highly competitive compensation Comprehensive and affordable benefits package including medical insurance, vision dental and 401k Retirement Plan Generous PTO package that increases over time- start accruing from day 1 Professional Development: Continuing education unit (CEU)reimbursement and advanced training Mentorship and clinical support for all therapist along with state of the art technology Flexible schedules, weekly paychecks, an Employee Referral Program and more! Current evidence-based practices consistent with the standards and recommendations of the American Physical Therapy Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Bushwick Center for Rehabilitation and Nursing, located in Brooklyn, New York is seeking a compassionate and dedicated Physical Therapy Assistant (PTA) who is currently licensed in New York or is a graduate from an approved Physical Therapy Assistant (PTA) program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as a Physical Therapy Assistant to improve the lives of others.

Job Title: RN Location: Jersey City Medical Center Department Name: Medical-Surgical Unit-II Req #: 0000252897 Status: Hourly Shift: Night Pay Range: $47.85 - $67.04 per hour Pay Transparency: The above reflects the anticipated hourly wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: Since 1882, Jersey City Medical Center has provided Hudson County advanced, state-of-the-art medical treatment across a broad spectrum of different disciplines. From screenings and diagnostics to life-saving, intensive care, our patients can count on a patient-centric approach that puts their comfort and well-being at the forefront of everything we do. Our medical center serves as a regional referral, teaching hospital and is also outfitted with the latest technologies to assist our professionals in providing the highest standard of care for patients of all ages. Required Certifications and Licenses: • Active NJ RN License or Multistate RN License with NJ Endorsement, • BLS certification through American Heart Association, • Graduate from an accredited NLN School of Nursing, • BSN Preferred Scheduling Requirements: • Night Shift – 7:00pm – 7:00am, • Every other weekend required. Schedule during the week will vary depending on department needs, • Part Time Essential Functions: The role of the Professional Registered Nurse is to provide quality nursing care in collaboration with the medical staff and within the guidelines of the New Jersey State Nurse Practice Act. It is the responsibility of the Professional Nurse to implement the Hospital's Mission and goals through established policies, procedures and performance improvement activities. Implementation of these goals occurs through organization and administration of individualized age specific professional nursing care to patients within an assigned unit of the hospital. The understanding of the principles of growth and development will be incorporated to assess each patient's age specific needs and determine age specific treatment modalities. Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees’ physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon, • ….and more! Choosing RWJBarnabas Health! RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

Job Title: RN Location: Jersey City Medical Center Department Name: Medical-Surgical Unit-II Req #: 0000259120 Status: Hourly Shift: Night Pay Range: $47.85 - $67.04 per hour Pay Transparency: The above reflects the anticipated hourly wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: Since 1882, Jersey City Medical Center has provided Hudson County advanced, state-of-the-art medical treatment across a broad spectrum of different disciplines. From screenings and diagnostics to life-saving, intensive care, our patients can count on a patient-centric approach that puts their comfort and well-being at the forefront of everything we do. Our medical center serves as a regional referral, teaching hospital and is also outfitted with the latest technologies to assist our professionals in providing the highest standard of care for patients of all ages. Medical Surgical / Telemetry Registered Nurse (RN) – RWJBarnabas Health At RWJBarnabas Health, Registered Nurses become part of a purpose driven environment where teamwork, belonging, and clinical excellence shape meaningful patient experiences. This RN role offers growth, supportive teamwork, and a culture committed to safety and continuous improvement. As a Registered Nurse, you will help advance patient care and strengthen the experience of individuals and families across our organization. Joining RWJBarnabas Health means joining a community where every RN is encouraged to grow, innovate, and lead with purpose. As a Registered Nurse (RN), a typical day may include: • Conducting comprehensive patient assessments and recognize subtle clinical changes, using your judgment to intervene early and advocate for your patients, • Providing safe, evidence-based medications, treatments, and hands on care grounded in strong clinical judgment, • Serving as a clinical partner to physicians and advanced providers, offering insight that supports timely, well-coordinated care decisions, • Providing clear, compassionate education to patients and families so they feel informed, supported, and prepared for the next phase of care, • Ensuring accurate and timely documentation within the electronic medical record to promote continuity and patient safety, • Contributing your voice during interdisciplinary rounds, helping drive seamless communication and smooth transitions of care, • Taking an active role in a highly collaborative team environment where shared accountability and teamwork directly impact outcomes, • Pursuing continued professional growth through access to continuing education, clinical ladder opportunities, and organizational resources that support long term career progression This role might be for you if: • Clear, compassionate communication defines how you interact with patients, families, and colleagues, • Strong clinical judgment guides your decisions, even as priorities shift, • Thriving in a fast paced environment energizes you, especially where teamwork drives outcomes, • A commitment to evidence-based practice shapes your daily work, • Empathy and professionalism are central to your approach, • Continuous learning and professional growth matter to you, • A collaborative team culture is something you actively help strengthen To be considered for this RN opportunity, you must hold an active New Jersey Registered Nurse license in good standing or Multistate RN License with NJ Endorsement and a current American Heart Association BLS certification. A Bachelor’s degree in Nursing is strongly preferred, as is prior patient care experience and comfort with electronic medical record systems (EMR) like EPIC. This position offers a part time night schedule from 7:00 p.m. to 7:00 a.m. and every other weekend required. Schedule during the week will vary depending on department needs, allowing you to build strong patient relationships while maintaining balance. Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees’ physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon, • ….and more! Choosing RWJBarnabas Health! RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

We are currently offering a $6,000 Sign-On Bonus for this position. Sigma Health Rehab is actively seeking a Full-time Speech Language Pathologist (SLP) to work in a Skilled Nursing Facility. SLP Requirements Include: A graduate of an accredited SLP Program Current New York State SLP License Experience in a skilled nursing or geriatric care setting is preferred, but new graduates with relevant experience are encouraged to apply Key Responsibilities: Administer Speech Therapy evaluations & examinations to diagnose residents & develop treatment plans. Monitor residents' progress and adjust treatments accordingly. Record information on the initial evaluation, treatment, progress, and discharge of clients. Observe and assess the progress & prepare detailed reports. Maintain resident confidence by monitoring confidential information processing. Ensure compliance with relevant laws, regulations, or standards. Maintains a cooperative relationship among healthcare team members What we offer to our speech therapists: · Highly competitive compensation · Comprehensive and affordable benefits package including medical insurance, vision, dental and 401k Retirement Plan · Generous PTO package that increases over time- start accruing from day 1 · Professional Development: Continuing education unit (CEU) reimbursement and advanced training · Mentorship and clinical support for all therapists along with state of the art technology · Flexible schedules, weekly paychecks, an Employee Referral Program · Current evidence-based practices consistent with the standards and recommendations of the American Speech-Language- Hearing Association Who we are: Sigma Health Rehab is premier provider of innovative rehabilitation services. At Sigma Health Rehab, we believe in the power of rehabilitation to transform lives. Our dedicated team of professionals are passionate about helping individuals overcome challenges, reach their goals, and regain their independence. Brooklyn Center for Rehabilitation and Nursing, located in Brooklyn, New York is seeking a compassionate and dedicated Speech Language pathologist (SLP) who is currently licensed in New York or is a graduate from an approved Speech Language Pathology (SLP) program and is actively working toward obtaining licensure. Be a part of our experienced team of rehabilitation professionals who are committed to helping each patient regain independence and achieve their rehab goals in our state-of- the art rehab gym. Whether you are a seasoned professional or at the beginning of your career, join our team and utilize your talents as a Speech Language Pathologist to improve the lives of others.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. At Success Academy, we don’t just hire teachers, we build them. You don’t need a background in education to launch your career with us. Whether you’re an athlete, engineer, artist, chess champion, or math whiz, we’ll equip you with the tools, training, and world-class coaching to thrive in the classroom and beyond. Why Success Academy? More than the highest-performing K-12 charter school network in NYC, Success Academy is a launchpad for careers of significance. Our teachers don’t just show up, they redefine what’s possible for their students and themselves. What We Look For Teaching certification and Master's degrees are not required for this role. • Resilience, drive, and a winning mindset: You’ll be challenged. You’ll be coached. You’ll grow. Every day is a chance to push through limits and raise the bar., • A commitment to excellence: You execute a proven playbook. You plan ahead, stay organized, and sweat the details because excellence lives in the little things. You believe structure and consistency create space for kids to thrive, and you don’t cut corners., • Total belief in every student: You’ll never settle for average – not in yourself, not in your students. Here, we 100% commit to getting 100% of our kids into 4-year colleges., • Passion for content and curiosity to grow: You love learning, and it shows. Whether it's literature, math, science, or art, you bring genuine enthusiasm to your subject and a hunger to keep getting better. Feedback isn't just accepted – it’s fuel. Here’s What You’ll Get • A mission with meaning: You’ll play a critical role in shaping the futures of young people and helping them reach their full potential., • Skills that set you apart: Build essential skills like public speaking, strategy, data analysis, leadership, and conflict resolution., • World-class coaching and development: No education background? No problem. We’ll train you—hard—and elevate you even harder. Key Responsibilities: Lesson Planning and Instruction • Study and implement lesson plans that align with curriculum standards., • Utilize a variety of instructional strategies and technologies to enhance learning., • Manage a classroom of 20+ scholars. Assessment and Evaluation • Assess student progress through assignments, tests, and observations., • Provide timely feedback and support to help students improve., • Maintain accurate records of student performance and progress. Classroom Management • Establish and enforce classroom rules and procedures to maintain a productive learning environment. Communication and Collaboration • Communicate regularly with students, parents, and guardians regarding academic progress and behavioral issues., • Collaborate with other teachers, staff, and administration to support student success. Minimum Qualifications • A bachelor’s degree before your first day of work with Success Academy (a background in education is not required)., • Strong communication and interpersonal skills., • Passion for learning and commitment to student development., • Ability to work in person in New York City. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

InCore Physical Therapy is actively seeking a dedicated and skilled Full-Time Orthopedic Physical Therapist to become a vital member of our healthcare team based in Bogota, New Jersey. This role focuses on delivering personalized patient care through meticulous assessments, tailored rehabilitation programs, and continuous progress evaluation to ensure optimal recovery outcomes. InCore Physical Therapy is committed to providing high-quality rehabilitation services in a warm and welcoming environment. Our facility prides itself on a patient-centered approach, utilizing the latest evidence-based practice and therapeutic innovations. We believe in involving patients in their recovery journey and foster a supportive atmosphere that promotes healing and wellness. Located onsite within our state-of-the-art rehabilitation facility in Bogota, New Jersey, the role involves collaborating with a multidisciplinary team of healthcare professionals. You will interact daily with physicians, occupational therapists, and administrative staff in a fast-paced yet nurturing work environment. Our facility is equipped with cutting-edge technology and equipment designed to enhance treatment effectiveness. • Conduct comprehensive physical assessments to identify movement disorders, balance issues, strength deficits, and mobility limitations in patients., • Utilize advanced clinical reasoning and evidence-based methodologies to determine the root causes of pain and dysfunction., • Develop and implement individualized rehabilitation plans that align with each patient’s goals, preferences, and medical history., • Establish a case management approach by tracking patient progress consistently and modifying treatment plans based on real-time feedback and outcomes., • Maintain precise documentation of patient evaluations, treatment sessions, and progress notes to ensure compliance with legal and organizational standards., • Educate patients about injury prevention techniques, rehabilitation exercises, and long-term wellness strategies, empowering them in their recovery., • Participate in team meetings to discuss patient care, share insights, and stay informed on the latest trends in physical therapy practice. As a physical therapist at InCore, you will primarily work with orthopedic patients, including those recovering from surgical procedures, sports injuries, and chronic pain conditions. This diverse population provides a fulfilling challenge, allowing you to apply and expand your knowledge and expertise in rehabilitation. • Must hold a current license to practice as a Physical Therapist (PT) in the state of New Jersey., • A Bachelor’s Degree in Physical Therapy is required; a Doctor of Physical Therapy (DPT) degree is preferred., • Strong foundational knowledge of physical therapy principles and practices, especially in outpatient settings., • Excellent communication skills to effectively engage with patients, families, and colleagues, fostering a supportive care environment., • A compassionate, patient-centered approach is essential, demonstrating a genuine commitment to patient healing and recovery., • Ability to work both independently and collaboratively as part of a dedicated healthcare team., • A minimum of 2 years of clinical experience in a physical therapy setting, particularly with orthopedic cases., • Demonstrated proficiency in developing and executing tailored rehabilitation plans based on comprehensive assessment findings., • Experience with electronic health records (EHR) is advantageous to ensure accurate documentation and follow-up. The compensation for this role ranges from $100,000 to $120,000 annually, contingent upon experience. InCore Physical Therapy offers a comprehensive benefits package, including: • Health, dental, and vision insurance options., • 401(k) retirement plan with company match., • Opportunities for professional development and access to continuing education assistance., • A supportive and collaborative work culture, focused on employee wellness and job satisfaction., • Paid time off and holiday pay to ensure work-life balance. At InCore Physical Therapy, we are dedicated to supporting the continual growth and development of our team members. We provide ongoing training and professional advancement opportunities, allowing for specialization in various areas of physical therapy and rehabilitation. Your future in our organization can lead to leadership roles, mentorship capabilities, or advanced clinical practices. If you are a motivated physical therapist passionate about delivering exceptional care and fostering patient success, InCore Physical Therapy offers an ideal environment for you. Our culture emphasizes teamwork, growth, and patient satisfaction, making a profound difference in people's lives. By joining our team, you'll contribute your expertise to make rehabilitation not just a service, but a transformative experience for our clients. We would love to hear from you if you are ready to take on a rewarding challenge in the field of orthopedic physical therapy. Please submit your resume and a cover letter outlining your qualifications and passion for patient care. Join InCore Physical Therapy and be part of a team that strives to improve lives every day!

Empower-Self Physical Therapy in Jersey City, New Jersey, is seeking a dedicated and skilled Physical Therapist to join our growing team in a full-time capacity. As an integral member of our rehabilitation center, you will play a crucial role in guiding patients toward restoring their physical abilities and enhancing their overall quality of life. Your expertise will be vital in diagnosing, treating, and rehabilitating individuals facing orthopedic challenges. This is more than just a job; it’s an opportunity to make a meaningful impact on our patients' recovery journeys. Empower-Self Physical Therapy is a trusted, PT-owned outpatient practice that specializes in delivering high-quality orthopedic therapy. Our facility spans 5,000 square feet and is equipped with state-of-the-art technology designed to support sports medicine and rehabilitation. With a focus on providing personalized treatment, we primarily serve individuals with private medical insurance, enabling us to create tailored care plans that prioritize long-lasting results. Our team prides itself on its collaborative and supportive environment, fostering professional growth and improving patient outcomes. You will be working onsite at our fully equipped rehabilitation center located centrally in Jersey City. The facility features advanced therapy equipment and an open-concept design conducive to teamwork and patient interaction. Together with two other physical therapists and a physical therapy assistant (PTA), you will collaborate closely, exchanging insights and strategies to ensure patients receive comprehensive and coordinated care. The role offers a standard Monday to Friday work schedule from 9 AM to 5 PM, providing a balanced work-life environment. Your day-to-day tasks will encompass a variety of responsibilities focused on patient care and improvement: • Conduct thorough assessments to identify and prioritize each patient’s goals and needs in collaboration with other healthcare providers., • Manage a scheduled patient caseload of 1 individual per hour, ensuring personalized attention and care., • Utilize your experience in orthopedic outpatient settings to provide evidence-based treatments that enhance range of motion and mobility., • Develop and implement comprehensive care plans, integrating a mix of therapeutic techniques and modalities tailored to each patient., • Educate patients on alternative treatment options to reduce dependence on medications and minimize the necessity for surgical interventions., • Inspire and motivate patients throughout their recovery process, emphasizing a commitment to improving their physical capabilities and overall wellness., • Design specialized fitness and wellness programs to support individual patient journeys toward health and mobility., • Efficiently document patient interactions, progress notes, and treatment protocols while ensuring compliance with regulations and organizational standards., • Evaluate treatment outcomes consistently, making necessary adjustments to care plans and communicating outcomes with patients and their families., • Maintain strong relationships with referring physicians and other healthcare professionals to facilitate integrated patient care. Our practice primarily caters to individuals seeking orthopedic rehabilitation, including those recovering from surgeries, sports injuries, and chronic pain conditions. You will have the opportunity to work with a diverse range of patients, allowing you to apply your skills across different demographics and conditions. By focusing on personalized treatment plans, you can significantly improve patients' recovery trajectories and overall satisfaction. To qualify for the Physical Therapist position, candidates must meet the following requirements: • A Doctorate in Physical Therapy (DPT) from an accredited institution., • Valid New Jersey license for physical therapy with no history of disciplinary actions., • Proficient in manual therapy techniques and a deep understanding of orthopedic rehabilitation protocols., • Exceptional skill in developing and executing personalized exercise programs with a focus on evidence-based practices., • Experience with electronic medical records (EMR) systems, specifically WebPT, to ensure accurate documentation and patient management. While a background in manual therapy is essential, experience coordinating with multidisciplinary teams to enhance patient care is highly preferred. Candidates with innovative ideas for patient engagement and wellness programs will find ample opportunity to contribute creatively. We offer a competitive salary range of USD 100,000 to 120,000 annually, complemented by a comprehensive benefits package. This includes health insurance, retirement plans, paid time off, and continued education opportunities, reflecting our commitment to your professional development and well-being. At Empower-Self Physical Therapy, we believe in nurturing our team members’ professional aspirations. With a robust framework for mentorship and continuing education, you can enhance your skills, stay updated with the latest practices in physical therapy, and potentially advance into specialized roles or leadership positions within our organization. Joining Empower-Self Physical Therapy means becoming part of a passionate and dedicated team committed to improving the lives of our patients. We foster a culture of collaboration, support, and innovation, where your ideas and contributions are valued. If you are looking for an engaging workplace that prioritizes professional growth while making a difference in the community, Empower-Self is the ideal place for you. If you are ready to take the next step in your career and become a vital part of our team, we encourage you to submit your resume today. Given the recent surge in patient demand, we have immediate openings, and interviews are already underway. Join us in our mission to empower individuals on their path to recovery!

As a dedicated Physical Therapist at Spring Bay Physiotherapy, you will be an essential part of our team, focusing on improving the physical health and well-being of our patients. The role demands a proactive approach in assessing individual patient needs, developing effective, tailored treatment plans, and implementing them with precision to enhance patient recovery and functional independence. Spring Bay Physiotherapy is a leading establishment in Jersey City, New Jersey, recognized for delivering comprehensive rehabilitation services. Our mission is to empower individuals to reclaim their health and improve their quality of life. We utilize state-of-the-art facilities equipped with the latest technologies and emphasize a patient-centered approach that encourages collaboration among our team of skilled healthcare professionals, including physicians and rehabilitation therapists. This full-time position is based onsite at our rehabilitation facility in Jersey City, NJ. Our work environment fosters a culture of collaboration, where interdisciplinary teams work hand-in-hand to achieve optimal patient outcomes. We prioritize staff well-being and professional development, which creates a supportive atmosphere ideal for career growth. • Conduct thorough initial and ongoing evaluations to determine patients’ functional abilities, establishing a baseline for personalized treatment plans., • Implement and monitor evidence-based treatment interventions — such as therapeutic exercises, manual therapy techniques, and modalities like ultrasound or electrical stimulation — with the aim to improve patient mobility, manage pain, and enhance overall function., • Collaborate with a multidisciplinary team, including orthopedic specialists and occupational therapists, in designing comprehensive care plans that address all aspects of the patients’ recovery., • Educate patients and their families on therapeutic exercises and offer guidance on safety measures and preventative strategies to enhance their recovery journey., • Maintain meticulous documentation of patient encounters, progress notes, and treatment outcomes in compliance with healthcare regulations and organizational standards. In this role, you will work with a diverse array of patients, including children, adults, and seniors who are recovering from surgeries, sports injuries, stroke rehabilitation, and chronic conditions such as arthritis and orthopedic issues. This varied patient demographic will challenge your clinical skills and enhance your ability to provide tailored, effective therapy that meets the unique needs of each individual. • A Bachelor's Degree in Physical Therapy from an accredited institution., • A current and valid state license to practice as a Physical Therapist in New Jersey., • Demonstrated clinical reasoning skills with the ability to develop practical treatment strategies based on evidence-based practice., • Exceptional interpersonal and communication skills to effectively interact with patients, their families, and the healthcare team., • Proficient in electronic medical record systems to ensure accurate documentation and efficient planning., • Experience in a rehabilitation or outpatient setting preferred, but not required., • Previous engagement with a diverse patient population, enhancing your adaptability in treatment approaches., • Participation in professional development activities such as workshops or continuing education related to physical therapy advancements. Spring Bay Physiotherapy offers a competitive salary range of USD 80,000 – 100,000 per year based on experience and qualifications. In addition to a rewarding salary, our benefits package includes comprehensive health insurance, retirement plans, and opportunities for continued education to support your professional journey. We recognize that the continuous growth of our staff contributes to the overall success of our organization. Therefore, we provide numerous avenues for professional advancement, including mentorship programs, specialty training in various therapeutic fields, and pathways to leadership roles within our facility. You will have the opportunity to attend workshops and conferences to enhance your skills and knowledge in physical therapy. At Spring Bay Physiotherapy, you will be part of a passionate team that strives to make a meaningful impact on the community’s health and well-being. You will work in an environment that values respect, support, and continuous learning, ensuring that you are well-equipped to deliver the highest quality of patient care. With a strong focus on work-life balance and flexible scheduling options, we promote a healthy personal and professional lifestyle. If you are a Physical Therapist committed to improving the lives of others and are eager to join a supportive and dynamic team, we would love to hear from you! Please submit your resume and a cover letter detailing your experience and passion for rehabilitation care. Join us at Spring Bay Physiotherapy to enhance your career while making a positive difference in the lives of our patients.

As part of our collaborative team, you will have the chance to work alongside two other physical therapists and a certified physical therapy assistant (PTA) within a state-of-the-art facility designed for optimal therapeutic outcomes. The salary range for the Full-Time Outpatient Orthopedic Physical

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

Director, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for 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 people leader, 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 • Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams\n, • Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems\n, • Lead large-scale ML initiatives with the customer in mind\n, • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale\n, • Optimize data pipelines to feed ML models\n, • Use programming languages like Python, Scala, or Java\n, • Evangelize best practices in all aspects of the engineering and modeling lifecycles\n, • Recruit, nurture, and retain top engineering talent\n, • Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers\n, • Recruit, nurture, and retain top engineering talent\n, • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community\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 3 years of people leadership experience\n, • At least 8 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience managing and leading an engineering team\n, • 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • Ability to communicate complex technical concepts clearly to a variety of audiences\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n, • Experience hiring and developing high-performing ML engineers with an inspiring leadership style \n, • Highly developed interpersonal, presentation, and communications skills\n, • Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer\n \n New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Finance Tech\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Finance Tech is responsible for transforming Capital One's financial engine into the most trusted, nimble, and insightful in the industry. Our core mission is to engineer outcomes that strategically enable the Finance organization and the broader Enterprise to remain efficient. This mission is driven by four technical and functional pillars: Forecasting & Resiliency, providing advanced decision support; Treasury & Trade managing sophisticated cash and investment lifecycles; and Accounting & Reporting, ensuring the integrity of our general ledger and regulatory commitments. Powering these pillars are our Data and Core capabilities, which manage the orchestration, sourcing, and pipelines for critical financial data products. \n \n By defining the next generation of financial technology, we ensure that every business process is backed by high fidelity tracking and reporting. Together, we are not just supporting the bottom line - we are building a strategic enabler that operates as a world class financial engine. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 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 • 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, • Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics\n, • Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments\n, • Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies\n, • Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets\n, • Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. \n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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, • At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy\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, • Experience 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, • Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)\n, • Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows\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 R1005255 AI Engineer 3 (AI Foundations) \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: $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 \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Job DescriptionMelton Truck Lines is Now Hiring Recent CDL-A Graduates and Entry Level Drivers! Comprehensive Flatbed Training No-Touch Freight - Flexible Home Time Driver’s receive $100 Tarp Pay at Melton – which translates to an additional $10,000 or more in annual compensation! Competitive Pay that Keeps You Ahead: • Entry-level drivers start at 60 CPM!, • 1-3 years of experience - 63 CPM, • 3+ years of experience - 64 CPM, • Earn up to 74 CPM with Melton Miles, details below, • Up to $10,000 in tuition reimbursement, • Comprehensive health, dental, and vision coverage, • 401(k) retirement program, • Veterans: Qualifying veterans could receive up to an additional $26,000 of tax-free BAH within their first year. If you remain in the program for the full 24-months, you could receive over $40,000 of tax-free BAH!, • No-touch freight, • Flexible OTR home time - bank unlimited days!, • Drivers are out a minimum of 2 - 3 weeks at a time depending on home domicile Veterans with military driving experience could qualify for an additional 6 CPM in starting pay! New Modern Equipment: Great drivers deserve great equipment! Melton Truck Lines operates a large and growing fleet of impeccably maintained, late-model equipment. We have one of the most modern and impressive fleets on the road today with the average age of our tractors being under two years. Honoring Military Veterans: With over 30% of Melton employees having served in the military, we are always looking to hire veterans and active-duty reservists. Melton veteran driving jobs offer a state-of-the-art pre-hire evaluation program, apprenticeships, and a great career for any veteran that enjoys a culture focusing on teamwork, discipline, and dedication. Our extensive programs and veteran resources make Melton one of the best truck-driving companies for veterans. Earnings with Melton Miles: • After 100,000 Melton Miles 65 CPM, • After 200,000 Melton Miles 66 CPM, • After 360,000 Melton Miles 67 CPM, • After 600,000 Melton Miles 68 CPM, • After 900,000 Melton Miles 69 CPM, • After 1,200,000 Melton Miles 70 CPM, • After 1,700,000 Melton Miles 71 CPM, • After 2,200,000 Melton Miles 72 CPM, • After 2,700,000 Melton Miles 73 CPM, • After 3,200,000 Melton Miles 74 CPM Benefits Designed with Drivers in Mind: • Paid weekly, • $750 - $1,000 driver referral bonus, • Per diem pay, • Competitive layover/ detention pay, • Free on-site health clinics and dental exams, • On-site gym, workout facilities, and personal trainer, • Telemedicine - professional medical assistance from anywhere, • Dedicated driver services team, • US DOL & VA Apprenticeship Program, • 24/7 safety helpline, • Pet Program – 90 lbs or less dog or cat, • Rider Program – 18+ years old year-round, 10+ years old during summer months, • Numerous career path options for drivers to earn extra cash Requirements: • Must have a valid Class A CDL, • Must be at least 21 years of age, • No DUIs in the past 5 years, • Must meet all applicable DOT regulations, including a DOT physical and drug testing Join the Melton Team - Apply Now! \nCompany Description Based out of Tulsa, OK, Melton Truck Lines is known for treating its drivers like family. Melton has been running more than 60 years with a reputation of excellence and stability in the trucking industry. Melton aims to remain ahead of the competition with top pay and benefits, free on-site clinics and dentists, 24/7 driver help desk, safety and referral bonuses, rider and pet programs, and much more. Apply today and become a part of the Melton family!

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

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

Orthopedic Physical Therapist to become a vital part of our dedicated team in Bloomfield, New Jersey.This full-time position offers an opportunity for an experienced professional to work onsite at our state-of-the-art rehabilitation facility.You will be instrumental in developing and implementing ta

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

Job Description Join RFTS to be a part of a dedicated team that is working to advance the education and development of Elementary and High School students with IESPs. RFTS’s mission is to provide state-of-the-art methods and educational systems to give every child in our care the support they need by equipping the providers with guidance and training opportunities. Due to vast growth, we are looking for ABA Provider who are compassionate and enthusiastic independent professionals. Our services are provided in school and after-school programs. As a valued provider, your responsibilities will include: • Designing and implementing personalized behavior intervention plans, • Collaborating with families and a multi-disciplinary team to establish goals and outcomes for each child in your care, • Maintaining accurate documentation in accordance with state and city regulations, • Conducting essential evaluations and producing comprehensive reports that meet district standards, • Taking part in all meetings associated with your students Benefits: • Access to numerous training opportunities, support, and guidance, • Allotment for educational supplies and materials, • Flexibility to create your own schedule, • Competitive compensation package with enhanced rates, • Sick-time accrual, • End-of-Year bonus with completion of assignments Join RFTS and make a positive impact on the lives of our students.

Job Description ABA Therapist Job Summary: Golden Care Therapy NY, a leading provider of Applied Behavior Analysis (ABA) Therapy in Rochester, NY, is seeking a dedicated and compassionate ABA Therapist to join our team. As a valued member of our organization, you will play a vital role in helping children with Autism achieve their full potential. Our mission, "Reaching Hearts. Building Futures." guides us in providing a supportive and comprehensive ABA Therapy experience for our clients and their families. Responsibilities: Conduct ABA Therapy sessions with children with Autism, implementing customized treatment plans to meet their unique needs and goals Collaborate with clients' families to provide Parent Training, ensuring whole-family involvement in the therapy process Develop and maintain positive relationships with clients, families, and internal teams to ensure seamless care Communicate effectively with clients, families, and supervisors to share progress, concerns, and recommendations Maintain accurate records and documentation of therapy sessions, progress, and outcomes About the Role: As an ABA Therapist with Golden Care Therapy NY, you will have the opportunity to make a meaningful impact on the lives of children with Autism. Our organization is committed to providing a supportive and inclusive work environment, where you can grow professionally and personally. With our state-of-the-art facilities and cutting-edge therapies, you will be equipped to deliver exceptional care and support to our clients. What We Offer: A dynamic and supportive work environment Opportunities for professional growth and development Collaborative team environment A chance to make a meaningful difference in the lives of children with Autism How to Apply: If you are a dedicated and compassionate professional with a passion for helping children with Autism, we invite you to apply for this rewarding opportunity. Please submit your application to join our team and help us continue to reach hearts and build futures. Note: Salary: $20 - $30 HOURLY, Part-time positions available. Minimum years of experience: 1. Level of education: n/a. Additional requirements will be reviewed during the interview process.

Job Description ABA Therapist After School and Evening Hours Job Summary: Golden Care Therapy NY, a leading provider of Applied Behavior Analysis (ABA) Therapy in The Bronx NY, is seeking a dedicated and compassionate ABA Therapist to join our team. As a valued member of our organization, you will play a vital role in helping children with Autism achieve their full potential. Our mission, "Reaching Hearts. Building Futures." guides us in providing a supportive and comprehensive ABA Therapy experience for our clients and their families. Responsibilities: Conduct ABA Therapy sessions with children with Autism, implementing customized treatment plans to meet their unique needs and goals Collaborate with clients' families to provide Parent Training, ensuring whole-family involvement in the therapy process Develop and maintain positive relationships with clients, families, and internal teams to ensure seamless care Communicate effectively with clients, families, and supervisors to share progress, concerns, and recommendations Maintain accurate records and documentation of therapy sessions, progress, and outcomes About the Role: As an ABA Therapist with Golden Care Therapy NY, you will have the opportunity to make a meaningful impact on the lives of children with Autism. Our organization is committed to providing a supportive and inclusive work environment, where you can grow professionally and personally. With our state-of-the-art facilities and cutting-edge therapies, you will be equipped to deliver exceptional care and support to our clients. What We Offer: A dynamic and supportive work environment Opportunities for professional growth and development Collaborative team environment A chance to make a meaningful difference in the lives of children with Autism How to Apply: If you are a dedicated and compassionate professional with a passion for helping children with Autism, we invite you to apply for this rewarding opportunity. Please apply for this part-time position and help us continue to reach hearts and build futures. Salary: $20 - $30 HOURLY. ABA Therapist Experience: Special education: 1 year (Preferred) Applied behavior analysis: 1 year (Preferred) Additional requirements will be reviewed during the interview process. Join our team and make a difference in the lives of children with Autism. Apply today!

About the Role: \n We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. \n Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. \n Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. \n To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. \n Advantages of contracting with us: \n\n • Choose which projects you want to work on and when.\n, • Work with state-of-the-art and unreleased AI coding agents.\n, • Work on your own schedule, using your own computer, from the comfort of your home.\n, • Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects.\n\n Responsibilities: \n\n • Create and work with coding environments, unit tests, and verifiers.\n, • Design and solve diverse coding problems used to train AI systems.\n, • Write clear, high-quality code and technical explanations.\n, • Evaluate model trajectories for accuracy, performance, readability, and best practices.\n, • Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.\n, • Provide structured feedback that helps improve the next generation of AI models.\n\n Qualifications: \n\n • Fluency in English (native or bilingual level).\n, • Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.\n, • Strong software engineering fundamentals, including problem-solving, debugging, and code review.\n, • Excellent written communication skills.\n, • A bachelor's degree (completed or in progress).\n, • Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred.\n\n Note: \n Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position. \n #SWE

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

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

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).

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

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

\n $30,000 Sign-On Bonus \n Crystal Run Healthcare, part of the Optum family of businesses, is seeking a dedicated, patient-centric full-time Endocrinologist to join our growing team in the New York suburbs of Middletown, NY. \n \n Optum, part of United Health Group, is a Fortune 5, value-based care delivery network of organizations that is evolving health care nationally while providing physician-led care locally so that everyone can have an opportunity to live their healthiest life. It's everything health care should be. Together, for better health. Work with the world's largest care delivery organization, reach for more. \n \n At Optum, you'll have the clinical resources, data and support of a global organization placing you (the physician) at the center of care so that you can help your patients live healthier lives. We believe you deserve an exceptional career which will empower you to live your best life at work and at home. Experience the fulfillment of advancing the health of your community with the excitement of contributing new practice ideas and initiatives that could help improve care for millions of patients across the country. Because together, we have the power to make health care better for everyone. Join us and discover how rewarding medicine can be while Caring. Connecting. Growing together \n \n The Endocrinology, Diabetes, & Metabolism Department at Crystal Run Healthcare is a busy, well-established, state-of-the-art practice serving patients throughout Orange County, Hudson Valley, and the lower Catskills. We have the team, equipment, and support you need to practice at the peak of your license and thrive as an Endocrinologist today and tomorrow! \n\n • Fellowship-trained, physician-led, patient centered team-based care environment\n, • Educate and empower your patients to take ownership of their health\n, • Opportunities for growth and development\n, • Stability of an established, reputable practice within a collegial multispecialty group with an exceptionally large referral base of over 400 local providers spanning over 70 medical and surgical specialties and sub-specialties\n, • Direct support staff and teams to assist with patient care and workflow\n, • Including Nutritionist & Certified Diabetes Educator support\n, • Autonomy and independence in practice, including a strong affiliation with local tertiary care hospital(s) that provides a full range of medical and procedural Endocrinology care services\n, • Desirable Monday - Friday schedules during normal business hours thatpromote work-life balance\n, • Manageable and equitably shared rotating on-call support and local inpatient rounding (i.e., 1:6 to 1:7-week rotations; very manageable)\n, • Patient census - adult focused (ages 18+)\n, • New grads are welcome to apply\n, • Learn more about our Endocrinology, Diabetes, & Metabolism department/team at Crystal Run Healthcare by clicking here\n\n \n Primary Responsibilities: \n The Endocrinology specialists at Crystal Run Healthcare are based out of our office locations in Middletown, NY; Monroe, NY; Newburgh, NY; West Nyack, NY; Rock Hill, NY; and Warwick, NY. \n An ideal candidate would be someone based primarily out of our West Nyack, NY office location (i.e., 2 Centerock Road) \n\n • Investigate, diagnose, and treat full range of endocrine system disorders, which encompasses everything from diabetes to hyperthyroidism to osteoporosis \n \n • We provide comprehensive, state-of-the-art diabetes care using a team-based approach to care - meaning, our team of full-time endocrinologists, nurse practitioners, diabetes educators and nutritionists all work together to help patients successfully treat diabetes and prevent its complications\n, • On-site screening for osteoporosis - because with proper detection,education, prevention, and treatment, together we can beat this silent disease\n, • Comprehensive services for the diagnosis and treatment of all thyroid disorders, including Hypothyroidism, Hyperthyroidism, Thyroid nodules, and Thyroid cancer \n \n • We provide on-site thyroid laboratory testing, thyroid function testing, thyroid imaging with ultrasonography, and thyroid biopsies\n \n \n, • Comprehensive medical and procedural endocrine care within a team of 14 highly skilled, fellowship-trained Endocrinologists and Advanced Practice Clinicians\n, • Consult with patients about the status of their endocrine health, while providing them with the latest advancements in care\n, • Start your days in out state-of-the-art, multi-specialty outpatient offices and finish your days rounding at the local hospital\n, • Refer patients to advanced specialists as needed\n, • Examine & diagnose patients, oversight of all treatment prior to and postsurgery and identify associated risks\n, • Order tests and interpret results to determine the best treatment options\n, • Maintain appropriate medical records and results\n, • Proficiency / comfort with thyroid biopsies highly preferred but not required\n\n \n What makes an Optum organization different? \n\n • As the largest employer of clinicians in the country, we have a best-in-class employee experience and enable you to practice at the peak of your license\n, • We recognize that if you want to provide good care and do it well, you can't do it alone - this is the foundation of the team-based care model\n, • The culture is one of clinical innovation and transformation\n, • We are influencing change on a national scale while still maintaining the culture and community of our local care organizations\n, • We grow talent from within. No matter where you want to go - geographically or professionally - you can do it at Optum\n\n \n Compensation & Benefits Highlights: \n\n • Guaranteed, competitive compensation model based on quality, with significant earning potential, annual increases, and bonus eligibility\n, • Potential for buy-in with local ASC's\n, • Financial stability and support of a Fortune 4 Company\n, • Robust retirement offerings including employer funded contributions and\n, • Employee Stock Purchase Plan (ESPP for UHG Stock)\n, • Physician partnership opportunities and incentives\n, • Generous PTO packages\n, • Comprehensive benefits plan inclusive of medical, dental, vision, STD/LTD, CME and malpractice coverage\n, • Robust clinician learning and development programs\n\n \n You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. \n Required Qualifications: \n\n • Completion of (or in process of completing) accredited relevant fellowship training program(s)\n, • BC in Endocrinology and any additional relevant Endocrine sub-specialties (if relevant)\n, • Unrestricted New York State Medical License (or ability to obtain)\n, • Current New York State DEA certificate (or ability to obtain)\n, • Basic Life Support (BLS) certification\n\n \n Preferred Qualification: \n\n • Proficiency / comfort with thyroid biopsies\n\n \n The Crystal Run Healthcare Story: \n Nestled in the Hudson Valley and lower Catskill region of New York we are close to nature, culture and arts, and just a short drive away from New York City. With easy commutes, affordable homes, fantastic schools and great communities for families to live and grow, Crystal Run Healthcare is the place for you to cultivate the life you want to live! \n

\n Jackson Therapy Partners is seeking a travel Skilled Nursing Facility (SNF) Speech Language Pathologist for a travel job in New York, New York. Job Description & Requirements\n \n • Specialty: Speech Language Pathologist\n, • Discipline: Therapy\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n \n Join Jackson Therapy Partners as a travel SLP and use your skills where they’re needed most. You’ll help patients improve communication and swallowing disorders while exploring a new part of the country. Apply today and a recruiter will reach out with more details. \n \n Minimum Requirements \n \n • Master's Degree in Speech-Language Pathology from an accredited educational program\n, • Completed CFY and current Certificate of Clinical Competence from ASHA\n, • Active State License is Required to Start the Assignment\n, • BLS Certification May Be Required from AHA or ARC\n \n \n Benefits Designed for Travelers \n We deeply value your commitment to impacting others, that’s why we offer a comprehensive and competitive benefits package starting your first day. \n \n • Weekly, On-Time Pay because that's how it should be\n, • Full Medical Benefits & 401k Matching Plan\n, • 24/7 Recruiter: Your main point of contact available by text, phone or email\n, • Competitive Referral Bonuses\n, • 100% Paid Housing Available\n, • Travel & License Reimbursement\n \n \n Impacting Patient Care Nationwide \n Join Jackson Therapy Partners as a Traveling SLP and get the flexibility, stability, and growth you deserve. Enjoy full-time pay, benefits, and relocation assistance in travel contracts that let you explore your favorite locations while maintaining job security in diverse settings nationwide. Choose from a variety of career options including direct hire, temp-to-hire, and travel contracts using ProVenture, our AI-enhanced career app designed for therapy professionals like you. \n \n Location Highlights \n New York, New York offers access to Central Park and the Hudson River Greenway, with both providing outdoor recreation options within the city. The area includes landmarks such as Times Square and the Metropolitan Museum of Art, and many neighborhoods offer subway access for commuting throughout Manhattan and the outer boroughs. Travelers can also visit Brooklyn Bridge Park and the High Line, two well-known public spaces that combine waterfront or elevated city views with walkable access to dining and cultural districts. \n \n EEO Statement \n Jackson Healthcare and its family of companies are an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender, gender identity and expression, national origin, age, disability or protected veteran status. We celebrate diversity and are committed to creating an inclusive environment for all of our associates. \n \n Jackson Therapy Partners Job ID #466305. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. About Jackson Therapy Partners\n \n Delivering a lifetime of opportunities in both contract and permanent positions, Jackson Therapy Partners™ connects highly skilled therapy and education professionals with rewarding careers at more than 1,300 rehab facilities, schools, outpatient clinics, hospitals, and skilled nursing facilities every year. Our award-winning team is 100% committed to you and to the development and success of your healthcare career. We take pride in being a value-driven company with a social conscious, and we're invested in your future. With Jackson, you'll get the jobs you want most from a company that values patient care as much as you do. Jackson Therapy Partners is part of the Jackson Healthcare® family of companies. \n \n

\n Jackson Therapy Partners is seeking a travel Outpatient Physical Therapist for a travel job in New York, New York. Job Description & Requirements\n \n • Specialty: Physical Therapist\n, • Discipline: Therapy\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n \n Looking for a change of scenery and a chance to help others. Join a traveling Physical Therapist team in New York, NY, working in an outpatient facility where you will help patients recover from injuries and manage chronic conditions. Apply now and a recruiter will reach out with details. \n \n Minimum Requirements \n \n • Bachelor's, Master's, or Doctoral Degree in Physical Therapy from an accredited program approved by the APTA.\n, • Active New York State Physical Therapy license required to start the assignment.\n, • BLS certification from AHA or ARC may be required.\n, • Experience in outpatient settings preferred.\n, • Experience with common outpatient modalities and documentation systems preferred.\n \n \n Assignment Details \n \n • Facility type: Outpatient.\n, • Shift name: Days.\n \n \n Location Highlights \n New York, NY offers varied urban and cultural experiences within a compact commute. Manhattan landmarks such as Central Park and Times Square are within the city and accessible by subway lines with typical commute times under 60 minutes from many borough neighborhoods. The city provides waterfront access along the Hudson River and East River with ferry service and multiple parks. Cultural attractions include the Metropolitan Museum of Art and Broadway theaters, both reachable by public transit within 30–45 minutes depending on starting location. The area supports an urban lifestyle with extensive dining options, biking infrastructure, and regional train service to nearby Hudson Valley and Long Island destinations for outdoor recreation. \n \n Benefits Designed for Travelers \n We value your commitment to patient care. You will have access to comprehensive benefits starting on the first day of eligibility. \n \n • Weekly, on-time pay.\n, • Full medical benefits and 401(k) matching plan.\n, • 24/7 recruiter support by text, phone, or email.\n, • Competitive referral bonuses.\n, • 100% paid housing options available.\n, • Travel and license reimbursement.\n \n \n Impacting Patient Care Nationwide \n Join as a travel Physical Therapist to gain flexibility, stability, and professional growth. Positions include full-time travel contracts with options for direct hire and temp-to-hire. Use specialized career tools to explore opportunities and manage assignments. \n \n EEO Statement \n All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender, gender identity and expression, national origin, age, disability, or protected veteran status. The organization celebrates diversity and is committed to creating an inclusive environment for all associates. \n \n Jackson Therapy Partners Job ID #438903. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. About Jackson Therapy Partners\n \n Delivering a lifetime of opportunities in both contract and permanent positions, Jackson Therapy Partners™ connects highly skilled therapy and education professionals with rewarding careers at more than 1,300 rehab facilities, schools, outpatient clinics, hospitals, and skilled nursing facilities every year. Our award-winning team is 100% committed to you and to the development and success of your healthcare career. We take pride in being a value-driven company with a social conscious, and we're invested in your future. With Jackson, you'll get the jobs you want most from a company that values patient care as much as you do. Jackson Therapy Partners is part of the Jackson Healthcare® family of companies. \n \n

\n Soliant Health is seeking a travel MRI Technologist for a travel job in Bronx, New York. Job Description & Requirements\n \n • Specialty: MRI Technologist\n, • Discipline: Allied Health Professional\n, • Duration: 13 weeks\n, • 40 hours per week\n, • Shift: 8 hours\n, • Employment Type: Travel\n \n \n Degree in Radiologic Technology, Certification in Radiologic Technology (ARRT Certification), and minimum 1+ years MRI experience required. Applicants who do not meet these qualifications will not be considered. \n Discover the vibrant energy of Bronx, NY while advancing your career as an MRI technologist. This bustling borough offers endless opportunities to immerse yourself in local culture, diverse neighborhoods, and an array of parks and eateries. As a travel MRI professional, you'll benefit from both professional growth and the excitement of exploring a new city during your free time. \n This 13-week assignment provides valuable exposure to different workplace practices and innovative leadership styles, elevating your skills and enriching your professional journey. You'll work alongside a talented team in a collaborative healthcare environment, gaining hands-on experience that stands out on your resume. Beyond work, take advantage of nearby attractions, vibrant street art, and historic sites—turning each day off into a new adventure. \n Assignment Details: \n \n • 13-week travel opportunity\n, • 40 hours per week\n, • Monday – Friday schedule\n, • 8:00 am – 4:30 pm\n \n Qualifications: \n \n • Current ARRT(MR) certification\n, • Active BLS credential\n, • Valid NY injection license\n, • Demonstrated MRI Tech experience specifically with Phillips equipment\n \n Core Responsibilities: \n \n • Perform MRI procedures using Phillips technology with accuracy and care\n, • Ensure patient safety and comfort during imaging sessions\n, • Collaborate with physicians and staff to deliver high-quality imaging results\n, • Maintain detailed and accurate records in accordance with regulatory requirements\n, • Troubleshoot and communicate any equipment or procedural issues\n \n Benefits & Travel Perks: \n \n • Enjoy tax-advantaged housing and meal stipends\n, • Premium compensation for travel assignments\n, • Comprehensive healthcare coverage starting on day one\n, • 401(k) retirement savings with employer match\n, • Travel assistance for logistics and relocation\n, • Robust job security with plenty of future opportunities\n, • Expand your professional network and skillset\n, • Flexibility to explore and experience life beyond the workplace\n \n Seize this excellent chance to elevate your career, explore New York City’s vibrant heart, and enjoy meaningful adventures along the way. Qualified MRI technologists ready for their next chapter are encouraged to apply now and take advantage of this rewarding opportunity. \n $3,354 - $3,536/Week Estimated weekly earnings represent hourly wages, based on 40 hours per week, and expense reimbursement for eligible candidates. The actual amount may vary based on hours worked, eligibility for reimbursements, and seasonal adjustments. \n Eligible candidates may also receive healthcare benefits, housing, and meals/incidentals. Full details of our healthcare benefits plan can be found here. This posting is open for 60 days after the posting date. \n #p11 \n \n Soliant Health Job ID #9667937-10457. Pay package is based on 8 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. About Soliant Health\n \n With Soliant, you become part of something big. We believe that together, we’re better. Soliant fosters an environment of giving – of our time and resources – to the communities we serve. We do our part corporately by providing our healthcare professionals with unmatched career opportunities, compensation and personalized service that goes beyond job placement. Our healthcare professionals are then free to enrich the communities in which they live, volunteering or giving where their hearts lead them. We’re a different kind of healthcare staffing agency. We build communities of care wherever we are – on the job and in the neighborhoods in which we live. \n Benefits\n \n • Weekly pay\n, • 401k retirement plan\n, • License and certification reimbursement\n \n

Job Description Drive the Future with Xos Xos (NASDAQ: XOS), is a technology company and electric truck manufacturer on a mission to decarbonize commercial transportation. We design and build state-of-the-art electric vehicles, develop advanced fleet management software, and create charging solutions that make fleet electrification seamless and cost-efficient. At Xos, we're problem-solvers, innovators, and go-getters, working together to drive a cleaner, more sustainable future. Join us and be part of the movement shaping the next generation of commercial transportation. The Role Xos is hiring an experienced Field Service Technician responsible for diagnosing, repairing, and reporting on Xos vehicles. Operating primarily in the field, this role requires a high level of productivity and self-reliance while traveling. The Field Service Technician is responsible for taking customers' stated concerns and quantifying those into actionable technical issues. Detailed reporting on the cause, root cause, and corrective actions will drive improved production quality as well as field fix development. Exceptional customer service, knowledge of the complete vehicle, in addition to battery systems, is key to success in this position. This role will focus on servicing the Eastern Region and requires frequent multi-state and international travel, including regular cross-border travel to Canada, to support customer and field service needs Responsibilities • Diagnose, repair, and report on quality and design concerns on Xos vehicles and products., • Collaborate with internal teams such as design, engineering, software, and external partners., • Demonstrate proficiency in low voltage (LV) and high voltage (HV) electrical diagnosis, controls, and module programming., • Apply in-depth knowledge of basic electrical concepts, including the use of various volt-ohm meters., • Possess strong mechanical knowledge of commercial truck mechanical systems with experience in motors and harness systems preferred., • Provide professional customer facing support through face-to-face interactions and through phone and email communications., • Complete timely and accurate case notes, repair orders, and initiate new cases as required., • Demonstrate professional appearance and effective communication skills with customers on-site and in remote interactions., • Complete training objectives and certifications as assigned by management., • Perform additional duties as assigned. Qualifications • Proven proficiency with high and low voltage electrical systems., • Associates Degree or Vocational Certificate in automotive service technology related field or 4+ years of relevant experience., • ASE Certifications are a plus, • CDL class A or B preferred, • Proficiency in Google Suite applications, • Ability to read and interpret electrical schematics, • A valid Driver's License and a clean driving record are required for this position, as driving is an essential function of the role., • Ability to meet security clearance requirements for employment and comply with all applicable pre-employment conditions, including those required by federal or customer-regulated work environments., • Must be legally eligible for international travel and admissible to Canada for business purposes, and able to obtain and maintain all required travel documentation., • Must be available to travel as business needs require (typically 60-80% of the time including overnight stays), including weekends, holidays, and outside standard business hours. Travel includes frequent cross-border assignments to Canada. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. While performing the essential functions of this job, the employee is regularly required to lift over 50 pounds, perform work under commercial vehicles with the use of personal protective equipment from the ground at various worksite locations, including outdoors and in varying weather conditions. The salary range for this role is specific to the locations listed below and is the range Xos Inc. reasonably and in good faith expects to pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including not but limited to, job-related knowledge, skillset, relevant education, qualifications, certifications, geographic location, and other business or organizational factors. • $30.00 - $35.00(+) DOE per hour Benefits & Perks Xos is a people-focused company—we are committed to providing our employees with a comprehensive package of benefits and perks designed to support their well-being and professional growth. We continually evaluate and expand our offerings to best serve our team. • Comprehensive Medical, Dental, and Vision - Coverage for you and your family, with PPO and HMO (California) plans available. We offer plans with 100% covered employee premiums. Employees can also enroll in a variety of voluntary ancillary benefits to further support their needs., • HSA & FSA Plans - Set aside pre-tax dollars for qualified healthcare expenses., • PTO - Accrue vacation time over time, with additional days earned as your tenure grows, plus sick time and paid holidays!, • Generous Company Holidays - Enjoy a generous holiday calendar, including a winter holiday hiatus in December., • Basic Life & AD&D Insurance - 100% covered by Xos, with the option to purchase additional life insurance coverage for yourself and eligible dependents., • Betterment 401(k) - Save for retirement with our employer-sponsored plan through Betterment., • Pet Insurance - Coverage for your furry friends to keep them healthy and happy!, • Additional opportunities to learn, grow, and advance in your career, just to name a few! We are dedicated to fostering a workplace where employees can thrive. Our benefits continue to evolve to best support our team's well-being and success. Commitment to Equal Opportunity Xos is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, gender, pregnancy, sex, sexual orientation, gender identity, gender expression, national origin, age, genetic information, ancestry, protected veteran status, disability, or any other basis protected by local, state, or federal law. Xos provides equal access to services and employment to all qualified persons. For applicants with disabilities or limitations, such as those covered by the Americans with Disabilities Act, requiring accommodations to complete the application and/or interview process, please email us at support@xostrucks.com Candidate Data Privacy This notice describes how Xos (as used in this Notice, the terms "Company," "Xos," "we," "our," or "us" in this Notice refers to Xos, Inc., together with its subsidiaries and other corporate affiliates, who may handle your candidacy and application for employment) may collect, process, and use your personal data in connection with the recruitment process when you apply for a position. Xos may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in the recruitment process ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Xos may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Xos may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform duties, including individuals on our People Operations Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Xos affiliates; and (iii) Xos's service providers, including providers of background checks, staffing services, and cloud services. Where permitted by applicable law, Xos may transfer or store internationally your Candidate Profile Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Notice to Recruitment Services Xos is not accepting applications from third-party recruitment services at this time. Unsolicited resumes or candidate profiles submitted in response to our job postings will not be subject to any referral or placement fees unless a written agreement is in place with Xos for the specific job opportunity.

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

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

Job Description General Service Technicians (Oil, Tire & Lube) Join the World's Largest Midas Franchisee - Now Proudly Part of the Mavis Tire Family! Put your career into high gear with Auto Systems Centers, the world's largest Midas franchisee! We have joined the Mavis Tire family, combining our rich history in the automotive industry with the support and stability of Mavis's national platform. We are currently seeking full-time General Service Technician for our state-of-the-art service, repair, and tire center in Troy, NY. WHY YOU'LL LOVE WORKING WITH US We offer a competitive package that respects your skills and rewards your dedication: • Competitive Weekly Pay: Guaranteed base pay plus significant weekly bonus potential., • Work-Life Balance: 5-day work week with Sundays and one other weekday off., • Invested in Your Future: 401(k) retirement savings plan with an employer match., • Comprehensive Benefits: Health, dental, vision, and life insurance coverage., • Paid Time Off: Paid vacations, paid holidays, and general PTO., • Career Growth: ASE certification support, pay increases for credentials, and a commitment to promoting from within., • Tool and Uniform Support: We cover uniform expenses and offer an employee tool purchase program. WHAT IS THIS GREAT CAREER OPPORTUNITY? As a Midas General Service Technician, you're the backbone of our business. That's why you'll realize the rewards of a career with competitive, guaranteed base compensation PLUS additional earning potential through significant weekly bonus payments. NO EXPERIENCE IS NEEDED! We'll teach you everything you need to know through PAID TRAINING. • General Service Technicians install new tires and wheels and perform tire services -- like rotations, balancing and flat repairs -- to keep our valued customers' vehicles operating safely., • While providing best-in-class automotive service, you'll get weekly bonus payments tied to every single service you perform on top of your guaranteed hourly rate. WHAT WE'RE LOOKING FOR • Experience: Automotive experience is a plus, but not required. We are willing to train motivated individuals., • Requirements: Must be at least 18 years old and authorized to work in the U.S., • Physical Ability: Ability to stand, walk, bend, and lift/move items weighing over 50 pounds., • Mindset: You value dependability, teamwork, and providing quality service in a fast-paced environment. HOW TO APPLY Apply now to join a team that values your experience! • Online: Visit https://midas.applicantpro.com/jobs/, • In-Person: Walk into any of our stores for an immediate interview. Equal Employment Opportunity Statement Job Posted by ApplicantPro

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

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