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Company Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description The English as a Second Language (ESL) Teacher will help provide and guide instruction for K-12 ESL students across several campuses at North Star Academy. The ESL teacher will work closely with the school-based Special Education Coordinators, as well as with teachers and leaders throughout the region, so this position requires the ability to travel between our Newark campuses. The ESL Teacher will report to the Associate Director of Special Education. RESPONSIBILITIES • Demonstrate a relentless drive to improve the minds, characters & lives of students both in and out of school, • Show unwavering commitment to urban youth achieving greatness, • Provide in-class support in the general education setting and small group instruction to ESL students, • Provide support and feedback to content teachers on sheltered instruction strategies as needed, • Attend and participate IEP meetings for English Learners as directed by the Associate Director of Special Education, • Follow ESSA guidelines for identification, instruction, assessment, and exiting ESL students, • Create a positive, structured learning environment to ensure that students observe the school’s core values, high expectations, and strict code of conduct, • Implement curricula and activities to meet academic and language acquisition standards aligned to the WIDA English language development standards, • Complete training for administering WIDA assessments used to identify and determine continued eligibility for ESL services, • Provide consistent rewards and/or consequences for student behavior to ensure that students observe the school’s core values, high expectations, and strict code of conduct, • Be accountable for students’ mastery of academic and language acquisition standards, • Exhibit resilience to persevere and turn challenges into opportunities, • Focus constantly on student learning, thinking critically and strategically to respond to student learning needs, • Communicate effectively with students, families, and colleagues, • Engage families in their children’s education, • Commit to continual professional growth Qualifications • Drive to improve the minds and lives of students in and out of the classroom, • Flexibility to adapt to the needs of our students, • Proven track-record of high achievement in the classroom, • Mastery of and enthusiasm for academic subjects, • Evidence of self-motivation and willingness to be a team player, • Bachelor’s degree is required; Master’s degree is preferred; and, • Minimum of two years teaching experience in an urban public school or charter school setting preferred, • By the time that employment begins, candidates must have received a Bachelor's degree from a College or University. For teaching roles in New Jersey, the candidates must have earned a cumulative 2.75 GPA (for candidates graduating before September 1, 2016) or 3.0 (for candidates graduating on or after September 1, 2016)., • Valid NJ English as a Second Language State Certification is highly preferred, • Belief in and alignment with Uncommon’s core beliefs and educational philosophy is non-negotiable. Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Our Approach to AI and Your Application At Uncommon Schools, we value thoughtful use of technology. Your responses should begin with your own thinking and reflect your authentic voice, experiences, and commitment to our mission. Generative AI can be used to refine or organize writing, but not to generate initial responses or replace your ideas. Every application is reviewed by a member of our Recruitment Team, and we are committed to understanding the person behind the application. Compensation Compensation for this role is between $60,000 to $90,000. Starting pay is determined using various factors including but not limited to relevant full-time teaching experience, education certifications, and tenure with Uncommon Schools. Candidates without full-time Teaching experience will likely have a starting salary of $60,000. Benefits Generous paid time off inclusive of sick time, paid holidays, and ~10 weeks of paid breaks (Spring, Winter, and Summer). Extensive, best-in-class training and development Comprehensive health, dental, and vision insurance plans + pre-tax flexible spending (FSA), dependent care (DCFSA), and health saving accounts (HSA) Financial Planning New Jersey Pension program Paid leave of absence options (parental, medical, disability, etc.) Mental health and counseling support + wellness benefits *A detailed list of all SY 26-27 benefits is located _. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email recruitment@uncommonschools.org.

Job Title: Surgical Technician Location: Jersey City Medical Center Department Name: Labor & Delivery Req #: 0000258439 Status: Hourly Shift: Night Pay Range: $31.41 - $38.42 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. Surgical Technologist – RWJBarnabas Health At RWJBarnabas Health, Surgical Technologist become part of a highly collaborative perioperative team where precision, teamwork, and patient-centered care support exceptional surgical outcomes. This Surgical Technologist role offers opportunities for professional growth, advanced clinical experience, and a culture committed to safety, innovation, and continuous improvement. As a Surgical Technician, you will play an essential role in preparing the operating room, supporting surgeons and perioperative nurses during procedures, and helping ensure every patient receives safe, efficient, and high-quality surgical care. Joining RWJBarnabas Health means joining a community where every Surgical Technician is encouraged to grow, contribute, and make a meaningful impact. A typical day for a Surgical Technologist may include: • Preparing operating rooms by ensuring surgical instruments, equipment, and sterile supplies are organized, available, and ready for scheduled procedures, • Collaborating with the perioperative registered nurse to provide individualized, age-appropriate care for patients throughout the surgical experience, • Maintaining a sterile field and adhering to infection prevention, aseptic technique, and organizational policies to promote safe surgical outcomes, • Anticipating the surgeon’s instrumentation and equipment needs during procedures while responding efficiently to changes in surgical conditions, • Assisting the surgical team during routine and complex procedures by handling instruments, supplies, and equipment with precision and attention to detail, • Monitoring the surgical environment to help ensure patients' physiologic responses remain appropriate throughout the perioperative experience, • Supporting a safe operating room environment by following established risk reduction practices, including fire prevention protocols and safety procedures related to laser and electrosurgical equipment, • Collaborating closely with surgeons, anesthesia providers, registered nurses, and other members of the perioperative team to deliver coordinated, patient-centered care, • Maintaining accurate preparation, organization, and turnover of surgical equipment to promote efficient workflow and readiness between procedures, • Participating in departmental education, orientation, competency validation, and quality improvement initiatives that support ongoing clinical excellence. This role might be for you if: • You thrive in a fast-paced surgical environment where organization and attention to detail are essential, • You remain calm, adaptable, and focused during complex or changing surgical procedures, • Strong teamwork and communication skills help you collaborate effectively with surgeons, nurses, anesthesia providers, and other perioperative professionals, • You anticipate the needs of the surgical team and take pride in supporting efficient, high-quality surgical care, • Patient safety, sterile technique, and quality outcomes guide your daily work, • You value accountability, professionalism, and continuous learning in your clinical practice, • You enjoy contributing to a collaborative culture focused on delivering exceptional patient care To be considered for this Surgical Technologist opportunity, you are passionate about supporting safe, high-quality surgical care through technical expertise and collaborative teamwork. You have successfully completed a nationally or regionally accredited Surgical Technology program or hold and maintain a Certified Surgical Technologist (CST) credential through the National Board of Surgical Technology and Surgical Assisting (NBSTSA) or another nationally recognized credentialing organization. Current American Heart Association Basic Life Support (BLS) certification is required, along with successful completion of departmental orientation and competency requirements. You are committed to maintaining the highest standards of patient safety, surgical excellence, and professional practice while contributing to an outstanding perioperative team.

We are actively looking to hire talented adult, pediatric or lifespan Psychologists, who are passionate about patient care and committed to clinical excellence. We are seeking full-time Psychologists in the Jersey City, NJ area. Description As a Psychologist at LifeStance Health, you will be an integral part of our growing team, serving the mental healthcare needs of our clients and community. You’ll see clients in an outpatient clinical setting for in-person testing, with intakes and feedbacks completed in person or via telehealth based on client and clinician preference. You will have the opportunity to provide interdisciplinary care and collaborate with other LifeStance professionals, including psychiatrists, nurse practitioners, psychologists, social workers and therapists. You will see clients with a variety of backgrounds and reasons for referral, including concern for a developmental disability/autism, ruling in or out attention deficit/hyperactivity disorder, a complex psychdiagnostic picture, learning and achievement differences, and neurological insult or injury. As we grow, we will work to develop referral streams that complement the interests of our clinicians. Responsibilities Day-to-day job responsibilities will include: performing testing intakes, planning assessment batteries, administering Psychological measures, interpreting data, writing reports, providing feedback sessions, clarifying diagnoses, completing documentation, and developing treatment plans. • flexible times/days, no required weekend or on-call duties, • Telemedicine and in-person flexibility., • Generous ‘above market’ compensation with unlimited/uncapped earnings., • Full benefits package: health, dental, vision, life, 401k (with match), paid parental leave, holidays, EAP and more., • Collegial work environment., • Newly designed and modern offices., • Full administrative support., • Latest in digital technology., • Access to our library of test materials., • Opportunities for peer supervision and consultation., • Strong work/life balance., • Full-time Sign-on Bonus., • Above market compensation-range from $140,000 to $168,000+. Compensation model based on productivity, • Requirements & Qualifications:, • Doctoral degree (PhD, PsyD) from APA accredited program., • Are board certified or board eligible (ABPP, ABCN)., • Are fully licensed and credentialed in one or more US states., • Have experience caring for pediatric, adolescent, adult and/or geriatric populations. (we do see across lifespan, clinician is able to set the parameters of comfortability in age range)

We are actively looking to hire talented adult, pediatric or lifespan Psychologists, who are passionate about patient care and committed to clinical excellence. We are seeking full-time Psychologists in the Paramus, NJ area. Description As a Psychologist at LifeStance Health, you will be an integral part of our growing team, serving the mental healthcare needs of our clients and community. You’ll see clients in an outpatient clinical setting for in-person testing, with intakes and feedbacks completed in person or via telehealth based on client and clinician preference. You will have the opportunity to provide interdisciplinary care and collaborate with other LifeStance professionals, including psychiatrists, nurse practitioners, psychologists, social workers and therapists. You will see clients with a variety of backgrounds and reasons for referral, including concern for a developmental disability/autism, ruling in or out attention deficit/hyperactivity disorder, a complex psychdiagnostic picture, learning and achievement differences, and neurological insult or injury. As we grow, we will work to develop referral streams that complement the interests of our clinicians. Responsibilities Day-to-day job responsibilities will include: performing testing intakes, planning assessment batteries, administering neuropsychological measures, interpreting data, writing reports, providing feedback sessions, clarifying diagnoses, completing documentation, and developing treatment plans. • flexible times/days, no required weekend or on-call duties, • Telemedicine and in-person flexibility., • Generous ‘above market’ compensation with unlimited/uncapped earnings., • Full benefits package: health, dental, vision, life, 401k (with match), paid parental leave, holidays, EAP and more., • Collegial work environment., • Newly designed and modern offices., • Full administrative support., • Latest in digital technology., • Access to our library of test materials., • Opportunities for peer supervision and consultation., • Strong work/life balance., • Full-time Sign-on Bonus., • Above market compensation-range from $140,000 to $168,000+. Compensation model based on productivity, • Requirements & Qualifications:, • Doctoral degree (PhD, PsyD) from APA accredited program., • Are board certified or board eligible (ABPP, ABCN)., • Are fully licensed and credentialed in one or more US states., • Have experience caring for pediatric, adolescent, adult and/or geriatric populations. (we do see across lifespan, clinician is able to set the parameters of comfortability in age range)

We are actively looking to hire talented adult, pediatric or lifespan Psychologists, who are passionate about patient care and committed to clinical excellence. We are seeking full-time Psychologists in the North Brunswick, NJ area. Description As a Psychologist at LifeStance Health, you will be an integral part of our growing team, serving the mental healthcare needs of our clients and community. You’ll see clients in an outpatient clinical setting for in-person testing, with intakes and feedbacks completed in person or via telehealth based on client and clinician preference. You will have the opportunity to provide interdisciplinary care and collaborate with other LifeStance professionals, including psychiatrists, nurse practitioners, psychologists, social workers and therapists. You will see clients with a variety of backgrounds and reasons for referral, including concern for a developmental disability/autism, ruling in or out attention deficit/hyperactivity disorder, a complex psychdiagnostic picture, learning and achievement differences, and neurological insult or injury. As we grow, we will work to develop referral streams that complement the interests of our clinicians. Responsibilities Day-to-day job responsibilities will include: performing testing intakes, planning assessment batteries, administering psychological measures, interpreting data, writing reports, providing feedback sessions, clarifying diagnoses, completing documentation, and developing treatment plans. • flexible times/days, no required weekend or on-call duties, • Telemedicine and in-person flexibility., • Generous ‘above market’ compensation with unlimited/uncapped earnings., • Full benefits package: health, dental, vision, life, 401k (with match), paid parental leave, holidays, EAP and more., • Collegial work environment., • Newly designed and modern offices., • Full administrative support., • Latest in digital technology., • Access to our library of test materials., • Opportunities for peer supervision and consultation., • Strong work/life balance., • Full-time Sign-on Bonus., • Above market compensation-range from $140,000 to $168,000+. Compensation model based on productivity, • Requirements & Qualifications:, • Doctoral degree (PhD, PsyD) from APA accredited program., • If early career Psychologist they should have internship/training that meets guideline, • Are board certified or board eligible (ABPP, ABCN)., • Are fully licensed and credentialed in one or more US states., • Have experience caring for pediatric, adolescent, adult and/or geriatric populations. (we do see across lifespan, clinician is able to set the parameters of comfortability in age range)

We are actively looking to hire talented adult, pediatric or lifespan Psychologists, who are passionate about patient care and committed to clinical excellence. We are seeking full-time Psychologists in the North Brunswick, NJ area. Description As a Psychologist at LifeStance Health, you will be an integral part of our growing team, serving the mental healthcare needs of our clients and community. You’ll see clients in an outpatient clinical setting for in-person testing, with intakes and feedbacks completed in person or via telehealth based on client and clinician preference. You will have the opportunity to provide interdisciplinary care and collaborate with other LifeStance professionals, including psychiatrists, nurse practitioners, psychologists, social workers and therapists. You will see clients with a variety of backgrounds and reasons for referral, including concern for a developmental disability/autism, ruling in or out attention deficit/hyperactivity disorder, a complex psychdiagnostic picture, learning and achievement differences, and neurological insult or injury. As we grow, we will work to develop referral streams that complement the interests of our clinicians. Responsibilities Day-to-day job responsibilities will include: performing testing intakes, planning assessment batteries, administering psychological measures, interpreting data, writing reports, providing feedback sessions, clarifying diagnoses, completing documentation, and developing treatment plans. • flexible times/days, no required weekend or on-call duties, • Telemedicine and in-person flexibility., • Generous ‘above market’ compensation with unlimited/uncapped earnings., • Full benefits package: health, dental, vision, life, 401k (with match), paid parental leave, holidays, EAP and more., • Collegial work environment., • Newly designed and modern offices., • Full administrative support., • Latest in digital technology., • Access to our library of test materials., • Opportunities for peer supervision and consultation., • Strong work/life balance., • Full-time Sign-on Bonus., • Above market compensation-range from $140,000 to $168,000+. Compensation model based on productivity, • Requirements & Qualifications:, • Doctoral degree (PhD, PsyD) from APA accredited program., • If early career Psychologist they should have internship/training that meets guideline, • Are board certified or board eligible (ABPP, ABCN)., • Are fully licensed and credentialed in one or more US states., • Have experience caring for pediatric, adolescent, adult and/or geriatric populations. (we do see across lifespan, clinician is able to set the parameters of comfortability in age range)

We are actively looking to hire talented adult, pediatric or lifespan Psychologists, who are passionate about patient care and committed to clinical excellence. We are seeking full-time Psychologists in the Jersey City, NJ area. Description As a Psychologist at LifeStance Health, you will be an integral part of our growing team, serving the mental healthcare needs of our clients and community. You’ll see clients in an outpatient clinical setting for in-person testing, with intakes and feedbacks completed in person or via telehealth based on client and clinician preference. You will have the opportunity to provide interdisciplinary care and collaborate with other LifeStance professionals, including psychiatrists, nurse practitioners, psychologists, social workers and therapists. You will see clients with a variety of backgrounds and reasons for referral, including concern for a developmental disability/autism, ruling in or out attention deficit/hyperactivity disorder, a complex psychdiagnostic picture, learning and achievement differences, and neurological insult or injury. As we grow, we will work to develop referral streams that complement the interests of our clinicians. Responsibilities Day-to-day job responsibilities will include: performing testing intakes, planning assessment batteries, administering Psychological measures, interpreting data, writing reports, providing feedback sessions, clarifying diagnoses, completing documentation, and developing treatment plans. • flexible times/days, no required weekend or on-call duties, • Telemedicine and in-person flexibility., • Generous ‘above market’ compensation with unlimited/uncapped earnings., • Full benefits package: health, dental, vision, life, 401k (with match), paid parental leave, holidays, EAP and more., • Collegial work environment., • Newly designed and modern offices., • Full administrative support., • Latest in digital technology., • Access to our library of test materials., • Opportunities for peer supervision and consultation., • Strong work/life balance., • Full-time Sign-on Bonus., • Above market compensation-range from $140,000 to $168,000+. Compensation model based on productivity, • Requirements & Qualifications:, • Doctoral degree (PhD, PsyD) from APA accredited program., • Are board certified or board eligible (ABPP, ABCN)., • Are fully licensed and credentialed in one or more US states., • Have experience caring for pediatric, adolescent, adult and/or geriatric populations. (we do see across lifespan, clinician is able to set the parameters of comfortability in age range)

We are actively looking to hire talented adult, pediatric or lifespan Psychologists, who are passionate about patient care and committed to clinical excellence. We are seeking full-time Psychologists in the Jersey City, NJ area. Description As a Psychologist at LifeStance Health, you will be an integral part of our growing team, serving the mental healthcare needs of our clients and community. You’ll see clients in an outpatient clinical setting for in-person testing, with intakes and feedbacks completed in person or via telehealth based on client and clinician preference. You will have the opportunity to provide interdisciplinary care and collaborate with other LifeStance professionals, including psychiatrists, nurse practitioners, psychologists, social workers and therapists. You will see clients with a variety of backgrounds and reasons for referral, including concern for a developmental disability/autism, ruling in or out attention deficit/hyperactivity disorder, a complex psychdiagnostic picture, learning and achievement differences, and neurological insult or injury. As we grow, we will work to develop referral streams that complement the interests of our clinicians. Responsibilities Day-to-day job responsibilities will include: performing testing intakes, planning assessment batteries, administering Psychological measures, interpreting data, writing reports, providing feedback sessions, clarifying diagnoses, completing documentation, and developing treatment plans. • flexible times/days, no required weekend or on-call duties, • Telemedicine and in-person flexibility., • Generous ‘above market’ compensation with unlimited/uncapped earnings., • Full benefits package: health, dental, vision, life, 401k (with match), paid parental leave, holidays, EAP and more., • Collegial work environment., • Newly designed and modern offices., • Full administrative support., • Latest in digital technology., • Access to our library of test materials., • Opportunities for peer supervision and consultation., • Strong work/life balance., • Full-time Sign-on Bonus., • Above market compensation-range from $140,000 to $168,000+. Compensation model based on productivity, • Requirements & Qualifications:, • Doctoral degree (PhD, PsyD) from APA accredited program., • Are board certified or board eligible (ABPP, ABCN)., • Are fully licensed and credentialed in one or more US states., • Have experience caring for pediatric, adolescent, adult and/or geriatric populations. (we do see across lifespan, clinician is able to set the parameters of comfortability in age range)

Job DescriptionThis position will perform routine and non-routine maintenance, diagnostic and repair work on vehicles (buses, vans etc.) which adheres to FirstGroup standards. Performs work under minimal supervision. Handles more complex problems and can resolve independently. All work is performed with a commitment to safety. May mentor or provide informal guidance to Technician I and/or Technician II. Also, may act as a Shift Foreman and may receive a shift premium.In the state of Washington, this position is considered a safety-sensitive position and is therefore subject to drug and alcohol testing, including cannabis.$28.00/hrMajor Responsibilities • Ensure vehicles are maintained and safe for our customers by performing limited repairs with minimal supervision on both basic and complex maintenance such as replacement of light bulbs, fuses, lenses, wiper blades, belts, hoses, batteries, check fluid levels, change fluids and filters and lubricate components., • Perform mechanical repairs under minimal supervision including the repair of brakes and brake inspections, engine tune-ups, suspensions, drive trains, transmission clutches and other repairs., • Maintain records of all maintenance work completed on vehicles including parts and supplies used. Ensure that work orders are completed properly and accurately. Maintain parts usage records and order repair parts from designated suppliers., • Diagnoses and performs accurately all phases of vehicle and equipment repair under minimal supervision. May perform diagnostic tests utilizing a computer and manufacturer's software to determine mechanical defects., • Lead preventative maintenance (PM's), safety maintenance inspections and annual maintenance inspections at prescribed intervals of time and usage, • Remove, overhaul and reinstallation of mechanical components with minimal Tech in Charge supervision, • Notify supervisor of potentially dangerous equipment and corrective action taken, • Evaluates completed work prior to release and seeks approval where required, • Leads road calls and emergency services as necessary, • Adhere to FirstGroup standards, policies and procedures, • Moves vehicles safely between job and work area, • Repair and maintain all shop equipment, • Other responsibilities as requested or required Minimum Education or Certifications Required • High school diploma or GED equivalent preferred; vocational or technical certification in vehicle repair (preferred), • Class B CDL with passenger endorsement required (or expected within 3 months of hire), • State inspection license (if required), • ASE Certification preferred. Must participate in ASE testing program (expected to have 6 ASE within 6 months of hire) Minimum Experience or Skills Required • Advanced mechanical aptitude and 5 years of automotive or diesel repair experience (preferred) or equivalent education and experience, • Adhere to standards set by state DOT for motor vehicle inspections and safety standards, • Valid driver's license, • Advanced problem-solving ability, • Advanced computer skills, • Comfortable using hand tools, • Excellent customer service skills and communication skills, • Ability to work independently as well as part of a team, • Maintain an organized shop and clean work environment, • Regular, predictable, full attendance is an essential function of the job, • Making sure vehicles are maintained and safe for our customers, • Possess adequate mechanic tool inventory to complete all assigned duties and maintained in a clean and safe manner Physical Requirements and Working Conditions • Maintenance Shop environment with dust, dirt and grease conditions, • Ability to work under all weather conditions, • Ability to lift a minimum of 50 pounds, • Ability to work in a crouched position or on back, lying on mechanic's creeper, beneath motor vehicle equipment Disclaimer Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. This job description reflects management's assignment of essential functions, it does not prescribe or restrict the tasks that may be assigned. First for a reason: At First Student, we are a family of 60,000+ employees who take pride in safely transporting more than 5 million students and passengers to and from their destinations each day! Our family of brands include Transco, Total Transportation, Maggies Paratransit, and GVC II. Our employees are at the forefront of safety and innovation; they create and implement the most advanced training and technology the transportation industry has to offer. In the state of Washington, all technician and driving positions, including but not limited to van drivers and any other position requiring employees to drive a company-owned vehicle, are considered safety-sensitive and are therefore subject to drug and alcohol testing, including cannabis. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. First is also committed to providing a drug-free workplace. First will consider for employment qualified applicants with criminal histories consistent with the requirements of the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Ordinance, and any other fair chance law. Philadelphia's Fair Criminal Record Screening Standards Ordinance Poster is at this link or upon request https://www.phila.gov/media/20210423160847/Fair-Chance-Hiring-law-poster.pdf. \nCompany Description About us An industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America. Industry leader We safely operate more than one third of all contracted school buses in North America. Together our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon. We operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces. Innovation We were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling. Passionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route. Awards & recognition We won the Occupational Excellence Achievement Award from the National Safety Council two years in a row. Dedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America. Teamwork and trust It takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners. We’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience. Our culture We live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve. Safety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives. Learning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future. Making a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day. Careers for all – We’re an Equal Opportunity Employer and an Employer of Choice. By consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference. About us\r\nAn industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America.\r\n\r\nIndustry leader\r\nWe safely operate more than one third of all contracted school buses in North America.\r\nTogether our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon.\r\nWe operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces.\r\n\r\nInnovation\r\nWe were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling.\r\nPassionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route.\r\n\r\nAwards & recognition\r\nWe won the Occupational Excellence Achievement Award from the National Safety Council two years in a row.\r\nDedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America.\r\n\r\nTeamwork and trust\r\nIt takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners.\r\n\r\nWe’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience.\r\n\r\nOur culture\r\nWe live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve.\r\n\r\nSafety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives.\r\nLearning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future.\r\nMaking a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day.\r\nCareers for all – We’re an Equal Opportunity Employer and an Employer of Choice.\r\nBy consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference.

Job Description Welcome to Allegiance Trucks, where our dedication to service fuels every mile. Since our founding in March 2019, we've been on an unstoppable path of growth, acquiring 17 dealership groups and expanding to over 40 locations across ten states. Our team is as dynamic as it is diverse, united by a shared commitment to prioritize our customers, uplift one another, and foster a workplace where everyone thrives. As a leading truck dealership group, we're proud to represent top-tier brands like International, Hino, Isuzu, and Ford, providing exceptional support to the Northeast's essential trucking community. At Allegiance Trucks, we're not just moving forward - we're driving the future of trucking. Why Allegiance Trucks? When joining our team, you will be working alongside the best in the business, helping us make Allegiance Trucks great! We are a veteran friendly organization that provides opportunities for additional training, career growth and advancement, as well as a comprehensive benefits package that includes: • Competitive starting pay, • Excellent health benefits including; Medical, Dental and Vision plans, a complimentary life insurance policy, and several other voluntary coverage options to choose from, • Generous Paid Time Off policy, including vacation, sick time and floating holidays, • 401(k) with Company match, • Support and encouragement for your continued advancement with additional training Allegiance Trucks is committed to equal opportunity for all employees and applicants. EXPERIENCED DIAGNOSTIC DIESEL TECHNICIAN — $45–$55/HOUR Build your career. Increase your earning potential. Work on some of the best equipment in the industry. Allegiance Trucks is growing, and we’re looking for skilled Diesel Technicians who want to build a long-term career with a company that invests in its people. Your growth matters to us – Allegiance Trucks has a dedicated in-house Technician Trainer and Training Facility designed to give our technicians hands-on development, technical training, and the tools they need to continuously improve their skills and earning potential. We’re growing — and that creates opportunity for our people. With more than 40 locations across 10 states, Allegiance Trucks provides opportunities to grow your career within a larger organization while still being part of a local service team. Your experience matters. Our $45-55/hour pay range reflects differences in technical experience, diagnostic ability, productivity and skill level. We are looking for an experienced Diagnostic Specialist with 3+ years of experience. $45-55/hour based on experience and skill level Work on International, Hino, Isuzu, Ford and other commercial vehicles Paid training and manufacturer certifications Tool Program + Red Wing boot voucher Opportunities to advance your career Comprehensive benefits + 401(k) company match Military experience? Your skills may transfer directly to this role. Your skills are valuable. We want to help you turn them into a career. Why Experienced Technicians Choose Allegiance Truck Centers. We know great technicians have choices. That’s why we invest in the tools, training, technology and benefits that help you build a better career: • Paid manufacturer and technical training, • Technician incentive/productivity program, • Opportunities to earn industry certifications, • Dedicated in-house Technician Trainer, • Access to our dedicated technician training facility, • Tool program, • Red Wing boot voucher, • Modern diagnostic equipment, • Opportunities for overtime, • Career advancement opportunities, • Health, dental and vision coverage, • Company-paid life insurance, • 401(k) with company match, • Generous PTO Plan, • Free Gym membership, • Veteran-friendly workplace We don’t expect you to stop learning when you become a technician. We invest in developing your diagnostic, electrical, engine, emissions and technical skills so you can continue growing throughout your career. What We Are Looking For: Diagnose complex mechanical, electrical and electronic systems using OEM and aftermarket diagnostic tools. Diagnose, repair and maintain diesel engines, transmissions, aftertreatment systems, electrical systems, brakes, driveline components, steering, suspension and other heavy-duty truck systems Ability to provide and maintain a personal set of standard hand tools; Allegiance’s Tool Program provides additional support for your tool needs. Strong Mechanical aptitude and willingness to continuously develop technical skills Technical school, diesel program, or equivalent hands-on experience preferred What You’ll Do No two days are exactly alike. You’ll diagnose and repair commercial trucks, troubleshoot electrical and mechanical issues, perform preventive maintenance, complete inspections and work alongside experienced technicians to get customers’ trucks safely back on the road. You’ll have the opportunity to work on everything from routine maintenance to complex engines, electrical, emissions and drivetrain repairs. We respect the trade. Being a great technician takes skill, experience and pride in your work. At Allegiance Trucks, we recognize the value our technicians bring to our customers and our business. We invest in training, equipment and career development because great technicians are the foundation of great service. DISCLAIMER: This is not necessarily an exhaustive list of responsibilities, skills, duties, requirements, efforts, or working conditions associated with this position. While this list is intended to be an accurate reflection of the current position, the company reserves the right to revise the functions and duties of the job to require that additional or different tasks be performed, or further education required with circumstance changes (such as growth, workload, changes in personnel, technological developments, etc.) As a proud Equal Opportunity Employer (EOE), we do not discriminate based on race, color, national origin, ancestry, citizenship status, religion, sex, sexual stereotyping, sexual orientation, gender, gender identity, gender expression, age, marital status, mental or physical disability, medical condition, genetic information, military or veteran status, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), or any other protected characteristic. Employment may be contingent upon Allegiance’s receipt of an acceptable and job-related drug test, motor vehicle report, and/or reference check, as applicable and permissible by law. #ATTECHR3 As a proud Equal Opportunity Employer (EOE), we do not discriminate based on race, color, national origin, ancestry, citizenship status, religion, sex, sexual stereotyping, sexual orientation, gender, gender identity, gender expression, age, marital status, mental or physical disability, medical condition, genetic information, military or veteran status, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), or any other protected characteristic. Employment may be contingent upon Allegiance’s receipt of an acceptable and job-related drug test, motor vehicle report, and/or reference check, as applicable and permissible by law.

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 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).

Position Summary \n The Director of Research & Intelligence leads the firm's research, intelligence and premium content services across all US offices. The Director understands the firm's practices, anticipates their information needs, and translates those needs into research, intelligence, monitoring and technology solutions. The Director leads a team of research and intelligence professionals, delivers business and competitive intelligence, and is accountable for the research portfolio, its vendors and its value. Serving on the Innovation leadership team, the Director partners with practice group leaders, Client Development and Legal Technology to bring research expertise to the firm's AI strategy. \n \n \n Key Responsibilities: \n Practice engagement and research strategy \n\n • Builds a deep understanding of each practice group's work, clients and priorities, and anticipates its research and information needs.\n, • Meets regularly with practice group leaders to discuss current work, emerging research needs, gaps in current resources, opportunities for automation or current awareness, and overlap among tools.\n, • Translates practice needs into research, intelligence, monitoring and technology solutions, combining people, content, technology and external resources.\n, • Develops strategic plans and policies for research and intelligence that advance practice, departmental and firm goals.\n\n \n Research and intelligence services \n\n • Leads the delivery of high-quality legal, business, regulatory and public records research to lawyers and business professionals.\n, • Leads business and competitive intelligence services, including client, industry, market, litigation and regulatory, and competitor intelligence, in partnership with Client Development where appropriate.\n, • Develops current awareness and monitoring services, such as alerts, docket and regulatory tracking, and market monitoring, tailored to practice needs.\n, • Maintains expert knowledge of research resources, techniques and best practices, and performs complex research as needed.\n\n \n Premium content and AI research tools \n\n • Owns, or holds substantial responsibility for, evaluating research content and products, including AI research tools, with testing for accuracy and value against existing resources.\n, • Manages licensing, content-use rights and entitlements for premium content.\n, • Reviews license terms before licensed content is connected to any firm AI tool.\n, • Partners with Innovation and IT, which own platform and technical decisions, to deliver appropriate and secure access to premium content.\n, • Establishes access rules by role and practice, supports single sign-on where available, and maintains a responsive process for access requests.\n\n \n Resource optimization and value \n\n • Develops, manages and forecasts the research and information budget, covering all research, data and news subscriptions across the US firm.\n, • Analyzes usage and cost to optimize the research portfolio and demonstrate its value, recommending whether to renew, renegotiate, downsize, retire or expand access to each resource.\n, • Shares cost and usage data with practice group leaders as part of regular engagement, and leads an annual subscription review with each, documenting the outcome.\n, • Attributes practice-specific subscriptions to the relevant practice group budgets in partnership with Finance, while managing firmwide platforms centrally.\n, • Reassigns idle seats, eliminates duplication, and supports client and matter cost recovery where engagement terms allow.\n\n \n Vendor management \n\n • Serves as the firm's primary contact for research and information vendors and negotiates contracts, renewals and pricing.\n, • Maintains a contract calendar of renewal dates, notice periods, price terms and license conditions.\n, • Holds regular business reviews with key vendors on usage, service, pricing and product roadmaps.\n, • Maintains current knowledge of product changes, especially AI features, and briefs Innovation, practice leaders and users on changes that affect workflow, cost or permitted use.\n, • Negotiates terms for AI-enabled products that protect client confidentiality and firm data, address data retention and model training, and define permitted use of licensed content.\n, • Monitors license compliance, including seat limits and authorized users.\n\n \n \n Research resource directory \n\n • Builds and maintains the firm's authoritative directory of research and intelligence resources, showing what each resource is and does, who has access, how to obtain access, available training and any restrictions on use with AI tools.\n, • Keeps the directory current as subscriptions, access or terms change, and uses site analytics to identify gaps.\n\n \n \n Training and adoption \n\n • Designs and delivers training on research platforms, including effective prompting and verification of AI output.\n, • Tracks adoption of research tools and reports results to the Senior Director of Innovation.\n, • Participates in onboarding of new lawyers and staff.\n, • Promotes effective, independent use of research resources by lawyers.\n\n \n Team leadership and development \n\n • Supervises, coaches and develops the research and intelligence team, continuing its move from a traditional library model toward a consultative Research Advisor model.\n, • Builds staff capability in practice consultation, competitive intelligence, monitoring, automation and AI-enabled research.\n, • Sets and reports on departmental metrics, including practice engagement, intelligence products delivered, request volume and turnaround, tool adoption, user satisfaction, spend against budget and the value of renewal decisions.\n, • Works with the Eversheds Sutherland (International) research and knowledge leads to share resources, coordinate global agreements and standardize practices where useful.\n, • Participates in firmwide initiatives that support the firm's strategic goals.\n\n \n Leadership standards of performance \n\n • Interacts with personnel at all levels in a tactful, cooperative and professional manner.\n, • Acts with honesty, integrity, courtesy and respect, and represents the firm well in all interactions.\n, • Maintains strict confidentiality of client and firm information.\n, • Delivers outstanding service to internal and external clients.\n, • Embraces diversity and inclusion in all aspects of the role.\n, • Champions change and the firm's initiatives, and adapts readily when priorities shift.\n, • Is fiscally responsible and communicates concisely and effectively with senior management.\n, • Takes initiative, works effectively under pressure, and continually seeks improvement.\n, • Performs responsibilities in accordance with all firm standards, policies and procedures.\n\n \n \n Knowledge, Skills and Abilities \n Education \n\n • Master's degree in Library and Information Science, Information Management or a related field preferred, with law firm experience.\n\n \n \n Experience \n\n • Ten or more years of experience in law firm research or library services, preferably in a multi-office national or global firm, including at least five years in a management role.\n, • Demonstrated success partnering with practice groups or business leaders to anticipate information needs and design research, intelligence or monitoring solutions.\n, • Experience leading business or competitive intelligence work in a law firm or professional services environment.\n, • Demonstrated management of a research or information budget, including usage and spend analysis, forecasting and resource optimization.\n, • Significant experience negotiating and managing contracts with major research vendors.\n, • Hands-on experience evaluating or deploying AI-enabled research tools such as Lexis+ with Protégé, CoCounsel, Vincent AI, Harvey or similar.\n, • Experience developing staff and leading a team through a change in its service model.\n\n \n Skills \n\n • Deep understanding of the business and practice of law, and the ability to consult with lawyers on their research and information needs.\n, • Expert knowledge of legal, business, news and public records research services, and of competitive intelligence sources and methods.\n, • Working knowledge of content licensing, including terms affecting use of licensed content with AI tools.\n, • Strong analytical skills, including use of usage analytics platforms (such as ResearchMonitor or Onelog) and data visualization tools.\n, • Ability to communicate research value, cost and usage clearly to practice group leaders and firm leadership.\n, • Change management and training skills, with experience presenting to lawyers.\n, • Excellent interpersonal, written and oral communication skills.\n\n \n \n This is a hybrid role and will require 3 days in office per week. The salary ranges for this position vary depending on the geographic location and other factors such as experience, internal equity, market data, and job-related considerations. The range for this position is from $175,00 - $250,000, with offers contingent upon the various factors. The firm’s compensation strategy includes not just a base salary but also comprehensive benefits such as healthcare, paid time off, discretionary merit bonuses, life and disability insurance, retirement plans and tailored learning opportunities. \n \n \n \n Eversheds Sutherland (US) LLP is committed to promoting diversity and inclusion within our Firm and in the larger legal profession. We believe that diverse skills, knowledge and viewpoints make us a stronger firm. Eversheds Sutherland (US) LLP maintains a policy of affording all employees and applicants equal employment opportunities without regard to actual or perceived race, color, religion, sex (including pregnancy, childbirth, lactation and related medical conditions), sexual orientation, gender (including gender identity or expression or transgender status), national origin, age, disability, genetic information, marital or familial status, domestic violence victim status, ancestry, amnesty, citizenship status, ethnicity, military and veteran status, or any other characteristic protected by applicable law. Unlawful discrimination, harassment and retaliation will not be tolerated in any of the Firm’s offices or any other work-related setting. Qualified individuals with a disability may request a reasonable accommodation in order to apply for a position or to enable them to perform the essential functions of a position for which they are otherwise qualified. EEO

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).

\n Founding Research Engineer \n Location: New York City — In Person \n Compensation: $150,000–$250,000 Base Salary + Equity \n Company Overview \n We are an early-stage quantitative investment firm building an AI-powered research system that transforms investment ideas into reliable implementations and actionable evidence—while learning from every experiment. \n Our New York-based team consists of researchers and engineers who are curious about how markets work, quick to test new ideas, and willing to challenge their own assumptions. We are building the next generation of systematic investment technology and are looking for an exceptional engineer to join our founding team. \n The Role \n You will build the quantitative research platform powering our AI-driven investment research system. The system implements and tests investment signals, while you will develop and own the infrastructure it depends on—including the backtesting engine, financial-data pipelines, evaluation tools, and the pathway from research to live trading. \n You will work directly with quantitative researchers and engineers to determine what the platform should do and deliver working systems without waiting for perfect specifications. \n Because the platform runs experiments continuously, the backtesting system must serve as a trusted referee: fast, accurate, reproducible, and extremely difficult to fool. \n As an early member of the team, you will have a meaningful impact on the company’s technology, product strategy, engineering standards, and culture. \n What You’ll Do \n\n • Partner with researchers and engineers to build the platform that transforms investment ideas into testable signals, including signal frameworks, reusable feature and model components, and experiment-tracking systems.\n, • Build and own the backtesting engine and research APIs used by researchers, engineers, and AI agents.\n, • Develop walk-forward simulations, realistic fill and transaction-cost models, portfolio-construction capabilities, and precisely reproducible results.\n, • Build and operate data pipelines for large financial datasets.\n, • Ingest and validate complex vendor feeds while maintaining accurate point-in-time data.\n, • Properly account for corporate actions, delistings, and security identifiers across U.S. equities.\n, • Make datasets easy to discover, understand, and use correctly.\n, • Develop evaluation tools that determine whether an investment idea is statistically and economically valid.\n, • Build signal diagnostics, risk-attribution tools, statistical tests, and automated controls that detect look-ahead bias, data leakage, and errors in AI-generated code.\n, • Deploy research strategies and systems into production and take ownership of monitoring and ongoing performance.\n, • Reconcile live trading results against backtested expectations in an environment where errors can have meaningful financial consequences.\n, • Profile and optimize computationally intensive numerical workloads so the research cycle takes minutes rather than hours.\n\n What We’re Looking For \n\n • At least 5 years of experience building quantitative research or trading systems at a quantitative fund, proprietary trading firm, systematic investment team, or a comparable environment.\n, • Expert-level Python skills and deep familiarity with numerical and data-processing libraries such as NumPy, pandas, Polars, and SciPy.\n, • Strong software-engineering fundamentals, including testing, debugging, profiling, and building maintainable systems that others can extend.\n, • Experience developing pipelines for large financial datasets, preferably involving U.S. equities, vendor feeds, point-in-time fundamentals, corporate actions, and security symbology.\n, • Hands-on experience building or maintaining a backtesting platform.\n, • Strong understanding of the systematic investment lifecycle, including signal generation, risk modeling, portfolio construction, execution, and transaction costs.\n, • A solid foundation in statistics and a practical understanding of machine learning.\n, • Experience partnering directly with quantitative researchers and engineers to build reliable research tools.\n, • The ability to clarify loosely defined requests and transform them into systems that researchers can trust.\n, • A bias toward action and the ability to deliver and iterate in an ambiguous, fast-moving environment.\n, • Low ego, high standards, intellectual curiosity, and a strong sense of ownership.\n\n Compensation and Benefits \n\n • Base salary of $150,000–$250,000\n, • Meaningful equity participation\n, • Company-subsidized medical, dental, and vision insurance\n, • HSA, FSA, dependent-care FSA, and 401(k) plans\n, • Wellness, commuter, and professional-development subsidies\n\n The Opportunity \n This is an opportunity to join a well-funded, early-stage quantitative investment firm whose founding team brings deep experience across machine learning, quantitative finance, investment management, and hedge-fund technology. \n You will help build the core research and trading infrastructure behind an AI-native systematic investment platform—and directly influence how the firm develops from its earliest stage.

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).

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).

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 DescriptionNow Hiring ABA Behavior Technicians/RBTs – Daytime & Afternoon Shifts! Location: Hudson County, NJ Position: ABA Behavior Technician/RBT Compensation: $20–30/hr (based on experience) Type: Part-Time (15–20 hrs/week) Shifts: Daytime/ Afternoon/ Evening (3-4 hrs/day, vary by client) Daytime Schedules: Union City, NJ: M- F: 8AM- 2:30PM Afternoon Schedules: Union City, NJ: M- F: 4:30- 7:30PM North Bergen, NJ: M- F: 3:30- 7:30PM West New York, NJ: Sat- Sun: 9AM- 1PM About Compass ABA: As an ABA Behavior Technician/RBT, you’ll deliver individualized ABA therapy to children with autism. Help build communication, play, social, and daily living skills. Work in homes or community settings. Responsibilities as an ABA Behavior Technician/RBT: Adventure Guide: Provide one-on-one ABA therapy under BCBA supervision. Behavior Navigator & Skill Scout: Build skills, manage behaviors, foster independence. Team Explorer: Collaborate with families and staff on treatment plans. Compass of Compassion: Offer encouragement and care during sessions. Calm Captain: Create a safe, structured learning environment. Progress Compass: Collect and record data to guide treatment. Learning Navigator: Participate in supervision and growth as an ABA Behavior Technician/RBT. Requirements: High School Diploma (college preferred). Authorized to work in the United States and able to successfully complete all onboarding requirements. Meet physical requirements: active movement, standing, and play-based activities. Experience with children/autism preferred. Reliable transportation, strong communication, and technology comfort. Why Join Compass ABA: Supervision hours toward RBT/BCBA certification. Virtual orientation and flexible schedules. Same-day pay, paid holidays (1.5× pay for eligible holidays worked), and accrued paid sick time. Referral bonuses and tuition discounts. Growth opportunities and pay increases with tenure. Collaborative team focused on the success of our ABA Behavior Technicians/RBTs, clients, and families. Apply Today: Apply today for the ABA Behavior Technician/RBT role and expect a response within 1–2 business days. If selected, schedule a Google Meet interview with our Talent Team. Possible offer within 24–48 hours. By applying, you agree to receive communications from Compass ABA. Compass ABA is an equal opportunity employer and values diversity, inclusion, and equity. IND123

Job DescriptionNow Hiring ABA Behavior Technicians/RBTs – Afternoon Shifts! Location: Bergen County, NJ Position: ABA Behavior Technician/RBT Compensation: $20–30/hr (based on experience) Type: Part-Time (15–20 hrs/week) Shifts: Afternoons/ Evenings (3–4 hrs/day, vary by client) Afternoon Schedules: Wood-Ridge, NJ: M- F: 3:30- 6:30PM Lyndhurst, NJ: M- F: 4/5- 7/8 PM Garfield, NJ: M- Th: 4- 7PM Ridgefield, NJ: Mon, Wed, Thurs, Fri: 3/3:30- 5/5:30PM & Sat 10AM- 1PM About Compass ABA: As an ABA Behavior Technician/RBT, you’ll deliver individualized ABA therapy to children with autism. Help build communication, play, social, and daily living skills. Work in homes or community settings. Responsibilities as an ABA Behavior Technician/RBT: Adventure Guide: Provide one-on-one ABA therapy under BCBA supervision. Behavior Navigator & Skill Scout: Build skills, manage behaviors, foster independence. Team Explorer: Collaborate with families and staff on treatment plans. Compass of Compassion: Offer encouragement and care during sessions. Calm Captain: Create a safe, structured learning environment. Progress Compass: Collect and record data to guide treatment. Learning Navigator: Participate in supervision and growth as an ABA Behavior Technician/RBT. Requirements: High School Diploma (college preferred). Authorized to work in the United States and able to successfully complete all onboarding requirements. Fluent in both English and Spanish, with the ability to communicate effectively with clients, families, and team members in both languages. Meet physical requirements: active movement, standing, and play-based activities. Experience with children/autism preferred. Reliable transportation, strong communication, and technology comfort. Why Join Compass ABA: Supervision hours toward RBT/BCBA certification. Virtual orientation and flexible schedules. Same-day pay, paid holidays (1.5× pay for eligible holidays worked), and accrued paid sick time. Referral bonuses and tuition discounts. Growth opportunities and pay increases with tenure. Collaborative team focused on the success of our ABA Behavior Technicians/RBTs, clients, and families. Apply Today: Apply today for the ABA Behavior Technician/RBT role and expect a response within 1–2 business days. If selected, schedule a Google Meet interview with our Talent Team. Possible offer within 24–48 hours. By applying, you agree to receive communications from Compass ABA. Compass ABA is an equal opportunity employer and values diversity, inclusion, and equity. IND123

Job Description The Children and Youth Specialist is responsible for the following tasks: • Learn and integrate a trauma-informed, client-centered approach, using an anti-oppressive lens, into your work with clients. Coach and guide staff in their client practice that reflects these approaches., • Plan and coordinate age-appropriate internal and external activities for residents and their children, • Facilitate family, children and youth groups and workshops, • Conduct orientation with newly admitted parents and children, • Complete all developmental, educational, and identified assessments such as Survey of Well-Being of Young Children and AFC Educational Assessment • Provide psychoeducation to parents through individual and group sessions., • Create a trauma-informed safe space for children to help with dysregulation, promote emotional safety, play, curiosity, and cultural inclusivity • Assist with covering shifts and all duties related to that shift, • Serve as a Department of Education liaison and manage all DOE related processes and tasks, • Manage donations (sorting, distribution) and completing requests from donors, • Coordinate family services such as daycare, specialized therapy referrals, assessments, • Supervising children and youth while parents are receiving services or making appointments, • Care for infant, toddlers, and school age children, which includes feeding, changing diapers, and developmentally appropriate engagement • Observe children's developmental milestones and trauma reactions and consult with SSW and parents, • Document interactions and incidents (case notes, incident reports), • Adhere to mandated reporter expectations, • Attend staff meetings and trainings, • Inventory and assess childcare space supply needs (i.e. activities, crib supplies, diapers, snacks etc.), • Coordinate with external partners for resources and assist with coordinating community opportunities (summer camp, summer school, summer youth program) • Assist with children and youth concrete educational needs such as homework and school projects, • Other tasks as assigned If hired, I agree to abide by all of Safe Horizon’s rules and regulations, and understand that, if employed, my employment may be terminated with or without cause, and with or without notice, at any time, at the option of either the company or me. I further understand that no representation, whether oral or written by any representative or agent of the organization, at any time, constitutes a contract of employment. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. Technology Statement: Applicants may be responsible for providing the equipment and tools they need to work remotely as required, such as access to a computer, internet service, and phone service. Safe Horizon will discuss potential solutions with candidates and may assist where needed and agreed to in advance. Please follow this link to view complete EEO Law and complaint filing information: Know Your Rights: Workplace discrimination is illegal Salary Pay Range: 22.81 - 23.96 Hourly Full-time Hours: 35 Hours per week (Overnight) Full-time Benefits: Vacation Time, Paid Sick Time, Holidays, Medical, Dental, Vision, 403(b) Retirement Plan, Company Life Insurance, Medical/Dependent Care Flexible Spending Accounts, Tuition Assistance Program, Commuter Benefits Program, Gym Reimbursement, Parental Leave, Employee Learning Center

Job Description CHILDREN'S SPECIALIZED ABA - Autism Center of Excellence Lead the Team. Empower Every Child. Love What You Do. Now Hiring: Lead Registered Behavior Technician (RBT) About Children's Specialized ABA Children's Specialized ABA is part of the Children's Specialized Hospital Autism Center of Excellence. We serve children with ASD by combining clinical innovation, whole-child care, and personalized therapy. We envision a future where every child diagnosed with autism has access to innovative and compassionate whole-child autism care, guided by a dedicated child autism specialist, empowering them to thrive and reach their full potential. • Inclusivity: We celebrate the diversity within the Autism spectrum and are committed to creating an inclusive environment that respects and values each person’s individual strengths and differences. Our services are designed to be accessible and welcoming to people of all backgrounds, regardless of race, ethnicity, gender, religion, or socioeconomic status., • Innovation: We foster a culture of creativity and collaboration, exploring new ideas to develop personalized solutions that enhance quality of life for all children with Autism. By leveraging the latest research and technology, we remain at the forefront of ABA therapy, transforming challenges into opportunities for a brighter future., • Connection: We actively engage with health systems and the broader community to coordinate services and care for people with Autism. We advocate for inclusivity, understanding, and support in all aspects of their lives to ensure that no child or family ever feels alone., • Quality & Safety: Our commitment to excellence is reflected in our use of evidence-based practices. We continuously invest in research and stay informed of newly published, peer-reviewed methods of treatment in the field. This dedication allows us to provide cutting-edge, effective, safe, and personalized services tailored to the unique needs of those we serve. The Opportunity Ready to take the next step in your ABA career? As a Lead RBT, you're the glue that holds a classroom together — and the go-to person newer BTs/RBTs look up to. You'll support the structure, consistency, and quality of care across your assigned classrooms while stepping into real leadership: mentoring teammates, sharpening classroom systems, and partnering closely with BCBAs to move kids toward their goals. This is a role built for someone ready to lead by example, not just by title. What You'll Do Clinical Leadership & Direct Care • Provide hands-on ABA therapy one-on-one or in group sessions, bringing energy and consistency to every child you work with., • Bring BCBA-designed goals to life — reinforcement, teaching, and behavior-reduction procedures, discrete trial teaching, and more., • Use your judgment (within BCBA-approved frameworks) to adapt strategies in the moment while partnering with BCBAs on treatment integrity., • Conduct and help interpret stimulus preference assessments, and collaborate with BCBAs on client goals, skill assessments, and checklists., • Keep documentation sharp — accurate data collection, session notes, and program books, with sessions converted in Central Reach within 24 hours., • Design creative teaching and therapeutic materials that make learning click Program & Classroom Leadership • Own classroom organization, weekly schedules, and craft/activity programming that keeps every day running smoothly., • Forecast and manage supplies and inventory so the team always has what they need., • Design and send out monthly newsletters that keep families and staff in the loop., • Champion employee engagement — shout-out boards, gift cards, pizza parties, and other ways to celebrate the team. Team Leadership & Mentorship • Be the first friendly face and go-to resource for new BTs/RBTs — especially on Central Reach and day-to-day workflows., • Train, coach, and give real-time, constructive feedback to teammates., • Step in to provide clinic-level coverage when the team needs it most, working confidently with kids across all levels of the spectrum., • Hit and hold your competency benchmarks, modeling the standard you expect from others. Family Partnership & Professionalism • Talk through daily progress with parents and caregivers with warmth and clarity., • Protect client well-being, dignity, and confidentiality in every interaction., • Show up prepared, on time, and ready — and keep growing through continuing education., • Comply with all BACB and company policies, procedures, and ethical guidelines. What You'll Need • High school diploma, • Active, unexpired RBT Certification — required, and must be maintained throughout your tenure, • Minimum of 6 months of experience as an RBT in a center-based service setting, • BCBA student status strongly preferred, • A detail-oriented approach to reports and session notes, • Excellent verbal and written communication skills, • Comfort learning new systems like Central Reach, • Internal candidates: must meet 80% on competencies and be in good standing Work Location & Hours This is a full-time position on-site in our Clifton Center. The core hours for this position are 8:45pm-5:15pm. Why You'll Love Working Here We're an amazing ABA provider that takes a whole-child, whole-caregiver approach — combining ABA therapy with speech, occupational therapy, and behavioral health support. You'll join a deeply collaborative, mission-driven team where leadership is noticed and rewarded. • Up to 19 paid days off in your first year (PTO, sick time, and holidays) — accrual increases with tenure, • Comprehensive benefits: medical, voluntary dental, vision, short-term disability, critical illness coverage, and more, • Free $50,000 life insurance policy, • Free Employee Assistance Program (EAP), • 401(k) retirement savings plan, • Company discount program — amusement parks, memberships, cruises, movie tickets, spas, sports tickets, and more Compensation The expected salary range for this role is $52,000.00–$55,000.00 per year. Final compensation will be based on a range of factors, such as your skills, education, experience, certifications, market conditions, and internal equity. All offers are made in alignment with applicable federal and state laws. Children's Specialized ABA provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Description Summary Streetwork Project is an innovative outreach-counseling program for homeless youth in Harlem, which utilizes a harm reduction approach providing comprehensive services to adolescents and young adults impacted by homelessness and involved in street activities (gangs, violence, drug use/sale and survival sex). The Youth Services Navigator will promote access to harm reduction supplies and services at Streetwork’s Drop-In Center, with a focus on LGBTQ youth and youth of color at risk of SUDs Youth Services Navigators (YSN) will facilitate and conduct one-on-one harm reduction goal setting intervention for drug using clients. Youth Services Navigators will provide overdose prevention and response trainings for drug users. The YSN will provide youth seeking harm reduction services with information, counseling and supplies (safer syringe services, sniff kits, safer sex supplies, Naloxone kits and sharps disposal kits), The Youth Services Navigators will also be needed to provide general program services such client monitoring in the milieu, intake and assessment, supportive counseling, referrals, syringe exchange, escorts and the provision of concrete services (meal preparation client, laundry, provision of supplies), and groups. Responsibilities: • Learn and integrate a trauma-informed, client-centered approach, using an anti-oppressive lens, into your work with clients., • Engagement of adolescents into program structure (harm reduction philosophy, rules, mutual respect), • Milieu counseling; Mediation for internal conflicts, • Facilitate access to daily living needs (food, clothes, hygiene supplies, space to rest), • Conduct intake and assessment and screen for substance use risk, • Facilitate and conduct educational presentations on drug user health and well-being issues and engage clients in practicing harm reduction techniques to reduce risk., • Co-facilitate trainings / educational presentations to staff around emerging trends amongst target population, • Provide syringe exchange, opioid overdose reversal medication and overdose prevention education and distribution of materials related to drug use in promotion of health and well-being, • Convene and facilitate a quarterly peer advisory group, • Oversee and manage social media post and messaging around available harm reduction services, • Conduct audits of the Streetwork Drop-In Centers to identify opportunities to increase harm reduction accessibility through signage, posters, and a welcoming display of harm reduction supplies., • Connect clients to supportive resources with both internal and external partners to increase client’s access to benefits and resources; provide accompaniment as necessary and requested by clients, • Participate in weekly case conferencing meetings, • Maintain routine administrative responsibilities to include the preparation of correspondence, maintaining files, mail, email, and telephone., • Participation in staff trainings, staff meetings, and staff group process workshops, • Participate in weekly supervision Secondary Job Functions: • Identification of new resources appropriate for population, • Provide wellness and recreational (engagement) activities, • Provide support in organizing events in the Drop-In Center, monitor entrance to the program, oversee concrete support to clients., • Support Peer Street Outreach at Both the LES and Uptown Site Interacts with: • All Streetwork program sites and staff, • All internal Safe Horizon programs and departments that can comprehensively support the client and case plan, • All external agencies and organizations that can provide appropriate services to the client Knowledge and Skills: Required: • Compassionate approach to others and openness to new ideas, • Dynamic energy, able to multi-task and negotiate multiple demands on attention, • Non-judgmental approach and ability to empathize with others, • Clear and concise verbal and written communication skill, excellent interpersonal and organization skills, • Genuine interest in working with disenfranchised youth and young adults, • Understanding of and ability to work from harm reduction perspective addressing substance use, mental health issues and HIV risk behaviors, • One (1) year experience working with homeless population, youth, or harm reduction, and lived experience similar to target population, • Demonstrated ability to work independently Qualifications • High school diploma or equivalency plus relevant training and experience in human services or related field, including some prior experience working with victims of crime OR, • Two years of high-quality work at a Streetwork Project site Required: Personal experience with street survival activities (homelessness, gangs, drug economy, substance use, sex industry) with at least three years separation from involvement in these activities as well as a deep understanding of the relationship between personal experiences and professional standards. Other: Basic understanding of computer and systems for managing case records Physical demands: This position has certain physical demand requirements, which include, but may not be limited to, remaining in a stationary position for long hours, lifting up to 25 lbs, and climbing up stairs. Tasks may involve exposure to blood, bodily fluid, or tissues. If hired, I agree to abide by all of Safe Horizon’s rules and regulations, and understand that, if employed, my employment may be terminated with or without cause, and with or without notice, at any time, at the option of either the company or me. I further understand that no representation, whether oral or written by any representative or agent of the organization, at any time, constitutes a contract of employment. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. Technology Statement: Applicants may be responsible for providing the equipment and tools they need to work remotely as required, such as access to a computer, internet service, and phone service. Safe Horizon will discuss potential solutions with candidates and may assist where needed and agreed to in advance. Please follow this link to view complete EEO Law and complaint filing information: Know Your Rights: Workplace discrimination is illegal Hiring Range: $23.63 to $26.10 per hour Full-time Hours: 35 Hours per week Full-time Benefits: Vacation Time, Paid Sick Time, Holidays, Medical, Dental, Vision, 403(b) Retirement Plan, Company Life Insurance, Medical/Dependent Care Flexible Spending Accounts, Tuition Assistance Program, Commuter Benefits Program, Gym Reimbursement, Parental Leave, Employee Learning Center Safe Horizon was named one of City & State New York Top Workplaces of 2025 and 2026

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).

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

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

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).

\n Cross Country Education is seeking a local contract School Speech Language Pathologist for a local contract job in Newark, New Jersey. Job Description & Requirements\n \n • Specialty: Speech Language Pathologist\n, • Discipline: Therapy\n, • Duration: 41 weeks\n, • 40 hours per week\n, • Shift: 8 hours\n, • Employment Type: Local Contract\n \n Are you a passionate and fully credentialed Speech-Language Pathologist or a recent graduate eager to complete your Clinical Fellowship? Cross Country Education is searching for Speech Language Pathologists in Newark, NJ! School based opportunities are current available with students in grades PK-12. \n What we are looking for \n Master's Degree in Speech-Language Pathology from an accredited program \n Current Licensure as a Speech Language Pathologist \n ASHA Certificate of Clinical Competence (CC) or Clinical Fellowship (CF) \n Experience as a Speech Language Pathologist is appreciated \n What we provide \n Competitive pay: $47.95 - $79.92 Per Hour reflecting your expertise. \n Excellent Benefits: Including medical, dental, vision, and 401(k) for employees working over 30 hours a week. Benefits begin within 30 days of your first day of employment. \n Supportive environment: We are dedicated to your success! Our schools have committed administrators that will support you in your transition to a new school. A set schedule that allows for a work/life balance! Cross Country Education includes reimbursement for Continuing Education Credits \n Traveler Friendly: We welcome travelers to join our team. When you work with Cross Country Education, you'll get perks like stipends for technology, teaching materials, meals, and housing. You'll also receive reimbursement for licensing and credentialing as well as professional development, training, and coaching! \n Ready to Join Us? \n Company Website: \n Cross Country Education provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Direct-Ed-IND2 \n Cross Country Education Job ID #a2m98f7xdumn. Posted job title: Speech Language Pathologist (SLP) About Cross Country Education\n \n Cross Country Education is educator-led, student-driven and solutions-oriented. With over 50 years of combined dedicated expertise, we service the education industry exclusively. Focusing our knowledge and resources on engaging with and understanding educational organizations, industry trends, and leadership needs, we provide a wide range of services to our educational partners to meet their individual needs including special education and substitute services. Each service can individually supplement an educational need or work in synergy with our other offerings to provide a holistic solution. \n We guide and nurture our educational providers throughout their careers by partnering with them and providing access to coaching, resources, and development. To us, our role is more than providing jobs. By sharing knowledge, learning and resources with our professionals, we can develop a deep and collective strategy for helping them achieve a fulfilling career. \n \n

\n Cross Country Education is seeking a local contract School Speech Language Pathologist for a local contract job in Jersey City, New Jersey. Job Description & Requirements\n \n • Specialty: Speech Language Pathologist\n, • Discipline: Therapy\n, • Duration: 41 weeks\n, • 40 hours per week\n, • Shift: 8 hours\n, • Employment Type: Local Contract\n \n Are you a passionate and fully credentialed Speech-Language Pathologist or a recent graduate eager to complete your Clinical Fellowship? Cross Country Education is searching for Speech Language Pathologists in Jersey City, NJ! School based opportunities are current available with students in grades PK-12. \n What we are looking for \n Master's Degree in Speech-Language Pathology from an accredited program \n Current Licensure as a Speech Language Pathologist \n ASHA Certificate of Clinical Competence (CC) or Clinical Fellowship (CF) \n Experience as a Speech Language Pathologist is appreciated \n What we provide \n Competitive pay: $45.39 - $75.65 Per Hour reflecting your expertise. \n Excellent Benefits: Including medical, dental, vision, and 401(k) for employees working over 30 hours a week. Benefits begin within 30 days of your first day of employment. \n Supportive environment: We are dedicated to your success! Our schools have committed administrators that will support you in your transition to a new school. A set schedule that allows for a work/life balance! Cross Country Education includes reimbursement for Continuing Education Credits \n Traveler Friendly: We welcome travelers to join our team. When you work with Cross Country Education, you'll get perks like stipends for technology, teaching materials, meals, and housing. You'll also receive reimbursement for licensing and credentialing as well as professional development, training, and coaching! \n Ready to Join Us? \n Company Website: \n Cross Country Education provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Direct-Ed-IND2 \n Cross Country Education Job ID #a2m98f7g2eew. Posted job title: Speech Language Pathologist (SLP) About Cross Country Education\n \n Cross Country Education is educator-led, student-driven and solutions-oriented. With over 50 years of combined dedicated expertise, we service the education industry exclusively. Focusing our knowledge and resources on engaging with and understanding educational organizations, industry trends, and leadership needs, we provide a wide range of services to our educational partners to meet their individual needs including special education and substitute services. Each service can individually supplement an educational need or work in synergy with our other offerings to provide a holistic solution. \n We guide and nurture our educational providers throughout their careers by partnering with them and providing access to coaching, resources, and development. To us, our role is more than providing jobs. By sharing knowledge, learning and resources with our professionals, we can develop a deep and collective strategy for helping them achieve a fulfilling career. \n \n

\n Cross Country Education is seeking a local contract School Psychologist (Certified) for a local contract job in New York City, New York. Job Description & Requirements\n \n • Specialty: School Psychologist (Certified)\n, • Discipline: Therapy\n, • Duration: 41 weeks\n, • 40 hours per week\n, • Shift: 8 hours\n, • Employment Type: Local Contract\n \n At Cross Country Education, we are dedicated to making education accessible and enriching for every student. We are looking for School Psychologists to join our team in New York City, NY and help us continue to make a difference. Cross Country Education is open to new graduates who have received their Licensure and are looking to find a position that offers growth and support. \n What we are looking for: \n Master's degree in psychology or related field \n State certification/Licensure in School Psychology \n Experience as a School Psychologist is appreciated \n What we Offer: \n Competitive pay: $39.96 - $66.60 Per hour reflecting your expertise. \n Traveler Friendly: Looking to change your location? Maybe experience new sights and a change of pace? Cross Country Education values our Travel Teachers with perks like stipends for technology, teaching materials, meals, and housing. \n Excellent Benefits: Medical, dental, vision, and 401 (k) for employees working over 30 hours a week. Cross Country Education includes reimbursement for Continuing Education Credits \n Referral Program: Do you have a friend or colleague who may enjoy the same fun adventures you've experienced? Refer a friend and earn up to $2,000 for every person that signs on! \n About us: \n Cross Country Education partners with K-12 schools and districts nationally to provide a wide array of staffing services and consultative solutions. We are dedicated to helping School Psychologists like you find a variety of rewarding per diem, contract, permanent, and travel jobs that offer both competitive pay and comprehensive health and wellness benefits. \n Company Website: www.crosscountry.com/education \n Cross Country Education provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Direct-Ed-IND2 \n Cross Country Education Job ID #a2m98f7zosfq. Posted job title: School Psychologist About Cross Country Education\n \n Cross Country Education is educator-led, student-driven and solutions-oriented. With over 50 years of combined dedicated expertise, we service the education industry exclusively. Focusing our knowledge and resources on engaging with and understanding educational organizations, industry trends, and leadership needs, we provide a wide range of services to our educational partners to meet their individual needs including special education and substitute services. Each service can individually supplement an educational need or work in synergy with our other offerings to provide a holistic solution. \n We guide and nurture our educational providers throughout their careers by partnering with them and providing access to coaching, resources, and development. To us, our role is more than providing jobs. By sharing knowledge, learning and resources with our professionals, we can develop a deep and collective strategy for helping them achieve a fulfilling career. \n \n

\n Soliant Health is seeking a travel CT Technologist for a travel job in Newark, New Jersey. Job Description & Requirements\n \n • Specialty: CT 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 CT Tech experience required. Applicants who do not meet these qualifications will not be considered. \n Experience the vibrant energy of Newark, NJ—a bustling urban hub famed for its dynamic arts scene, cultural diversity, and proximity to world-class dining and entertainment. As a traveler here, you'll immerse yourself in an exciting metropolitan environment while gaining career-shaping exposure in a renowned healthcare setting. \n Take your CT technologist skills to new heights by working alongside dedicated professionals and adapting to varied leadership styles and advanced workplace protocols. This short-term engagement is ideal for expanding your clinical toolkit, enhancing your résumé with cutting-edge experience on Siemens Go Top equipment, and learning from a wide spectrum of cases and seasoned practitioners. \n With a compact 13-week assignment, you'll have plenty of opportunities to explore the city and nearby attractions during your downtime—perfect for blending career growth with meaningful adventures. \n Assignment Details \n \n • Schedule: 4x10’s, day shifts\n \n Key Qualifications \n \n • ARRT(CT) certification required\n, • BLS certification required\n, • NJ Radiologic Technology license (must be obtained before start date; support provided for completion)\n, • Previous experience operating Siemens Go Top CT units strongly preferred\n \n Core Responsibilities \n \n • Conduct high-quality CT imaging procedures following physician orders and facility protocols\n, • Accurately position and prepare patients, ensuring safety and comfort\n, • Operate Siemens Go Top CT scanners with expertise and efficiency\n, • Collaborate with radiologists, physicians, and nursing staff to deliver timely diagnostic results\n, • Maintain comprehensive and accurate patient records in compliance with regulatory standards\n, • Uphold best practices for radiation safety and infection control\n \n What You’ll Enjoy \n \n • Tax-advantaged travel stipends and travel assistance, making your move both seamless and cost-effective\n, • Premium compensation tailored for travel roles\n, • Access to top-tier healthcare benefits and a 401(k) retirement plan for your security\n, • Opportunities for rapid professional growth and a strengthened CV through diverse clinical exposure\n, • The chance to discover and enjoy a vibrant city during your assignment\n \n Take the next step in your CT technology career and make the most of this exciting opportunity in Newark. Advance your expertise, expand your horizons, and create unforgettable experiences—apply today! \n $3,225 - $3,400/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 #9677002-7101. 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 Join Toshiba America Business Solutions as a Field Service Technician II in New York, NY You’ll work with industry-leading office technology while supporting customers throughout your assigned territory. From troubleshooting and repairs to installations and upgrades, you’ll play a key role in keeping multifunction printers, copiers, and Managed Print Services (MPS) environments running at their best. Every day brings new opportunities to solve technical challenges, support customers and keep business-critical technology running smoothly. If you enjoy hands-on work, continuous learning, and working directly with customers, you’ll have the opportunity to build your expertise across industry-leading office technology. What you’ll do • Maintain, service, and repair printers, copiers, and other office technology at customer locations, • Provide product training and support to customers, • Diagnose equipment issues and perform installations, upgrades, modifications, removals, and retrofits., • Complete service calls based on priority while managing your schedule effectively, • Maintain parts inventory, tools, and test equipment, and perform preventative maintenance, • Complete required Toshiba, dealer, and manufacturer training, and rebuild components in the shop as needed, • Accurately document service activities and follow safety policies and procedures What You’ll Bring • High School Diploma or GED, • 3+ years of experience in technical repair, service, installation, training, or support of copier and office equipment, Photo ID systems/software, printers, ID Badge systems, fingerprint equipment, or comparable products, • Relevant education, certifications, or internships in related fields may be considered in lieu of the required experience, • Intermediate computer skills and strong electro-mechanical aptitude, • Ability to lift 50 lbs. and perform frequent bending, lifting, and reaching, • Valid driver's license and auto insurance coverage per Toshiba policy for positions requiring the use of a personal vehicle for company business Earn Well • Hourly Range: $26.00 to $29.00 depending on experience., • Monthly Performance Based Technician Bonus - up to $4,800 per year—$400 per month. Benefits • Medical, dental, and vision coverage, • 401(k) plan with match and company provided life insurance, • Employee Assistance Programs, pre-tax spending accounts, pet insurance, and employee discounts, • Generous paid holidays, vacation & sick/personal business/volunteer days, • Opportunities for career growth within a global technology organization About Us Toshiba America Business Solutions is a leader in digital technology, delivering innovative print, document management, and workflow solutions that help organizations across a wide range of industries. At Toshiba, you’ll have opportunities to expand your expertise, gain exposure to multiple areas of the business, and build a rewarding career with a trusted global organization. Learn More The content below is exclusively available on our careers site job description: https://careers.business.toshiba.com/ Join Our Talent Community Our Commitment to Sustainability News Archive Solutions & Services Our Office Products e‑BRIDGE® Global Print Toshiba Office Collection Virtual Demonstration (YouTube) Client Testimonials (YouTube Playlist) Toshiba America Business Solutions is an equal opportunity/affirmative action employer that evaluates qualified applicants without regard to age, ancestry, color, religious creed, disability, marital status, medical condition, genetic information, military or veteran status, national origin, race, sex, gender, gender identity, gender expression and sexual orientation or any other protected factor. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should email AccommodationRequest@tabs.toshiba.com to request an accommodation.

Job Description Position Summary: We are looking for motivated, mechanically inclined individuals to join our expanding workforce. As a Junior Field Technician, you will work alongside our senior team, gaining hands-on experience in the service and support of heavy-duty vehicle lifting systems. This role is designed for those who have a strong aptitude for mechanical work and are eager to learn the technical intricacies of our industry. Key Responsibilities: Support & Collaboration: Work closely with senior technicians and management on major repairs, installations, and routine maintenance tasks. Troubleshooting: Assist in mechanical troubleshooting and equipment repairs, demonstrating an eagerness to learn testing protocols. Documentation: Accurately complete service reports/work orders and inspection documentation for all site visits. Technical Growth: Develop an understanding of electrical-mechanical and hydraulic systems; learn to read and utilize schematics. Professional Representation: Represent Hoffman Services Inc. as a professional, expert partner when engaging with customers and distributors. Adaptability: Maintain flexibility regarding work assignments and schedules to meet the needs of our project load. Qualifications: Experience: Prior experience in auto mechanics, electrical fields, general maintenance, or service technology is preferred. Individuals with military, RV, or marine backgrounds are encouraged to apply. Licensing: A valid NJ state driving license, in good standing, with a clean driving record, is required. Education: High School diploma or equivalent is is required. College education is preferred. Attributes: Strong mechanical aptitude, reliability, and a commitment to learning our specialized business. Physical Demands & Working Conditions: Physical: Ability to perform tasks including standing, walking, sitting, climbing, stooping, kneeling, crouching, reaching, handling, and grasping. Must have good eye/hand/foot coordination.1 Capacity: Ability to lift up to 75 lbs and utilize various hand, air, and electric tools. Compensation & Benefits Competitive salary. Paid medical insurance, vacation, sick days, and holidays. 401(k) Plan with company match (upon meeting eligibility requirements). Note: Hoffman Services Inc. provides required PPE. Eligibility for specific employee perks, such as company vehicles and certain benefits, follows standard company probationary periods. \nCompany Description Hoffman Services Inc. is an industry leader in heavy-duty vehicle lifting systems. As a third-generation company established in 1926, we are strong, mighty, and a preferred supplier to public and private sector organizations across the tri-state area. We pride ourselves on offering a tremendous career opportunity for our staff. We are looking for motivated, mechanically inclined individuals to join our expanding workforce. As a Junior Field Technician, you will work alongside our senior team, gaining hands-on experience in the service and support of heavy-duty vehicle lifting systems. This role is designed for those who have a strong aptitude for mechanical work and are eager to learn the technical intricacies of our industry. Hoffman Services Inc. is an industry leader in heavy-duty vehicle lifting systems. \r\nAs a third-generation company established in 1926, we are strong, mighty, and a preferred supplier to public and private sector organizations across the tri-state area. We pride ourselves on offering a tremendous career opportunity for our staff.\r\n-\r\nWe are looking for motivated, mechanically inclined individuals to join our expanding workforce. As a Junior Field Technician, you will work alongside our senior team, gaining hands-on experience in the service and support of heavy-duty vehicle lifting systems. This role is designed for those who have a strong aptitude for mechanical work and are eager to learn the technical intricacies of our industry.

Job Description Service Employee The Service Employer maintains and fuels all school buses, activity, and commercial buses in conjunction with First Student's Maintenance Department: dispenses fuel, checks oil, maintains accurate stick and meter readings, stocks required supplies and equipment, and coordinates the flow of buses to ensure safe operation. Performs light maintenance as necessary to buildings and grounds. $20.00/hr As a Service Employee, your major responsibilities will be to: • Opens the gates to the lot and checks bus parking areas to ensure all can be dispatched in a timely manner. Re-positions any buses that may impede the traffic in the yard, • Maintains accurate records and completes Bulk Fuel Receiving Report, Fuel Variance Report, Closing Month-end Report and Meter Calibration Report, • Notifies the Location Manager or designee when a fuel delivery is required and ensures that accurate stick readings are taken before and after delivery, • Checks and fills the oil, antifreeze, power steering, transmission fluid, brake fluid, windshield washer fluid and belts on buses being fueled, • Performs light interior and exterior maintenance on buses as required, • Performs any other management requests or directives as requested At First Student, each individual plays an integral part of the communities they serve. We care as much about you as we do our students and that is why we are Proud & Excited to offer the following: • Tremendous Career Advancement Opportunities, • Competitive Wages Service Employee Requirements: • High school diploma or GED equivalent, • Knowledge of bus maintenance, • Ability to learn maintenance skills., • Subject to DOT drug testing and physical. DOT Regulation 49 CFR Part 40 does not authorize the use of Schedule I drugs, including marijuana, for any reason. Language Requirement This role requires English proficiency. Federal, state, and local requirements, including U.S. Department of Transportation (DOT) regulations, require training, safety communications, company policies, employment documents, and other job-related communications be conducted in English. First for a reason: At First Student, we are a family of 60,000+ employees who take pride in safely transporting more than 5 million students and passengers to and from their destinations each day! Our family of brands include Transco, Total Transportation, Maggies Paratransit, and GVC II. Our employees are at the forefront of safety and innovation; they create and implement the most advanced training and technology the transportation industry has to offer. In the state of Washington, all technician and driving positions, including but not limited to van drivers and any other position requiring employees to drive a company-owned vehicle, are considered safety-sensitive and are therefore subject to drug and alcohol testing, including cannabis. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. First is also committed to providing a drug-free workplace. First will consider for employment qualified applicants with criminal histories consistent with the requirements of the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Ordinance, and any other fair chance law. Philadelphia's Fair Criminal Record Screening Standards Ordinance Poster is at this link or upon request https://www.phila.gov/media/20210423160847/Fair-Chance-Hiring-law-poster.pdf. \nCompany Description About us An industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America. Industry leader We safely operate more than one third of all contracted school buses in North America. Together our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon. We operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces. Innovation We were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling. Passionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route. Awards & recognition We won the Occupational Excellence Achievement Award from the National Safety Council two years in a row. Dedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America. Teamwork and trust It takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners. We’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience. Our culture We live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve. Safety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives. Learning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future. Making a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day. Careers for all – We’re an Equal Opportunity Employer and an Employer of Choice. By consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference. About us\r\nAn industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America.\r\n\r\nIndustry leader\r\nWe safely operate more than one third of all contracted school buses in North America.\r\nTogether our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon.\r\nWe operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces.\r\n\r\nInnovation\r\nWe were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling.\r\nPassionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route.\r\n\r\nAwards & recognition\r\nWe won the Occupational Excellence Achievement Award from the National Safety Council two years in a row.\r\nDedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America.\r\n\r\nTeamwork and trust\r\nIt takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners.\r\n\r\nWe’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience.\r\n\r\nOur culture\r\nWe live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve.\r\n\r\nSafety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives.\r\nLearning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future.\r\nMaking a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day.\r\nCareers for all – We’re an Equal Opportunity Employer and an Employer of Choice.\r\nBy consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference.

Job Description Join a USA Today Top Workplace! Morris Group, Inc., one of the largest machine tool distribution networks in North America, is a third generation, family owned and operated business that serves manufacturers of precision machined parts in the United States. Our mission is to help manufacturers maintain a competitive advantage in the world economy by improving productivity. Summary of Responsibility: A Field Service Technician is a key member of the Customer Support Department and is primarily responsible for the installation, preventive maintenance, solving and repair of Computer Numerically Controlled (CNC) Lathe, Milling and Multi-Functional Machining Centers. We are seeking customer focused professionals who have a positive attitude, a high interest in learning and great Customer service skills. This opportunity is an above average platform for technical advancement and compensation growth. What You Will Contribute: The CNC Field Service Technician must have or be willing to learn through training on the job and classroom an understanding of mechanical drawings, electrical/pneumatic/hydraulic schematics, PLC ladder diagrams and testing equipment required to effectively diagnose and resolve issues with electrical/mechanical components, as well as electro-mechanical and machine control systems. Daily travel from home to Customer facilities with occasional overnight hotel stays required when servicing remote Customer locations within the designated coverage territory or when participating in remote training programs. Demonstrating a willingness to help others and be a team member Install, commission, calibrate, maintain, tackle, diagnose, and repair CNC equipment and accessory CNC equipment at customer facilities. Service calls also include operator training, networking between systems, software applications, preventive maintenance, major assembly replacements and alignments, overhauls/refurbishments, upgrades/retrofits, and un-installation services. Provide a direct communication link between the Customer and the Service Group of the Robert E. Morris Company. Provide voice of Customer feedback. Through service and Customer relationships, build brand dedication. Conduct travel and work in a safe manner, constantly learning new technology and soft skills. Apply machine tool manuals, technical documents, as well as internal and external authorities to optimally diagnose and resolve CNC equipment issues. Effectively understand and use the Salesforce Lightning Customer Support computer system. Qualifications & Competencies: Proficient verbal and written communication and Customer relation skills. Able to interact and effectively communicate in person and over the phone with customer and co-workers. Present a professional image. Must be adaptable to changes and able to deal with change, delays, or general work-related issues. Basic digital literacy and shown understanding of MS Word, Excel, and Outlook. Must have, and/or be willing/capable of being trained to develop, electro-mechanical skills (motors, drives, transformers etc.). Knowledge of machine tool manufacture, installation, operation, maintenance & repair and/or a broad shop background – is a plus. Basic mechanical and logical solving skills are a must. Rational decision making and problem-solving skills. Work Environment Exposure to manufacturing/machining environments which may present possible hazards such as noise, electricity, chemicals, heavy equipment, and other automated or manual machinery. General office and training environment experienced at the Robert E. Morris Company. Other Functions: Perform related duties as required The duties listed above are intended only as illustration of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar or a logical assignment to the position. What’s in it for You: We take great pride in our employees and offer a variety of benefits that allow our employees to be successful inside and outside of work: Competitive starting salary Market competitive comprehensive health benefits including a zero premium medical plan offering, vision, dental, and company paid life insurance 3+ Weeks’ Vacation to Start 10 Company Paid Holidays 401(k) retirement plan with company contribution Tuition reimbursement Employee appreciation events and perks Employee Assistance Program Mental and Physical Requirements: The physical demands and characteristics of the work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Must be highly mobile, able to access all areas of the premises. Ability to concentrate and remain focused while prioritizing multiple tasks, responsibilities, and projects. Ability to sit for prolonged period of times. Able to perform bending, twisting, stooping, reaching, and lifting of moderate to heavyweight material up to 50 lbs. with assistance from equipment or other employees. Ability to frequently use hands and arms. Vision abilities required by the job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Ability to work responsibly and professionally in dynamic job sites that may involve tight timelines, changing priorities, and interaction with customers and team members. Certain positions are designated as safety-sensitive due to the nature of the work performed. Employees in these roles may also be expected to: Ability to stand, walk, bend, kneel, crouch, climb, and reach for extended periods while servicing equipment. Ability to work in tight spaces or awkward positions, including accessing equipment interiors and elevated areas. Strong hand–eye coordination and fine motor skills required for precise electrical, mechanical, and diagnostic work. Ability to work in industrial environments, with exposure to noise, lubricants, coolants, metal chips, and other manufacturing conditions, while consistently wearing required personal protective equipment (PPE). Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Requisition #: 1438B, Brooklyn NY

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 DescriptionCompany Description WHO WE ARE Equinox is a category of one, setting the global standard for luxury health, wellness, and hospitality. Our spaces are intentionally elevated, our standards uncompromising, and our expectations high. We attract people who take pride in excellence, care deeply about quality, and want to be part of something that feels different the moment you walk through the door. We are builders, operators, and innovators who believe great environments and meaningful human connection change lives. Diversity, belonging, and ownership aren’t slogans here, they’re how we work. At Equinox, colleagues don’t just support the business; they shape the future of wellness. Because for us, it’s not fitness. It’s life. WHAT WE DO We create premium, immersive experiences where performance, hospitality, design, and human connection converge—and every detail matters. This is not a traditional fitness environment. It is a place where high standards, accountability, and pride in craft define the work. Fueled by an entrepreneurial mindset, we trust our people with real responsibility and real impact. Growth is earned through action, learning is hands‑on, and careers are built by those who want to operate at the highest level. At Equinox, we don’t just offer opportunities—we offer long‑term pathways for people who want to do meaningful work in an environment that expects more and delivers more. Job Description Equinox is the industry leader for luxury fitness and health optimization. Our clubs are searching for experienced Fitness Professionals already certified in an array of related fields including Physical Therapy, Chiropractic Medicine, Yoga, Pilates, Personal Training, and/or Massage Therapy. Equinox’s Stretch + Mobility Training Program ensures that clients receive a hyper-customized stretching session. Stretch Business Management • Build and maintain an active client base, • Manage and maintain an accurate schedule, inclusive of client appointments, meetings, and open availability within our internal scheduling systems, • Market and sell stretch series to members and clients through phone calls, emails, and in-person interactions and Stretch Events., • Maintain knowledge of all club services, programs, and products Service and Hospitality • Execute intake, outtake and assisted stretches 30/60 min as well as 15/25 min complimentary services for members, • Interact with members to enhance their recovery and overall club experience, • Create and offer personalized programs / series, • Maintain an organized, clean and safe stretch area during shifts and sessions Professional Development • Attend and pass mandatory pre-work training, • Continuing Education classes to elevate knowledge and qualify for promotions, • Attend and participate in any required one-on-one or team meetings with management Qualifications Equinox’s Stretch + Mobility Training Program is an assisted stretching program developed by Equinox's most experienced manual therapists and experts. During the required Equinox proprietary theory and hands-on training, our Stretch + Mobility Specialists learn the muscular system, a variety of assisted stretches and how to work with a variety of clients from professional athletes, weekend warriors, those recovering from an injury and clients of all ages and body types. • Must possess a fitness related certification or Massage Therapy License, • CPR/AED Certification, • Possess passion, ambition, drive, and knowledge regarding anatomy, fitness and recovery, • Ability to work in-person during weekdays/weekends, • Strong verbal and written communication skills, • Effective time management and organizational skills, • Basic computer and technology skills, • Energetic, friendly, punctual, hygienic and respectful Pay Transparency: $17.00 Hourly Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership, • Perks and incentives with our products and services including Personal Training, Pilates, Spa and Shop NOTE: This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure the proper operations of the department. Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at https://careers.equinox.com All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

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).

Technical Product Manager, Software & AI Agents (Core Platform) \n Location: Brooklyn, NY (5 Days Onsite) \n Compensation: $200K–$270K Base \n Company: $55M Seed-Funded AI & Robotics Startup \n \n About the Opportunity \n Shields Group Search is partnering with a well-funded, early-stage AI and robotics startup developing autonomous scientific laboratories that dramatically accelerate materials discovery. \n The company combines AI agents, machine learning, robotic automation, and physical experimentation to discover and validate new materials in weeks rather than years. Backed by $55M in seed funding, the team consists of approximately 47 engineers, ML researchers, and scientists. \n \n They're hiring a Technical Product Manager to own the core software, data infrastructure, and AI agent platform powering their autonomous research systems. This role reports directly to the Co-founder and President and offers significant ownership over foundational technical and product decisions. \n \n What You'll Do \n\n • Own the roadmap for the core software and AI platform, including build-versus-buy decisions and defining shared infrastructure versus individual capabilities.\n, • Define APIs, data infrastructure, workflow orchestration, experiment records, and integrations connecting agents, models, and robotic laboratories.\n, • Shape AI agent capabilities, including tool use, planning, execution, evaluation frameworks, reliability, and human-in-the-loop controls.\n, • Partner with ML researchers and scientists to connect model predictions, robotic experimentation, and real-world results into continuous learning loops.\n, • Own model-serving requirements, performance, observability, scalability, security, and data governance.\n, • Define how researchers and customers interact with the platform, inspect agent decisions, and consume results through APIs, reports, and data exports.\n, • Establish meaningful evaluation metrics that connect model and agent performance to real laboratory and customer outcomes.\n, • Work directly with engineers, scientists, and leadership to prioritize technical initiatives, resolve competing perspectives, and translate customer needs into product requirements.\n\n What We're Looking For \n\n • 5–7 years of product management experience, preferably at early-stage startups, with demonstrated 0-to-1 ownership.\n, • At least 1 year directly shipping AI agent or ML-powered products, ideally involving agentic systems, AI infrastructure, or technical platforms.\n, • Strong technical depth: Comfortable reading code, building lightweight prototypes, and discussing architecture, APIs, data pipelines, integrations, and engineering tradeoffs.\n, • AI reliability expertise: Understands agent evaluations, grounding, tool failures, model limitations, and human-in-the-loop workflows.\n, • Technical product judgment: Able to connect model benchmarks to real-world outcomes and independently make architectural, prioritization, and build-versus-buy decisions.\n, • Cross-functional leadership: Comfortable working directly with engineers, ML researchers, and scientists, challenging assumptions, and building alignment without formal authority.\n, • Startup mindset: Scrappy, self-directed, low-ego, and comfortable building products and processes from scratch.\n\n Particularly Interesting Backgrounds \n\n • AI agents, LLM applications, ML infrastructure, MLOps, and developer platforms.\n, • Robotics, autonomous systems, defense technology, and laboratory automation.\n, • Scientific software, materials science, chemistry, physics-based simulations, and computational research.\n, • Bayesian optimization, active learning, and closed-loop experimentation.\n, • Technical founders, former engineers, or startup PMs with technical degrees and enterprise AI experience.\n\n Compensation & Details \n\n • Base Salary: $200K–$270K\n, • Location: Brooklyn Navy Yard, NYC — 5 days onsite\n, • Funding: $55M Seed\n, • Reporting To: Co-founder and President\n, • Visa: O-1 sponsorship available; TN accepted. H-1B eligibility unconfirmed.\n\n \n Apply \n If you're a hands-on technical Product Manager who enjoys building AI-native products, working closely with exceptional engineers and researchers, and tackling complex 0-to-1 challenges, we'd love to connect.

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

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

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