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Department/Unit: Operating Room Work Shift: Day (United States of America) Salary Range: $83,200.00 - $93,184.00 The Registered Professional Nurse assesses, coordinates, plans, directs, implements and manages the needs of surgical patients throughout the episode of care with a focus on progress toward discharge, including during transitions within the acute care stay. The surgical nurse acts as the patients advocate during the surgical procedure. The Registered Professional Nurse is responsible for the delivery and coordination of patient care provided by the caregiving team. S/he assures that competent, compassionate patient care is uniformly provided to customers including referring facilities, hospital staff and patients in the inpatient, ambulatory, and community settings. Essential Duties & Responsibilities include but not limited to: • Implements physician orders, administers medications to the sterile field, document as required by organizational policy and local/state/federal rules and regulations., • Assesses and evaluates patient needs for, and responses to, care rendered., • Applies sound nursing judgment in patient care management decisions., • Directs and guides ancillary personnel and maintain standards of professional nursing., • Acts as the patient advocate in the surgical setting Minimum Qualifications: • Graduate of a professional academic nursing program in which a Diploma, Associate Degree or Baccalaureate Degree is preferred, • Must hold current NYS Registered Nurse license, • Obtains and maintains certification in Basic Life Support (BLS), CNOR is preferred, • Minimum of 1-3 years of previous clinical RN experience is preferred in the surgical setting, • Possesses knowledge of quality concepts, principles, and problem-solving tools and techniques and demonstrates ability to apply in support of departmental and patient care quality improvement The Albany Medical Center’s Surgical Care program is growing to address the needs of our patients. We have expanded our surgical facilities and capabilities. The Operating Room at our Main Campus has 35 state-of-the-art operating suites with the most advanced robotic technology and specialty rooms for cardiac, neurology, urology, vascular and pediatric patients. Hybrid operating suite combines minimally invasive and interventional surgical techniques and includes 3D and rotational CT imaging. Two-room intraoperative CT suite for highly complex procedures spine and brain surgery. Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Department/Unit: Operating Room Work Shift: Day (United States of America) Salary Range: The Registered Professional Nurse assesses, coordinates, plans, directs, implements and manages the needs of surgical patients throughout the episode of care with a focus on progress toward discharge, including during transitions within the acute care stay. The surgical nurse acts as the patients advocate during the surgical procedure. The Registered Professional Nurse is responsible for the delivery and coordination of patient care provided by the caregiving team. S/he assures that competent, compassionate patient care is uniformly provided to customers including referring facilities, hospital staff and patients in the inpatient, ambulatory, and community settings. Registered Nurse (RN) Operating Room (Main Campus) Albany, NY Essential Duties & Responsibilities include but not limited to: • Implements physician orders, administers medications to the sterile field, document as required by organizational policy and local/state/federal rules and regulations., • Assesses and evaluates patient needs for, and responses to, care rendered., • Applies sound nursing judgment in patient care management decisions., • Directs and guides ancillary personnel and maintain standards of professional nursing., • Acts as the patient advocate in the surgical setting Minimum Qualifications: • Graduate of a professional academic nursing program in which a Diploma, Associate Degree or Baccalaureate Degree is preferred, • Must hold current NYS Registered Nurse license, • Obtains and maintains certification in Basic Life Support (BLS), CNOR is preferred, • Minimum of 1-3 years of previous clinical RN experience is preferred in the surgical setting, • Possesses knowledge of quality concepts, principles, and problem-solving tools and techniques and demonstrates ability to apply in support of departmental and patient care quality improvement The Albany Medical Center’s Surgical Care program is growing to address the needs of our patients. We have expanded our surgical facilities and capabilities. The Operating Room at our Main Campus has 35 state-of-the-art operating suites with the most advanced robotic technology and specialty rooms for cardiac, neurology, urology, vascular and pediatric patients. Hybrid operating suite combines minimally invasive and interventional surgical techniques and includes 3D and rotational CT imaging. Two-room intraoperative CT suite for highly complex procedures spine and brain surgery. Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Department/Unit: Operating Room Work Shift: Evening (United States of America) Salary Range: $88,192.00 - $136,697.60 The Registered Professional Nurse assesses, coordinates, plans, directs, implements and manages the needs of surgical patients throughout the episode of care with a focus on progress toward discharge, including during transitions within the acute care stay. The surgical nurse acts as the patients advocate during the surgical procedure. The Registered Professional Nurse is responsible for the delivery and coordination of patient care provided by the caregiving team. S/he assures that competent, compassionate patient care is uniformly provided to customers including referring facilities, hospital staff and patients in the inpatient, ambulatory, and community settings. Essential Duties & Responsibilities include but not limited to: • Implements physician orders, administers medications to the sterile field, document as required by organizational policy and local/state/federal rules and regulations., • Assesses and evaluates patient needs for, and responses to, care rendered., • Applies sound nursing judgment in patient care management decisions., • Directs and guides ancillary personnel and maintain standards of professional nursing., • Acts as the patient advocate in the surgical setting Minimum Qualifications: • Graduate of a professional academic nursing program in which a Diploma, Associate Degree or Baccalaureate Degree is preferred, • Must hold current NYS Registered Nurse license, • Obtains and maintains certification in Basic Life Support (BLS), CNOR is preferred, • Minimum of 1-3 years of previous clinical RN experience is preferred in the surgical setting, • Possesses knowledge of quality concepts, principles, and problem-solving tools and techniques and demonstrates ability to apply in support of departmental and patient care quality improvement The Albany Medical Center’s Surgical Care program is growing to address the needs of our patients. We have expanded our surgical facilities and capabilities. The Operating Room at our Main Campus has 35 state-of-the-art operating suites with the most advanced robotic technology and specialty rooms for cardiac, neurology, urology, vascular and pediatric patients. Hybrid operating suite combines minimally invasive and interventional surgical techniques and includes 3D and rotational CT imaging. Two-room intraoperative CT suite for highly complex procedures spine and brain surgery. Thank you for your interest in Albany Medical Center! Albany Medical is an equal opportunity employer. This role may require access to information considered sensitive to Albany Medical Center, its patients, affiliates, and partners, including but not limited to HIPAA Protected Health Information and other information regulated by Federal and New York State statutes. Workforce members are expected to ensure that: Access to information is based on a “need to know” and is the minimum necessary to properly perform assigned duties. Use or disclosure shall not exceed the minimum amount of information needed to accomplish an intended purpose. Reasonable efforts, consistent with Albany Med Center policies and standards, shall be made to ensure that information is adequately protected from unauthorized access and modification.

Opportunities with Optum in the Tri-State region (formerly CareMount Medical, ProHEALTH New York and Riverside Medical Group). Come make a difference in the lives of people who turn to us for care at one of our hundreds of locations across New York, New Jersey and Connecticut. Work with state-of-the-art technology and brilliant co-workers who share your passion for helping people feel their best. Join a dynamic health care organization and discover the meaning behind Caring. Connecting. Growing together. Optum Riverdale Family Practice, part of Optum, has an immediate opening for a friendly, patient focused and detailed oriented Office Supervisor to join our team. The Office Supervisor is responsible for the completion of set processes and protocols. Works cooperatively with all members of the care team to support the vision and mission of the organization, deliver excellent customer service and adhere to Lean processes. Supports the teams in meeting financial, clinical and service goals. Schedule: Office is open six days a week. This role would consist of a 40-hour work week, Monday through Thursday between the hours of 7:30 am to 7:30 pm. Friday between the hours of 7:30 am to 6:00 pm and Saturdays as needed from 7:30 am to 11:30 am. The schedule will be determined by the supervisor upon hire. Location: 3050 Corlear Ave., Suite 201, Second Floor, Bronx, NY 10463 Primary Responsibilities: • Serve as an on-site resource to support patients, staff and providers, • Maintain standards for facility appearance, patient and employee experience, professionalism and productivity, • Create an environment to foster a positive office culture, • Enforce implementation of company policies and protocols, • Ensure staff is working productively and professionally throughout all working hours, • Hire, train and evaluate new staff members, • Collaborate with management/HR on staff reviews, feedback and disciplinary action, • Facilitate billing inquiries from patients; address billing/coding issues with staff or providers, • Reconcile KPI's; recognize top performers and coach/train members as needed, • Maintain office and medical supplies for inventory and clinical compliance, • Complete monthly staff schedules and arrange for coverage/review and approve employee payroll timecards, • Work alternate hours: morning, evening, and weekends shifts, • Communicate with the Administration team regularly to provide updates of any issues resolved, • Partner with leaders to drive marking initiatives for practice, • Handle resolution/inquiries from members and/or clinical team, • Responsible in managing daily schedule, • Responsible for EPIC superuser status, • Ability to manage timecards of employees, • Ability to support all staff and leadership in their roles, • Ability to de-escalate and resolve patient complaints, • Provide guidance / consultation to other team members, • Educate the team on the continuum of integrated care, • Ability to cross train and cover other offices as needed, • Paid Time Off which you start to accrue with your first pay period plus 8 Paid Holidays, • Medical Plan options along with participation in a Health Spending Account or a Health Saving account, • Dental, Vision, Life& AD&D Insurance along with Short-term disability and Long-Term Disability coverage, • 401(k) Savings Plan, Employee Stock Purchase Plan, • Education Reimbursement, • Employee Discounts, • Employee Assistance Program, • Employee Referral Bonus Program, • Voluntary Benefits (pet insurance, legal insurance, LTC Insurance, etc.) Required Qualifications: • High School Diploma/GED (or higher), • 2+ years of experience working in a medical office performing duties such as scheduling appointments, checking patients in/out, insurance verification, collecting co-pays, and maintaining medical records, • 1+ years of supervisory experience overseeing 12+ employees, • 1+ years of experience verifying insurance eligibility, • Intermediate level of computer proficiency (multi-tasking through multiple applications including Microsoft Outlook, Excel, and Word), • Ability to travel to other offices when needed for coverage, • Ability to work and cover any shift during the week Preferred Qualifications: • Experience working with an electronic health record (EPIC), • Knowledge of medical terminology, • Ability to be cross trained as a medical assistant or have your certification as a medical assistant presently., • Bilingual in Spanish and English Soft Skills: * Ability to work independently and maintain good judgment and accountability * Demonstrated ability to work well with health care providers * Strong organizational and time management skills * Ability to multi-task and prioritize tasks to meet all deadlines * Ability to work well under pressure in a fast-paced environment * Excellent verbal and written communication skills; ability to speak clearly and concisely, conveying information in a manner that others can understand, as well as ability to understand and interpret information from others Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The hourly pay for this role will range from $20.00 to $35.72 per hour based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #RED

FM is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles. This exciting opportunity is with FM Affiliated, our “best-in-class” middle market property insurer. FM Affiliated is exploring new ways to expand and tailor coverage to meet our brokers’ and client’s ever-evolving business challenges. Drawing on the full strength of the FM Group, we help our clients choose how to best identify, prioritize and reduce future loss in a way that makes practical and affordable sense. We distribute our property insurance products and ___exclusively through a network of brokers. We value ___ that provide the realization of greater value by deploying the skills of our highly trained Account Engineers and Production Underwriters. We are open to considering candidates with a variety of experience levels for this role. Both mid-level and senior-level candidates are encouraged to apply. In addition, the role works closely with Account Engineers to review renewal and new business opportunities to ensure proper risk identification, selection and assessment in order to ensure the development and growth of a profitable portfolio of business. FM Affiliated Production Underwriters primary relationships are with brokers and reinsurers for insurance related issues. Responsibilities include meeting specific profit, retention, and production goals. Business relationships and a network of contacts must be established and an effective program of calls must be executed to meet an average of 10 external calls a month to ensure high visibility. Travel is required for marketing and training including out of state travel. New risks must be pre-qualified based on acceptability today and its future potential, this includes a thorough analysis of the broker submission, desired pricing, terms and conditions, financial condition, adequacy of reported values, and loss experience. The company’s assets must be protected by adhering to company underwriting standards and procedures, this will include determining the amount subject, net capacity commitment, checking cross liability, management of catastrophe aggregate retentions, negotiating and purchasing reinsurance and establishing commissions in a manner most advantageous to the company. • This position requires someone with a bachelor’s degree or equivalent., • 2-5 Years industry experience (broker/insurance company) as Underwriter for commercial property accounts of varying occupancies and sizes., • Candidate must also have experience dealing with a variety of occupancies as well as current engineering and underwriting issues such as current property coverages and forms, and/or quickly learn and keep updated on industry state of the art.

Opportunities with Optum in the Tri-State region (formerly CareMount Medical, ProHEALTH New York and Riverside Medical Group). Come make a difference in the lives of people who turn to us for care at one of our hundreds of locations across New York, New Jersey and Connecticut. Work with state-of-the-art technology and brilliant co-workers who share your passion for helping people feel their best. Join a dynamic health care organization and discover the meaning behind Caring. Connecting. Growing together. Optum Multi-Specialty, part of Optum, has an immediate opening for a friendly, patient focused and detailed oriented Practice Assistant to join our team. The Practice Assistant is responsible for the completion of set processes and protocols. Works cooperatively with all members of the care team to support the vision and mission of the organization, deliver excellent customer service and adhere to Lean processes. Supports the teams in meeting financial, clinical and service goals. Schedule: A 40-hour work week schedule to be determined by the supervisor. The hours are Monday through Thursday between the hours of 8:30 am to 5:00 pm. Friday from 8:00 am to 4:00 pm. Location: 347 E 37th St, New York, NY 10016 Primary Responsibilities: • Greets patients and visitors in a prompt, courteous and helpful manner, • Verifies insurance information, address and phone number of the patient, registers new patients, • Arrives patients on the computer for scheduled appointment, • Collects and posts co-pays and any other payment at time of service, • Schedules patients for future appointments, • Answers telephone, takes messages for the practice, • Confirms new patient appointments for the next day, • Verify eligibility and authorization and flag appointment accordingly, • Scan insurance card(s), • Collect co-payments and outstanding balances, • Ability to obtain authorizations for medications, • Post payments received in practice management system and provide system-generated receipts, • Scheduling Cardiac procedures in an organized and efficient manner, • Knowledge of cardiology and gastroenterology terminology: cardiac procedures and requirements, • Schedule appointments using approved scheduling guidelines, • Use call processing and other applicable functionality in the EHR to take messages and communicate with clinicians, • Monitor daily reminder call logs; conduct outreach to patients requiring appointments; contact patients who, "no show," for follow up appointments for chronic conditions or preventive care, • Monitor administrative tasks in the EHR and respond timely, • Scan and index documents into the EHR; ensure that necessary documents, lab results, etc. are available in advance of patient visits, • Close payment batch(es) at the end of each shift, assemble, and balance batch(es) according to Optum cash control procedures, • Assist coworkers as needed to ensure smooth office operation and delivery of excellent service through teamwork, • Demonstrate respect for patients and Optum staff by presenting a friendly, courteous manner always and maintaining patient confidentiality, • Paid Time Off which you start to accrue with your first pay period plus 8 Paid Holidays, • Medical Plan options along with participation in a Health Spending Account or a Health Saving account, • Dental, Vision, Life& AD&D Insurance along with Short-term disability and Long-Term Disability coverage, • 401(k) Savings Plan, Employee Stock Purchase Plan, • Education Reimbursement, • Employee Discounts, • Employee Assistance Program, • Employee Referral Bonus Program, • Voluntary Benefits (pet insurance, legal insurance, LTC Insurance, etc.) Required Qualifications: • High School Diploma/GED (or higher), • 1+ years of computer proficiency experience (multi-tasking through multiple applications including Microsoft Outlook, Excel, and Word), • 1+ years of customer service or healthcare related experience, • Experience working with an electronic health record (EPIC), • Knowledge of medical terminology, • Ability to work independently and maintain good judgment and accountability, • Demonstrated ability to work well with health care providers, • Strong organizational and time management skills, • Ability to multi-task and prioritize tasks to meet all deadlines, • Ability to work well under pressure in a fast-paced environment, • Excellent verbal and written communication skills; ability to speak clearly and concisely, conveying information in a manner that others can understand, as well as ability to understand and interpret information from others Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The hourly pay for this role will range from $16.00 to $27.69 per hour based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #RED

Gastroenterologist – Join a Well-Established, Patient-Focused Practice Community Care Physicians is a physician-led, patient-focused organization dedicated to delivering high-quality, innovative care across the Capital Region for over 40 years. Join our well-established comprehensive gastroenterology practice. Our modern office is located directly adjacent to the QUAD A where we perform procedures, offering optimal convenience for both patients and providers — with easy access to endoscopy suites, imaging, and lab services all within steps of your practice. We offer an outstanding opportunity for a motivated Board-Certified or Board-Eligible Gastroenterologist to join a collegial team and enjoy a fulfilling, balanced career. Why You’ll Love This Position • No weekend, evening, or on-call responsibilities – maintain true work-life balance, • Adjacent QUAD A location for seamless coordination and efficiency, • Performance-based bonus potential in addition to a competitive base salary, • Established practice and patient panel with growth opportunities, • Diagnose and manage a broad range of gastrointestinal conditions, • Perform and interpret endoscopic procedures in a fully equipped, state-of-the-art facility, • Collaborate with advanced practitioners, nurses, and support staff to ensure optimal patient outcomes, • Educate patients and families on disease prevention, treatment options, and healthy lifestyle practices, • Base salary starting at $400,000 with bonus potential, • Comprehensive benefits package including medical, dental, vision, and retirement plans, • MD or DO degree with completion of an accredited Gastroenterology fellowship, • Board Certified or Board Eligible in Gastroenterology, • Eligible for New York State medical licensure, • Strong clinical and procedural skills Located within three hours of New York City, Boston, and Montreal, Albany offers a cosmopolitan lifestyle with the warmth and affordability of a small town. The region is home to world-renowned companies such as GE Research and Development and Regeneron, as well as prestigious institutions including RPI, Union College, SUNY Albany, and SUNY Nanotech. Families are drawn to the low cost of living, excellent public schools, vibrant multicultural communities, and easy access to nature. The Adirondack Mountains and Hudson Valley offer year-round outdoor recreation — from hiking and skiing to kayaking and fall foliage adventures — where you can enjoy the unparalleled beauty of Upstate New York in all four seasons.

Job Title: Asst Director Patient Care Location: Clara Maass Medical Center Department Name: Post Intensive Care Unit-II Req #: 0000224578 Status: Salaried Shift: Day Pay Range: $124,414.76 - $159,263.78 per year Pay Transparency: The above reflects the anticipated annual salary range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: Located in Belleville, Clara Maass Medical Center is a facility of RWJBarnabas Health and provides a complete continuum of care to residents of northern New Jersey. With over 700 physicians and 2,100 employees, we offer advanced treatment for a wide variety of medical conditions. Our facility includes centers for advanced wound care, sleep disorders, bariatrics, orthopedics cardiac services, cancer care, emergency services, and more. In 2017, the Medical Center completed a state-of-the-art campus expansion featuring a new four-story 87,000 square foot building with a private, 32-bed Intensive Care Unit, new Main Entrance and Lobby, Retail Pharmacy, Patient Registration Area and newly expanded Emergency Department. Required Certifications and Licenses: • Must be a Registered Nurse licensed in New Jersey., • Maintenance of Advanced Cardiac Life Support (ACLS), Basic Life Support (BCLS), • Graduate of an accredited nursing program, Masters degree highly preferred Assists Nursing Director with ensuring that quality nurse care is delivered to all patients and his/her units in accordance with the philosophy, policies, procedures and program plans of the hospital. Develops and sustains an environment that supports compassionate care, healthcare excellence and superior service. Assists with development of patient care standards and continuing education. Assists in performance evaluation of staff, and in scheduling and staffing to meet department needs. Assists in the direction, coordination and development of performance improvement, patient safety and patient experience outcomes. Assures the unit is always in a state of survey readiness and meets compliance with all environmental/equipment requirements. Insures the prompt placement of purchase orders and executes follow up to assure prompt delivery of materials and/or effective performance of services. Makes daily rounds to insure smooth functioning and throughput of patients on the unit and intervenes with all ancillary and support services to provide quality patient care. Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees’ physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

Job Title: RN Location: Clara Maass Medical Center Department Name: Nursing Supervisors Req #: 0000214660 Status: Hourly Shift: Day Pay Range: $46.48 - $62.09 per hour Pay Transparency: The above reflects the anticipated hourly wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: RWJBarnabas Health is seeking a highly dedicated Registered Nurse for our Rapid Response Team at Clara Maass Medical Center in Belleville, NJ. With over 700 physicians and 2,100 employees, we offer advanced treatment for a wide variety of medical conditions. In 2017, the Medical Center completed a state-of-the-art campus expansion featuring a new four-story 87,000 square foot building with a private, 32 bed Intensive Care Unit, new Main Entrance and Lobby, Retail Pharmacy, Patient Registration Area and newly expanded Emergency Department. Qualifications: Required: • ASN or Nursing Diploma, • Strong communication and organizational skills, • Critical Care nursing experience required, • BLS and ACLS Certification, • The Registered Nurse provides nursing care in the health care system within the scope of practice defined by the Nurse Practice Act and regulatory standards and assures awareness of ethical standards of practice as defined by the ANA code of ethics., • The Registered Nurse assures safety in practice and is inclusive of the principles of evidence-based practice by maintaining a realization of own individual level of knowledge and experience and assumes responsibility for advancing knowledge of self and others of the patient care team by communication with and utilizing resource persons and programs available., • The Registered Nurse is responsible for reporting identified safety issues such as hazardous environments (i.e. damaged floors/walls/ceiling tiles/unsecured areas) and medical errors., • The Registered Nurse is responsible for knowledge of the patient population served., • The Registered Nurse is responsible for supervising and directing the delegation of tasks to appropriate team members and collaborates with other patient care providers., • The Registered Nurse is responsible for consistently setting and evaluating priorities through appropriate interventions with measurable outcomes toward improvement., • The Registered Nurse is an individual practitioner and the interdisciplinary team manager, utilizes the nursing process to integrate all aspects of the provision of care and individualizes the plan of care to address a specific patient’s needs., • In this position, the Registered Nurse will respond to all code blues and is responsible for data and reporting., • The Registered Nurse will be assisting with throughput between the ER and PACU Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Benefits and Perks: At RWJBarnabas Health, our market-competitive Total Rewards package provides comprehensive benefits and resources to support our employees’ physical, emotional, social, and financial health. • Paid Time Off (PTO), • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Retirement Plans, • Short & Long Term Disability, • Life & Accidental Death Insurance, • Tuition Reimbursement, • Health Care/Dependent Care Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

___Asst Director Patient Care Location: Jersey City Medical Center Department Name: Medical-Surgical Unit-IV 4E Req #: 47362 Status: per hour Shift: Night Pay Range: $101,000 to $129,000 maximum Annual Base Salary Pay Transparency: The above reflects the anticipated annual salary range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate’s educational background, skills, and professional experience. Job Overview: Since 1882, Jersey City Medical Center has provided Hudson County advanced, state-of-the-art medical treatment across a broad spectrum of different disciplines. From screenings and diagnostics to life-saving, intensive care, our patients can count on a patient-centric approach that puts their comfort and well-being at the forefront of everything we do. Our medical center serves as a regional referral, teaching hospital and is also outfitted with the latest technologies to assist our professionals in providing the highest standard of care for patients of all ages. Required Certifications and Licenses: • Active NJ RN License or Multistate RN License with NJ Endorsement, • BLS certification through American Heart Association, • Full Time The Assistant Director of Patient Care in conjunction with the Nurse Manager, is responsible for the function of the department, ensures that those under his/her supervision adhere to the goals and objectives of the department in accordance with its policies and procedures. Contributes to and supports the mission, vision and values of the department and organizations. Assists with the development of policies and procedures for the department, maintains high visibility on the unit and is a clinical resource person who acts as a role model for the staff on the designated area. The Assistant Director of Patient Care is responsible for maintaining the continuity of patient flow, provides a safe environment for patients, staff and visitors. Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees’ physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

Job Title: Asst Director Patient Care Location: Jersey City Medical Center Department Name: Neonatal ICU Req #: 0000221490 Status: Salaried Shift: Night Pay Range: $124,414.00 - $159,263.00 per year Pay Transparency: The above reflects the anticipated annual salary range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: Since 1882, Jersey City Medical Center has provided Hudson County with advanced, state-of-the-art medical treatment across various disciplines. Jersey City Medical Center, among many accolades, has earned 14 “A” national safety ratings from the Leapfrog Group since the program's inception in 2012, was awarded Magnet Recognition for superior nursing, was named Best Regional Hospital by US News and World Report and ranked among the 100 best places to work in healthcare (nationally). Jersey City Medical Center is also ideally located— in the vibrant Jersey City waterfront community overlooking the harbor, just 10 minutes from New York City, with a grand view of the Statue of Liberty. • BSN, • Strong communication and organizational skills, • Active NJ RN license or compact RN license with NJ endorsement, • NRP and STABLE certification within 3 months of hire and maintenance every two years are required, • Night Shift 7p-7a, • Monday – Friday with weekend and holiday rotations, • Assists Nurse Manager with ensuring that quality nursing care is delivered to all patients and his/her nursing units in accordance with the philosophy, policies, procedures and program plans of the hospital, • Assists with the development of patient care standards, orientation and continuing education, • Provides input into evaluation of staff performance in accordance with organization policies, • Participates in nursing Quality Improvement, • Assists with unit administration, including scheduling, payroll and maintenance of supplies and equipment, • Maintains and role models clinical skills necessary to provide care to patients, • Uses an understanding of the principles of growth and development to assess each patient's age specific needs and provide age specific treatment and care, • Ensure that [unit/department/division] is in compliance with all applicable policies, laws and regulations, • Ensure that [unit/department/division] is in compliance with all applicable policies, laws and regulations • Directs patient care in a manner that promotes the highest standards of care, • Evaluates the quality of nursing care delivered by nursing staff by reviewing plans for care and teaching protocols, assessing patient and interviewing, • Identifies problems and/or areas requiring improvements, • Ensures patient satisfaction as evidenced by Press Ganey scores in response to patient questionnaires, • Resolve problems involving staff, patients, families, physicians and other hospital departments, • Communicates effectively and seeks direction in a timely and appropriate manner, • Serves on inter and intradepartmental committees and special task forces; In collaboration with Nurse Manager ensures that state, JCAHO and federal requirements are completed and documented in an appropriate and timely manner, • In collaboration with Nurse Manager develops unit goals in accordance with departmental goals and plans change to improve patient care, • Effectively manage the day to day operations of the unit, • Assists with unit staff schedules; on a daily basis, identifies the number and level of personnel required to provide patient care based on patient needs and individual needs and individual skill levels, and adjusts staffing and assignments appropriately, • Assesses the physical environment of the unit for cleanliness and safety hazards, and responds appropriately to effect a safe, therapeutic environment for patients, personnel and the public; evaluates equipment and supplies, and monitors for quality and effectiveness, • Reviews work in progress to ensure that treatments, medications, tests and procedures will be completed in a timely manner, • Participates in the interdisciplinary planning for patient care, including discharge planning, • Collaborates with Nurse Manager to monitor unit budgets, • Maintains Clinical Competencies Necessary for the Provision of Care and Staff Professional Development, • Serves as a resource for nursing staff; maintains clinical skills, develops management skills, • In collaborating with Nurse Manager, evaluates the performance and competency of all nursing staff on an ongoing basis Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees’ physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon Choosing RWJBarnabas Health! RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact on local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

Job Title: RN Location: Jersey City Medical Center Department Name: Radiology - RN's Req #: 0000216845 Status: Hourly Shift: Day Pay Range: $46.47 - $64.93 per hour Pay Transparency: The above reflects the anticipated hourly wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: Since 1882, Jersey City Medical Center has provided Hudson County with advanced, state-of-the-art medical treatment across various disciplines. Jersey City Medical Center, among many accolades, has earned 14 “A” national safety ratings from the Leapfrog Group since the program's inception in 2012, was awarded Magnet Recognition for superior nursing, was named Best Regional Hospital by US News and World Report and ranked among the 100 best places to work in healthcare (nationally). Jersey City Medical Center is also ideally located— in the vibrant Jersey City waterfront community overlooking the harbor, just 10 minutes from New York City, with a grand view of the Statue of Liberty. Qualifications: Required: • ADN, • Strong communication and organizational skills, • Proficient computer Skills, • BSN, • Interventional radiology experience, • BLS from the American Heart Association, • Active NJ RN license or compact RN license with NJ endorsement, • ACLS, • Day Shift, 35.3hrs, • Full Time, • Monday – Friday, every other weekend and holiday rotation The role of the Professional Registered Nurse is to provide quality nursing care in collaboration with the medical staff and within the guidelines of the New Jersey State Nurse Practice Act. It is the responsibility of the Professional Nurse to implement the Hospital's Mission and goals through established policies, procedures and performance improvement activities. Implementation of these goals occurs through organization and administration of individualized age specific professional nursing care to patients within an assigned unit of the hospital. The understanding of the principles of growth and development will be incorporated to assess each patient's age specific needs and determine age specific treatment modalities. Utilizes skills to effectively manage clinical quality outcomes for disease specific population Maintains the required documentation and statistical data needed to generate reports. Assists with the development, implementation and adherence of clinical pathways, measures clinical outcomes and maintains clinical data Assists in the development and implementation of quality improvement activities including patient satisfaction, quality of life and other outcome measures as identified. Monitors trends and changes in clinical, service and outcomes in various navigation interventions Maintains high standards for professional development. Acts as a resource, role model and mentor for the professional staff within the Interventional Radiology Department. Administers patient care in the Radiology Department for diagnostic and interventional procedures. Utilizes assessment techniques, teaching and evaluation to determine effectiveness of care. Documents response to procedures when deemed necessary. Participates in Quality Improvement activities. Uses an understanding of the principles of growth and development to assess each patient’s age specific needs and provide age specific treatment and care. Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees’ physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while deliveringa best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

Job Title:RN Location:Jersey City Medical Center Department Name:Operating Room Req #:0000205507 Status:per hour Shift:Day Pay Range: $46.47 - $64.93 per hour Pay Transparency: The above reflects the anticipated hourly wage range for this position if hired to work in New Jersey. The Compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Job Overview: Jersey City Medical Center ___ Qualifications: • ADN, • Must be I.V. certified from an approved facility or must complete the requirements for I.V. certification during orientation., • Excellent communication, leadership, collaboration skills., • Must be a graduate of an accredited school of nursing. BSN required or must be in progress., • 2-3 years of nursing experience required; Operating Room experience preferred, • CNOR Certification preferred, • Active NJ RN license or compact RN license with NJ endorsement, • Day Shift, 38.8 hours per week 11:00 AM - 7:00 PM, • Monday – Friday, every other weekend and holiday rotation, • Full Time As an OR Nurse, you will participate in complex surgeries using some of the latest technology in our state-of-the-art surgical suites. An OR Nurse plays an integral part of the perioperative team and advocates for patients undergoing anesthesia and/or sedation. The OR Nursing team works cooperatively with the multidisciplinary care team to maintain standards for professional nursing practice in the perioperative setting and participates in shared clinical decision-making, inspirational leadership, supportive colleagues, and much more. Must be able to scrub and circulate in the following services: vascular, endovascular, neurovascular, neuro/spine, robotics, thoracic, trauma and general. Benefits and Perks: At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees’ physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: • Paid Time Off including Vacation, Holidays, and Sick Time, • Retirement Plans, • Medical and Prescription Drug Insurance, • Dental and Vision Insurance, • Disability and Life Insurance, • Paid Parental Leave, • Tuition Reimbursement, • Student Loan Planning Support, • Flexible Spending Accounts, • Wellness Programs, • Voluntary Benefits (e.g., Pet Insurance), • Community and Volunteer Opportunities, • Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact on local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey—whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer

Community Care is seeking a motivated Physical Therapist to join their team. This is a full time position, located in our state of the art building Wellness Way! This is an outpatient practice. *This position is eligible for a $5,000.00 recruitment/retention bonus. * More amazing reasons to join CommunityCare physicians: As a Physical Therapist, you are responsible for direct patient care. Integrate elements of patient/client management, examination, evaluation, diagnosis, prognosis and interventions in a manner designed to maximize patient’s functional outcomes. Document treatments and patient progress according to professional, department policies and procedures. Responsibilities: • Formulates comprehensive treatment program by evaluating patient’s past medical history, disease/condition, impairments, disability and functional/developmental status, • Prioritize patient care needs, • Accurately assess patient’s needs through the continuum of care and provides appropriate disposition, equipment, education and treatment recommendations in a timely manner, • Completes all documentation in accordance with professional, organizational, regulatory and facility's corporate compliance standards, • Graduate of an approved Physical Therapy program with a Bachelor of Science, Master’s degree or Clinical Doctorate of physical therapy degree, • Current NYS Physical Therapy license and registration, • 1 year physical therapy experience preferred, • New graduates welcome to apply!, • 401(k), • Dental insurance, • Health insurance, • Life insurance, • Paid time off, • Retirement plan, • Tuition reimbursement If you are interested in this opportunity and have the desired qualifications, please Apply Now! Compensation: $78,000.00 - $118,577.28 annually CCP salary ranges are designed to be competitive with room for professional and financial growth. Individual compensation is based on several factors unique to each candidate, such as work experience, qualifications, and skills. Some roles may also be eligible for overtime pay. CCP's compensation packages go far beyond just salary. The company offers a comprehensive total rewards package that includes medical, dental, vision and life insurances, paid holidays, paid time off, retirement plan, and much more in a business casual environment! We welcome candidates who will bring diverse intellectual, gender and ethnic perspectives to Community Care Physicians. Community Care Physicians is an Equal Opportunity Employer.

LocumJobsOnline is working with LocumTenens.com to find a qualified Obstetrics and Gynecology MD in New York! About The Position This Job at a Glance • Job Reference Id: ORD-197578-MD-NY, • Title: MD, • Dates Needed: Before 11/14; ongoing, • Shift Type: Day Shift; Call, • Assignment Type: Clinic; Full Scope, • Call Required: Yes, • Board Certification Required: Yes Additional Job Details • Case Load/PPD: tbd, • Location Type: On-Site, • Precision job matching with proprietary algorithm, • Rapid credentialing with Axuall Digital Wallet, • Concierge support with a dedicated clinician deployment specialist, • Digital hub for assignment details Contact: 1651730EXPTEMP Top Reasons to Choose a Locum Tenens Assignment • Assume leadership roles or managerial responsibilities in interim positions or short-term assignments, honing your leadership skills and management expertise., • Avoid the hassle of permanent relocation by taking on temporary assignments in various locations, experiencing different communities without long-term commitment., • Embrace remote work options in telemedicine or virtual healthcare settings, leveraging technology to deliver care from anywhere while maintaining professional engagement., • Strategically plan your career trajectory by leveraging locum assignments to gain experiences and skills that align with your long-term professional goals., • Tailor patient care approaches to individual needs and preferences, free from institutional protocols or constraints, fostering patient-centered care and satisfaction.PandoLogic. Category:Healthcare, Keywords:Physician, Location:NEW YORK CITY, NY-10060

LocumJobsOnline is working with Medicus Healthcare Solutions to find a qualified Family Practice MD in New York! About The Position Opportunity Details Medicus is collaborating with a clinic in southern New York that has an opportunity for a Family Medicine physician to provide locum coverage. Opportunity Details: • Schedule: Monday-Friday, 8-hour shifts, • No call shifts, • Setting: Outpatient, • Patient Census: Up to 24 per day, • Patient Population: All ages, • EMR: Epic, • Must be board-certified Please apply to learn more about this opportunity. FAM - 72225 Benefits Work with a dedicated recruiter invested in your success. Gain access to leading hospitals and healthcare facilities nationwide. Maximize earnings with competitive pay rates. Have peace of mind with comprehensive malpractice coverage. Receive expert support from our in-house team for licensing and credentialing. Enjoy complimentary travel and lodging arranged by our dedicated travel team. Experience simplified assignment management and timesheet submittals via the Medicus Portal. Unlock exclusive perks by joining the My Medicus Loyalty Program after your first shift. 1663083EXPTEMP Top Reasons to Choose a Locum Tenens Assignment • Embark on exciting adventures and explore new destinations while fulfilling your professional obligations, combining work with leisure and discovery., • Embrace a culture of lifelong learning and professional development in locum assignments, continually seeking opportunities to expand knowledge, skills, and expertise throughout your career journey., • Engage with peers and colleagues in collaborative learning environments, sharing insights, best practices, and innovative approaches to patient care., • Increase your earnings by taking on additional shifts or assignments, boosting your financial stability and opportunities., • Maintain a healthier equilibrium between work and personal life, avoiding burnout and stress.PandoLogic. Category:Healthcare, Keywords:Family Physician, Location:NEW YORK CITY, NY-10060

Overview: Interstate Waste Services is the most progressive and innovative provider of solid waste and recycling services in the country! We primarily service Northern New Jersey, Southern New York State, New York City, Connecticut, with a state-of-the-art rail served landfill located in Ohio. We cater to a diverse range of residential, industrial and commercial customers. Our mission has always been to provide our customers with the highest quality waste, recycling and environmental services, while keeping focus on employee, customer and environmental safety. What makes our company culture unique is we have mastered the ability to balance the standards of a large corporate company while maintaining our small business family style culture. Essential Job Summary:: The Landfill Engineer positions will play a key role in ensuring the efficient operation of our landfill. In this position you will be part of landfill operations, regulatory permitting and compliance, construction, and environmental management systems. Essential Job Functions: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other minor duties may be assigned.: • Provide technical support on various landfill systems associated with the waste disposal site., • Develop an understanding of all permits governing the construction and operation of landfill disposal sites and waste transfer stations to ensure site is in compliance., • Work with professional consulting firms in preparation of compliance reports and permitting and construction documents., • Provide quality assurance of work submitted by consulting firms for adherence to regulatory requirements and site operations., • Landfill construction (cell and other) contract administration, materials order and delivery, contractor scheduling, CQA oversight, etc., • Manage the preparation, review, and/or submittal of engineering, monitoring and environmental reports., • Lead environmental reviews, audits, and inspections with regulators, customers and corporate., • Work with operations team to formulate short-term and long-term goals and action plans in alignment., • Identify and estimate the cost of site capital needs and follow-through with inclusion in annual budget exercises., • Interact with state and local agencies to foster positive working relationships and to insure efficient and effective compliance with regulations., • Review of waste profiles for adherence to our waste acceptance plan and coordination with our sales team operations teams for receipt of special waste., • Complete monthly soil tracking reports and other status reports. Requirements and Qualifications::, • Bachelor's Degree in Civil/Environmental Engineering., • Three (3) to Seven (7) years of experience in landfill related engineering., • Strong verbal, written, computer communication and organization skills., • Ability to interact positively and effectively in a team environment., • Proficiency in Microsoft Office., • Ability to effectively manage multiple projects and meet deadlines., • Ability to read, analyze, and interpret business documents, professional journals, technical procedures, and governmental regulations., • Knowledge of AutoCAD Civil 3D a plus. Interstate Waste Services 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. Salary Range Minimum: USD $90,000.00/Yr.

Overview: Interstate Waste Services is the most progressive and innovative provider of solid waste and recycling services in the country! We primarily service Northern New Jersey, Southern New York State, New York City, Connecticut, with a state-of-the-art rail served landfill located in Ohio. We cater to a diverse range of residential, industrial and commercial customers. Our mission has always been to provide our customers with the highest quality waste, recycling and environmental services, while keeping focus on employee, customer and environmental safety. What makes our company culture unique is we have mastered the ability to balance the standards of a large corporate company while maintaining our small business family style culture. Essential Job Summary:: The Landfill Engineer positions will play a key role in ensuring the efficient operation of our landfill. In this position you will be part of landfill operations, regulatory permitting and compliance, construction, and environmental management systems. Essential Job Functions: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other minor duties may be assigned.: • Provide technical support on various landfill systems associated with the waste disposal site., • Develop an understanding of all permits governing the construction and operation of landfill disposal sites and waste transfer stations to ensure site is in compliance., • Work with professional consulting firms in preparation of compliance reports and permitting and construction documents., • Provide quality assurance of work submitted by consulting firms for adherence to regulatory requirements and site operations., • Landfill construction (cell and other) contract administration, materials order and delivery, contractor scheduling, CQA oversight, etc., • Manage the preparation, review, and/or submittal of engineering, monitoring and environmental reports., • Lead environmental reviews, audits, and inspections with regulators, customers and corporate., • Work with operations team to formulate short-term and long-term goals and action plans in alignment., • Identify and estimate the cost of site capital needs and follow-through with inclusion in annual budget exercises., • Interact with state and local agencies to foster positive working relationships and to insure efficient and effective compliance with regulations., • Review of waste profiles for adherence to our waste acceptance plan and coordination with our sales team operations teams for receipt of special waste., • Complete monthly soil tracking reports and other status reports. Requirements and Qualifications::, • Bachelor's Degree in Civil/Environmental Engineering., • Three (3) to Seven (7) years of experience in landfill related engineering., • Strong verbal, written, computer communication and organization skills., • Ability to interact positively and effectively in a team environment., • Proficiency in Microsoft Office., • Ability to effectively manage multiple projects and meet deadlines., • Ability to read, analyze, and interpret business documents, professional journals, technical procedures, and governmental regulations., • Knowledge of AutoCAD Civil 3D a plus. Interstate Waste Services 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. Salary Range Minimum: USD $90,000.00/Yr.

Overview: Interstate Waste Services is the most progressive and innovative provider of solid waste and recycling services in the country! We primarily service Northern New Jersey, Southern New York State, New York City, Connecticut, with a state-of-the-art rail served landfill located in Ohio. We cater to a diverse range of residential, industrial and commercial customers. Our mission has always been to provide our customers with the highest quality waste, recycling and environmental services, while keeping focus on employee, customer and environmental safety. What makes our company culture unique is we have mastered the ability to balance the standards of a large corporate company while maintaining our small business family style culture. Essential Job Summary:: The Landfill Engineer positions will play a key role in ensuring the efficient operation of our landfill. In this position you will be part of landfill operations, regulatory permitting and compliance, construction, and environmental management systems. Essential Job Functions: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other minor duties may be assigned.: • Provide technical support on various landfill systems associated with the waste disposal site., • Develop an understanding of all permits governing the construction and operation of landfill disposal sites and waste transfer stations to ensure site is in compliance., • Work with professional consulting firms in preparation of compliance reports and permitting and construction documents., • Provide quality assurance of work submitted by consulting firms for adherence to regulatory requirements and site operations., • Landfill construction (cell and other) contract administration, materials order and delivery, contractor scheduling, CQA oversight, etc., • Manage the preparation, review, and/or submittal of engineering, monitoring and environmental reports., • Lead environmental reviews, audits, and inspections with regulators, customers and corporate., • Work with operations team to formulate short-term and long-term goals and action plans in alignment., • Identify and estimate the cost of site capital needs and follow-through with inclusion in annual budget exercises., • Interact with state and local agencies to foster positive working relationships and to insure efficient and effective compliance with regulations., • Review of waste profiles for adherence to our waste acceptance plan and coordination with our sales team operations teams for receipt of special waste., • Complete monthly soil tracking reports and other status reports. Requirements and Qualifications::, • Bachelor's Degree in Civil/Environmental Engineering., • Three (3) to Seven (7) years of experience in landfill related engineering., • Strong verbal, written, computer communication and organization skills., • Ability to interact positively and effectively in a team environment., • Proficiency in Microsoft Office., • Ability to effectively manage multiple projects and meet deadlines., • Ability to read, analyze, and interpret business documents, professional journals, technical procedures, and governmental regulations., • Knowledge of AutoCAD Civil 3D a plus. Interstate Waste Services 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. Salary Range Minimum: USD $90,000.00/Yr.

Paid one on one training and education provided.Empower, engage and train dialysis patients on peritoneal and home hemodialysis using state of the art training programs and equipment.Primarily works in the clinic setting and conducts initial home visits with another staff member present.

Immediate Opportunities: Full-time Class A CDL Truck Drivers • Average $100000 annually, • Rotating schedule; 4 to 6-day work week, • Home weekly, • Driver referral bonus program up to $5000 per referral What you will do: • Linehaul from Rutherford, NJ, to Meadow View, VA, and back, • Loading and unloading required Schedule: • 6:00 AM dispatch time, • Regional route with 2 to 3 layovers weekly You will drive: • Late model, Penske-maintained trucks, • Best-in-class specs designed for comfort Comprehensive benefits package includes : • Paid vacation and holidays day 1, • Generous retirement benefits, • Excellent health care coverage-medical, dental, and vision, • Short and long-term disability; life and AD&D insurance, • Company-provided uniforms and safety footwear, • Employee discount benefit program, • Driver referral bonus program up to $5000 per referral, • Safety incentive program, • Premier Driver Recognition Program Our excellent benefits plan keeps associates and their families happy, healthy and secure. To learn more visit Why Penske? Ready to put your truck-driving career in high gear? Make the shift and fuel your career as a CDL Class A Truck Driver for Penske. When you join Penske, you join a team of professional truck drivers committed to delivering products safely and on time. And we’re proud to haul freight for some of the world’s leading brands. (Yes, we’re more than just the yellow trucks.) But it’s more than that. It’s about incredible customer service and building relationships with your accounts. When you drive for Penske, you’re representing Penske, but you’re also representing your clients. In fact, you’ll probably be driving their branded trucks and wearing their uniform. You’ll be on the move with Penske and so will your career. We have tons of training opportunities for you. And with locations across the nation, you can also move to a new city. Best of all, you’ll be with a stable, nationwide company that is known for having the best equipment, great management, clear communication and a fantastic safety record. We pay every Friday. Are you ready to take it to the next level? Come drive for Penske. Qualifications: • Valid Class A CDL required. Applicants must be domiciled in the U.S. and licensed in their state of residence, • Currently hold, or ability to obtain, a non-excepted interstate DOT medical card required, • 1 year of documented tractor-trailer experience in the last 3 years required, or 2 years of documented tractor-trailer experience in the last 5 years, • 3 years DMV/MVR record with two or fewer moving violations or accidents, • In order to be compliant with federal law (49 C.F.R. 391.11(b)(2)), this role requires English language proficiency., • Work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening required., • This position is regulated by the Department of Transportation or designated as safety sensitive by the company, and the ability to work in a constant state of alertness and in a safe manner is required. Associates must have the ability to accept responsibility for their own safety, as well as the safety of others. Physical Requirements: • The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • The associate must be able to see and hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus., • While performing the duties of this job, the associate will be required to move frequently, stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to lift and/or move up to 50lbs/23kg and may occasionally lift and/or move up to 100lbs/45kg., • The associate must be able to legally operate a motor vehicle and safely and frequently enter/exit the vehicle as well as the rear cargo area. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Driver Job Family: Drivers Address: 300 Howmedica Way Primary Location: US-NJ-Rutherford Employer: Penske Logistics LLC Req ID: 2512432

Immediate Opportunities: Full-time Local Class A CDL Truck Drivers • Average $91995 annually, • Home daily, • Driver referral bonus program up to $5000 per referral You will drive: • Late model, Penske Truck Leasing trucks, • Best-in-class specs designed for comfort What you will do: • Driver will deliver palletized products locally to a major pharmacy chain, • Touch freight required utilizing pallet jacks and a liftgate Schedule: • Monday through Friday with various start times, • 2 consecutive days off Comprehensive benefits package includes: • Paid vacation and holidays day one, • Generous retirement benefits, • Excellent health care coverage-medical, dental, and vision, • Short and long-term disability; life and AD&D insurance, • Company-provided uniforms, • Employee discount benefit program, • Driver referral bonus program up to $5000 per referral, • Safety incentive program, • Premier Driver Recognition Program Our excellent benefits plan keep associates and their families happy, healthy, and secure. To learn more visit Why Penske? Ready to put your truck-driving career in high gear? Make the shift and fuel your career as a CDL Class A Truck Driver for Penske. When you join Penske, you join a team of professional truck drivers committed to delivering products safely and on time. And we’re proud to haul freight for some of the world’s leading brands. (Yes, we’re more than just the yellow trucks.) But it’s more than that. It’s about incredible customer service and building relationships with your accounts. When you drive for Penske, you’re representing Penske, but you’re also representing your clients. In fact, you’ll probably be driving their branded trucks and wearing their uniform. You’ll be on the move with Penske and so will your career. We have tons of training opportunities for you. And with locations across the nation, you can also move to a new city. Best of all, you’ll be with a stable, nationwide company that is known for having the best equipment, great management, clear communication and a fantastic safety record. We pay every Friday, and for most of our driving positions, you’re home daily. Yes, daily. Are you ready to take it to the next level? Come drive for Penske. Qualifications: • Valid Class A CDL required. Applicants must be domiciled in the U.S. and licensed in their state of residence, • Currently hold, or ability to obtain, a non-excepted interstate DOT medical card required, • 1 year of documented tractor-trailer experience in the last 3 years required, or 2 years of documented tractor-trailer experience in the last 5 years, • 3 years DMV/MVR record with two or fewer moving violations or accidents, • Follow all federal and/or state laws, regulations, and/or agency rules, standards and guidelines, • Regular, predictable, full attendance is an essential function of the job, • In order to be compliant with federal law (49 C.F.R. 391.11(b)(2)), this role requires English language proficiency., • Work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening required, • This position is regulated by the Department of Transportation or designated as safety sensitive by the company, and the ability to work in a constant state of alertness and in a safe manner is required. Associates must have the ability to accept responsibility for their own safety, as well as the safety of others. Physical Requirements: The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must be able to see and hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus., • While performing the duties of this job, the associate will be required to move frequently, stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to regularly lift and/or move up to 50lbs/23kg and occasionally lift and/or move up to 100lbs/45kg., • The associate must be able to legally operate a motor vehicle and safely and frequently enter/exit the vehicle as well as the rear cargo area. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Driver Job Family: Drivers Address: 134 Van Keuren Ave Primary Location: US-NJ-Jersey City Employer: Penske Logistics LLC Req ID: 2511965

Powell Service Division is looking for a highly skilled and motivated Senior Service Technician interested in joining one of the nation’s leading providers of medium and low voltage switchgear. Powell Service Technicians are responsible for ensuring the end to end safety, quality and performance of Powell equipment across the US and Canada. This includes performing installations, preventative maintenance, corrective maintenance, and periodic supervision of small crews. The ideal candidate thinks critically, can work well independently, and is a problem solver. Senior service technicians are expected to service the west coast, gulf coast south, offshore and east coast service regions. Qualified Service Technicians are provided safety and technical training with full office support. Once qualified, Technicians are assigned a company vehicle, standard tooling, testing equipment, a laptop, smart phone, and company expense card. Key Responsibilities • Adhere to Powell’s current safety and quality standards, • Complete all site documentation in in a timely manner; including but not limited to, weekly time sheets, signed service and repair order, materials used and report writing., • Provide regular and clear communication regarding work schedule to Field Operations Scheduler and District Service Manager, • Maintain flexible work hours, which will include over time and periodic weekend support, • Comply with Powell ‘s standard operating procedures, documentation processes, safety processes and protocols., • Coordinate with Powell Project management, customers, vendors, and labor support in a professional and customer-centric manner, • Able to work in different roles from supporting the Manufacturing Department within house fabrication, to overseeing small crews on installation projects., • Switchgear and PCR installations, • DC / AC Switchgear, • Knowledge of Traction Power Systems, • Troubleshooting mechanical repair issues., • Perform performance testing on Powell equipment and components, including but not limited to; insulation testing (megger testing), Ductor, Hi Potential testing, torque tests and mechanical / functional testing., • Perform regular inspections of any issued vehicle or calibrated equipment/tools., • The Senior Service Technician must possess a high school diploma, as well as three or more years’ experience, as a shop and / or field electrical / technician., • Senior Service Technicians must exhibit knowledge of Electrical Industry manufacturing standards., • Specific standards include sections of ANSI IEEE C37 applicable to the design and manufacture of breakers and switchgear., • Specific knowledge of the following: ANSI IEEE device function numbers; ampacities of electrical conductors in switchgear applications; electrical air and surface creepage clearance requirements., • Demonstrate knowledge in the design and manufacture of bus and structural modification projects., • Powell also requires that all Service Technicians undergo Factory Certified Technician training and maintain a passing grade., • The Senior Service Technician must be experienced in the art of writing accurate and complete test reports, project summaries and has the ability to explain anomalies found on a given project., • Knowledge of basic electrical theory and control circuits i.e.: Ohm's Law; Basic AC and DC theory; contactor and circuit breaker schematics are a must., • The Senior Service Technician must be able to perform of hi-pot testing and breaker function testing. i.e.: testing of over-current and motor protection relays with current injection; acceptance testing of dielectric apparatus using over voltage testing; mechanical and electrical functional testing of circuit breakers and electrical switchgear., • The Senior Service Technician will also be expected to demonstrate proficiency with computer skills using Oracle, MS Outlook, Power DB, Word & Excel., • Additional requirements include but are not limited to:, • Working knowledge with using the following test equipment: Hi potential, DLRO, Multi-meter, dial caliper., • Must demonstrate working knowledge with the use of various hand tools and mechanical adaptability., • Must have verbal and written communication skills., • Proficiency in problem solving is a preferred., • Willing to attend in-house and out-side training., • Willing to travel up 85% of the year. The Senior Service Technician typically performs duties in an industrial environment. This position requires services both locally and across the Continental US. It is the policy of Powell Service Division to promote safe working conditions for ALL employees, to make available where necessary special equipment to protect employees against specific hazards, to reduce accidents through prevention programs and to establish rules that are designed for the safety of all. It is the responsibility of each employee to adhere to this policy, as well as to observe all safety practices and exercise every precaution for the safety of accidents. Physical Demands • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • While performing the duties of this job, the employee is regularly required to use hands to finger, handle, feel, carry or operate objects, tools or controls and reach with hands and arms., • The employee frequently is required to stand; talk or hear; walk; sit. Specific vision abilities required by this job include close vision and the ability to adjust focus., • Additional requirements are as follows:, • Medium physical effort (lifting/moving up to 50 pounds), • Have full range of mobility in upper and lower body and be able to work in various positions, including, but not limited to, stooping, standing, bending over, sitting, kneeling and squatting for extended periods of time., • Work at heights greater than 10’., • Work on ladders of all types. #LI-CAB In our 75+ year history, Powell has always known that our employees are at the heart of our success. Without question, we have the most talented people in all parts of our organization. As a manufacturer, we recruit and hire experienced and knowledgeable applicants to ensure our product is engineered, fabricated, and assembled to customer specifications! Powell’s culture has and will always be founded in our "can do" attitude. If we can imagine it, we can do it. Become a part of our story and let us help you write yours. Hard work pays off in all our teams, with opportunity for advancement and promotion without sacrificing work-life balance. Successful candidates must have a legal authorization to work in the United States on a full-time basis, with only those candidates selected for interview contacted. Powell offers comprehensive health insurance for you and your family, 401k savings, annual bonus potential, generous paid time off, professional development opportunities, company-sponsored wellness programs, and a collaborative work environment. EOE Protected Veterans/Disability If you need an accommodation in the hiring process, you may contact 713.378.2685. Application status inquiries will not be accepted in this manner.

Amazing Patients, Inspiring Careers Certified Registered Nurse Anesthetist - CRNA - Weill Cornell Medical Center - SIGN ON BONUS AVAILABLE At New York-Presbyterian Hospital, Certified Registered Nurse Anesthetists (CRNAs) deliver incredible care that is unseen anywhere else in the world. Our team of CRNAs at Weill Cornell provide patient-centered anesthesia for all types of surgical procedures, including cardiac, vascular, neurosurgery, pediatrics and obstetrics. Nurse Anesthetists administer general, regional and monitored anesthesia care for scheduled and emergency surgical, obstetric and diagnostic procedures. In addition to providing excellent care, our CRNA’s also provide one-on-one anesthesia instruction for Columbia University and Fairfield University’s Nurse Anesthesia Program. In April of 2018, we opened the state-of-the-art David H. Koch Ambulatory Surgery Center that has become the focal point of ambulatory surgery at New York-Presbyterian Hospital. In 2020, we expanded the DHK Ambulatory Center to house the Steven & Alexandra Cohen Women’s Hospital. Our CRNA’s have a continued commitment to providing patients with the most integrated and innovative patient care and use their expertise and top technology to consistently achieve surgical success rates and the nation’s lowest mortality rate. As a CRNA, you will enjoy flexible scheduling and a balanced caseload. You’ll work with the brightest minds in healthcare to make tomorrow better for countless human beings. This is your opportunity to experience shared clinical decision-making, inspirational leadership, supportive colleagues and much more This is a full-time position located at New York-Presbyterian/Weill Cornell Medical Center. We offer 8, 10, 13 and 24 hour shifts. There is a requirement to participate in a minimal amount of OB call. NEW GRADS ARE ENCOURAGED TO APPLY! • New Graduates orientation is available Preferred Criteria • At least 1 year of experience as a Certified Registered Nurse Anesthetist, • Doctor of Nursing Practice (DNP or DNAP) Required Criteria • Certification of Nurse Anesthetists, • Master's of Science in Nursing, • Current New York State RN license (or willingness to obtain), • BCLS Certification, • ACLS Certification #LI-CO1 Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today. Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP. NYP will not reimburse for travel expenses. • 2024 “Great Place To Work Certified”, • 2024 “America’s Best Large Employers” – Forbes, • 2024 “Best Places to Work in IT” – Computerworld, • 2023 “Best Employers for Women” – Forbes, • 2023 “Workplace Well-being Platinum Winner” – Aetna, • 2023 “America’s Best-In-State Employers” – Forbes Salary Range: $270,000-$335,000/Annual It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works. By applying, you consent to your information being transmitted by JobGet to the Employer, as data controller, through the Employer’s data processor SonicJobs. See NewYork-Presbyterian Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

B&B Trucking is committed to offering our drivers the best working environment with more home time, dedicated runs and a consistent schedule.We are a family run business and know that you value the importance of being with your loved ones.Our trucks are safe, reliable and feature state of the art te

Senior Manager, AI Engineering (People Leader) (GenAI Platform Services) Overview: 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. Team Description: 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. In this role, you will: * 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. * 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. * Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. * 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. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 1 year of people leadership experience Preferred Qualifications: * 3 years of experience managing and leading an engineering team * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $204,900 - $233,800 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, AI Engineering (People Leader) Overview: 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. Team Description: 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. In this role, you will: * 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. * 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. * Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. * 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. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 1 year of people leadership experience Preferred Qualifications: * 3 years of experience managing and leading an engineering team * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Jose, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (LLM Core) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations, LLM Core, Agentic AI) 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer (People Leader) Capital One's Digital Commerce & Innovation organization is seeking a Machine Learning Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. New York, NY: $245,900 - $280,600 for Sr. Mgr, Machine Learning Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: * Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. * Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. * Fine-tune, develop and evaluate machine learning and foundation models, * Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities * Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. * Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. * Retrain, maintain, and monitor models in production. * Construct optimized data pipelines to feed ML models. * 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. The Ideal Candidate: * 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. * You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. * Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Go, Scala, or Java * At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: * 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 * 6 years of experience designing, developing, delivering, and supporting AI services at scale * 3 years of experience developing AI and ML algorithms or technologies using Python * 2 years of experience with Retrieval Augmented Generation (RAG) * Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) 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. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations, LLM Core) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (FM Hosting, LLM Inference) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations, LLM Core) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).