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The Opportunity As a Field Technology Project Manager, you’ll play a key role in shaping and delivering technology initiatives that empower our field organization. You’ll combine your business acumen and technical expertise to drive strategic projects that enhance advisor productivity and strengthen our field technology ecosystem. You’ll partner across business and technology teams to identify opportunities, manage large-scale projects, and deliver efficient, high-quality solutions that align with company priorities. In every aspect of the role, you’ll demonstrate accountability, agility, inclusion, curiosity, and strong communication — showing the courage to lead through change and drive meaningful results. The Team You’ll be part of the Field Technology Experience (FTX) team — a collaborative group focused on the strategy, delivery, and adoption of field-facing technology solutions. The team partners closely with home office technical teams, business leaders, third-party vendors, and field partners to deliver projects that meet business objectives and adhere to quality and security standards. Your extended team includes: • Field Technology relationship managers who ensure successful implementation across the field., • Learning and Performance Consultants who support adoption and training efforts., • Content and Data Managers, Developers, and Web Consultants who maintain our field portal and reporting tools. This cross-functional structure ensures that our technology delivers meaningful value to advisors and field leaders across the country. The Impact: • Lead and manage the delivery of small to mid-size technology projects from initiation through implementation, ensuring alignment with strategic objectives., • Oversee the Field Technology Experience roadmap, managing capability delivery and vendor partnerships., • Collaborate with internal teams and external partners to ensure timely, high-quality project execution., • Help translate business goals into actionable technology requirements and implementation plans., • Serve as a Subject Matter Expert for field technology, bridging business needs and technical capabilities., • Use data and analytics to identify trends, optimize performance, and inform decision-making., • Communicate progress, risks, and outcomes clearly to technical and non-technical audiences. Key Responsibilities: • Manage the full lifecycle of field technology projects — from concept through execution — ensuring scope, schedule, and budget alignment., • Partner with cybersecurity, data, and compliance teams to maintain high standards of security and governance., • Lead and influence cross-functional teams across the enterprise, including vendor management and integration efforts., • Build and maintain strong relationships across business lines, inspiring collaboration and accountability., • Identify process improvement opportunities and champion innovative solutions., • Motivate and guide teams to deliver outcomes that support both field and enterprise goals. The Minimum Qualifications • Bachelor’s degree (preferably in Computer Science, Information Technology, or a related field)., • 3+ years of experience managing and executing small to mid-size, complex projects in financial services or a similar industry. The Ideal Qualifications • Experience with protection and wealth distribution platforms and field technology solutions., • Proven success leading cross-functional project teams and managing vendor relationships., • Strong understanding of data, technology, and cybersecurity concepts., • Experience presenting to and influencing a range of audiences, from senior executives to technical teams., • Excellent communication, relationship management, and leadership skills., • Strong analytical and problem-solving skills with a focus on data-driven decision-making., • Demonstrated ability to work independently and manage multiple priorities in a fast-paced environment., • Experience working collaboratively with technical roles such as engineers, developers, and data scientists., • Deep curiosity and willingness to challenge the status quo to drive better results. #LI-SC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our ___ page.

The Opportunity This is an exciting opportunity for a highly motivated and collaborative risk professional with strong quantitative and development expertise to join the Credit Risk Management team within the Capital and Investment Risk Management team and the broader Enterprise Risk Management division. As a quantitative risk developer within the Capital & Investment Risk Management team, you will be responsible for leading quantitative model implementation, development, and analysis. The ideal candidate will join a quant team to enhance Enterprise Risk Management (ERM)’s analytical and reporting capabilities, by expanding the use of existing models as well as designing and developing new tools and risk frameworks. You will work with capital, credit, market and portfolio risk teams, and ERM more broadly. This is an excellent opportunity to collaborate with risk, investment and finance, and enterprise technology (including data science) teams. The Team The Capital & Investment Risk team brings together a diverse team of experts across capital markets, risk management, actuarial, and quantitative disciplines that works together to deliver analysis and recommendations related to the management of credit, market, liquidity and capital risk, consistent with the enterprise risk appetite framework for which the team is also responsible. The team continues to be successful in driving improvements in tools, technology and processes, for more consistent risk analysis and reporting, and enabling greater opportunities for scale and efficiency within ERM and with stakeholders in Investment Management and Finance. The Impact * In this role, you will play a critical part in ensuring company’s credit risks are effectively identified, measured and mitigated, by bringing your deep analytical expertise and strong understanding of credit risk/ investment risk modeling, data and infrastructure. * Your work will help shape robust, data-driven decision-making across risk and investment areas and influence MassMutual’s evolving business strategy and operating environment. * You will partner with your peers in driving improvements in tools, technology and processes, for more consistent risk analysis and reporting, and enabling greater opportunities for scale and efficiency within ERM and with stakeholders in Investment Management and Finance. * There is a strong emphasis on innovation, with growing opportunity to apply AI-driven techniques and scalable data solutions to drive more forward-looking, efficient risk analytics that embrace emerging technologies. * The key to success in this role is a sharp analytical mindset, the ability to translate complex risk metrics into actionable insights, and a strong partnership approach with stakeholders across risk, investment management, finance, and technology. Notable responsibilities include: * Implement, develop and enhance ERM’s analytical capabilities related to credit/market risk across a wide range of fixed income asset classes * Building on MassMutual’s current approach, assist in developing and syndicating a comprehensive framework for measuring portfolio credit & market risk, that considers different accounting and capital regimes, including asset and liability impacts, with a particular emphasis on economic capital * Automate and expand the use of Moody’s credit risk tools in place today and build risk- reward framework * Use of Python/ SQL. Also, use of spreadsheets and VBA to prototype and analyze data including data investigation/cleanup * Strengthen ERM’s use and development of tools and analytics to support derivatives counterparty risk, portfolio concentration risk & stress testing capabilities * Mentor junior quantitative analysts * Scope and implement modeling, including building out requirements where not yet fully defined or understood. * The right candidate will be agile, accountable and resilient in driving initiatives and the results The Minimum Qualifications * Bachelors degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering or similar quantitative discipline * Minimum 8 years of relevant work experience with 5 years in investment (credit/market) quantitative risk analytics OR 5 years of relevant work experience in investment (credit/ market) quantitative risk analytics combined with graduate studies * 5+ years of experience with expertise in Python, SQL and development skills in object-oriented programing * 5+ years of experience with strong quantitative model development & implementation skills and ability to validate/understand and explain analytical results * 5+ years of experience in quantitative risk modeling across a wide range of asset classes * 3+ years of experience with ability to engage with operational work in production environment with IT developers/solution architects in maintaining infrastructure * 5+ years of experience with quantitative and programming skills in a hands-on setting to deliver new functionality The Ideal Qualifications * 7+ years of relevant work experience in investment (credit/market) quantitative risk analytics is desirable * Advanced degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering or similar quantitative discipline is preferred * Knowledge and experience working with derivatives and hedging risk management * Experience in using Moody’s Analytics credit risk tools is desirable. * Experience in CECL compliant portfolio credit models * Experience applying machine learning techniques in the financial industry is desirable * Software development using GitHub and Docker, adhering to enterprise standards and best practices ensuring models are validated and governed * Previous experience working on liability-driven investing projects within an insurance company is desirable What to Expect as Part of MassMutual and the Team * Regular meetings with the Quantitative teams within ERM, Investment management & ETX project teams * Focused one-on-one meetings with your manager * Networking opportunities including access to Asian, Hispanic/ Latinx, African American, women, LGBTQ, Veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a string and stable ethical business with industry leading pay and benefits #LI-ST1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our ___ page.

Associate, Credit Risk, Liberty Street, New York, NY Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! Job Description The Difference You Make: We are seeking a motivated and analytical Associate to support the implementation of credit strategies and models within decision engine platform for Santander US Unsecured lending portfolio. In this role, you will work closely with credit risk, data science, and technology teams to operationalize and maintain decision logic that drives automated approvals, credit policies, models and customer lifecycle decisions. This is a critical role to ensure strategic decisions are accurately translated into system logic for real-time execution. Strategy Implementation * Translate business and risk strategies into decision engine logic using defined rules, conditions, and configurations. * Collaborate with credit policy, analytics, model development and product teams to understand strategic intent and ensure accurate deployment in decision systems. * Support testing, validation, and monitoring of decision strategies prior to and post-production implementation. * Maintain documentation of decision logic, rule flows, change history, and approval workflows. Testing & Validation * Design and execute test plans to ensure decision rules perform as intended. * Partner with QA, technology, and analytics teams to validate outputs and ensure alignment with risk frameworks. * Identify and troubleshoot issues in rules logic or system behavior and recommend corrective actions. * Conduct thorough testing of the consumer lending processing system, including ___, ___, and ___. * Identify and document ___ and issues encountered during testing. * Participate in ___ and ___. Performance Monitoring * Support tracking of decision engine performance, including KPIs like approval rates, automation rates, and error rates. * Work with analytics and reporting teams to assess the impact of strategy changes and recommend refinements. * Ensure decision logic aligns with regulatory guidelines and internal governance policies. Cross-functional Collaboration * Coordinate with internal stakeholders across risk, product, technology, operations, and compliance. * Participate in regular strategy reviews and platform enhancement discussions. * Assist with audits and governance reviews by preparing documentation and providing data or system insights. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. * Bachelor's Degree in Business, Finance, Computer Science, Engineering, or related field. - Required. * Master's Degree in Business, Finance, Computer Science, Engineering, or related field . - Preferred. * 5+ Years Risk Management, Credit Risk, or Internal Audit - Required. * 5+ Years Financial Services industry experience. - Required. * 1+ Years Experience in ___ or ___ roles. - Required * Experience with decision engines such as FICO , Experian PowerCurve, or Provenir. * Basic understanding of consumer credit risk, models, lending policies, and/or financial products. * Experience working in a financial institution or fintech environment. * Strong analytical and problem-solving skills with attention to detail. * Proficiency in Excel; familiarity with SQL, Python, or other analytics tools is a plus. * Excellent written and verbal communication skills. Preferred Skills: * Exposure to agile delivery environments and product/strategy deployment cycles. * Understanding of model-driven decisioning and A/B testing frameworks. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $76,875.00 USD Maximum: $130,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: New York, NY, New York Other Locations: New York-New York Organization: Santander Bank N.A.

The Opportunity At MassMutual, we’re more than life insurance – we’re a leading financial services company committed to helping people secure their future and protect what matters most. As a Project Manager in Data Science & AI Engineering, you’ll lead the delivery of AI and data-driven solutions by managing scope, timelines, and stakeholder expectations across multiple, concurrent projects. You’ll partner closely with data scientists, AI engineers, and product managers to ensure projects run smoothly and deliver measurable impact. Your ability to understand technical concepts and anticipate risks, resolve challenges, and maintain alignment will be critical to driving successful outcomes. The Team Our Data Science & AI Engineering team is driving innovation through machine learning and AI-powered solutions – including generative AI and emerging agentic AI approaches – that transform how we deliver value across the enterprise. We work in high-caliber, product-focused teams that thrive on collaboration, curiosity, and diversity of thought. If you’re passionate about driving meaningful change, love working with brilliant minds, and want to see your work make a real impact, this is the place for you. This role is ideal for someone who excels at managing technically complex initiatives and ensuring seamless execution across multiple teams and priorities. The Impact: • Manage the delivery of a portfolio of AI and data science projects from planning through implementation., • Coordinate across technical and non-technical teams to manage dependencies and ensure clarity of requirements., • Lead agile ceremonies - scrums, sprint planning, retrospectives – while driving accountability., • Help stakeholders understand what’s possible with AI and translate that into actionable project requirements., • Manage complexity - budget, timelines, scope, and stakeholder expectations., • Proactively identify risks and mitigation strategies, navigating ambiguity with confidence. The Minimum Qualifications • Bachelor’s degree, • 8+ years of experience in a technical field (this can be a combination of academic, research-based, or professional environment)., • 4+ years of experience managing technical projects in Agile environments., • 2+ years of experience managing data science or AI projects. The Ideal Qualifications • Education: Master’s degree (preferred) in business, computer science, engineering, or other applicable discipline., • Experience: Proven success delivering projects involving data science or AI., • Skills:, • Advanced proficiency with project management tools (JIRA, Confluence) and Agile frameworks., • Strong ability to synthesize technical details into clear plans and executive-level communications., • Demonstrated leadership in driving accountability and fostering collaboration., • Mindset:, • Outcome-oriented and highly adaptable., • Skilled at influencing without authority and building trust across diverse teams., • Thrives in fast-paced, evolving environments. What to Expect as Part of MassMutual and the Team • Regular collaboration with the Data Science & AI Engineering - Technology, Enterprise Services, and Security Team, • Focused one-on-one time with your manager, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-RK1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our ___ page.

Overview Provides clinical leadership to promote increased compliance with a range of quality and cost measures and standards of care. Manages service delivery of inter-professional and para-professional team members working on an individual case or population of cases. Acts as a key resource in providing clinical and operational guidance and support to assigned teams and other staff to achieve and enhance team outcomes. Provides advanced nursing clinical care for patients in accordance with current State and Federal rules and regulations for nurse practitioner's scope of practice and national standards of care. Works under the supervision of the Clinical Director for the Nurse Practitioner Program. What We Provide * Personal and financial wellness programs * Opportunities for professional growth and career advancement * Internal mobility and advancement opportunities * Interdisciplinary network of colleagues through the VNS Health Social Services Community of Professionals What You Will Do * Manages and provides full scope of advanced nursing practice for targeted patient populations. Evaluates patient responses to therapy / interventions. Ensures revision of the inter-professional plan of care as necessary to achieve quality outcomes. * Identifies need for new/revised clinical protocols. Collaborates with physicians and others within the practice to develop protocols and provides training as appropriate. * Manages and provides comprehensive advanced nursing care including physical examination, comprehensive history, screening for physical and/or psychological conditions, emergent interventions, pharmacological and non-pharmacological interventions, ordering treatments and DME, preventative health maintenance activities, care management, referrals, discharge planning, counseling and patient education. Establishes a treatment plan based on clinical findings and. Determines when further evaluation by collaborating physician, specialist or emergency care is warranted. * Collaborates with patients, families, primary care physicians and other team members to provide assessment and care planning. Assesses, plans, and provides intensive and continuous care management across client settings. * Manages and provides clinical services in compliance with standards of Patient-Centered Medical Home standards, meaningful use of medical record data, HEDIS and QARR quality of care measurements. Qualifications Licenses and Certifications: • License and current registration to practice as a Registered Professional Nurse in New York State required, • Certificate (license) and current registration to practice as a Nurse Practitioner in the State of New York, with a specialty in adult health, family health or gerontology required, • Valid driver's license, as determined by operational/regional needs may be required, • Maintains credentialed status with VNS Health Medical Care at Home and associated managed care plans required, • Maintains NPI, Medicaid and Medicare provider numbers preferred, • Maintains a collaborative practice agreement with a physician in compliance with New York State regulations preferred, • Must be certified by ANCC or another accrediting Nurse Practitioner body – in order to bill Medicare and meet credentialing requirements required, • For Psychiatric Nurse Practitioners only:, • Current PMHNP-BC certification required Education: • Master's Degree of Science in Nursing, or other graduate degree from a nurse practitioner educational program registered by the New York State Education Department as qualifying for NP certification (licensure) required, • Current ANCC or AANP certification as an adult, family or geriatric nurse practitioner required, • For Psychiatric Nurse Practitioners only:, • Master's Degree in psychiatric-mental health Nurse Practitioner required, • PhD in psychiatric-mental health Nurse Practitioner preferred Work Experience: • Minimum of two years of experience as a nurse practitioner utilizing full scope of practice preferred, • Clinical home care experience or two years managerial experience preferred, • Demonstrated knowledge of Hedis and QARR quality measures, ICD-10 and CPT coding for reimbursement of services required, • Bilingual skills, as determined by operational needs required Pay Range USD $58.30 - USD $77.72 /Hr. About Us VNS Health is one of the nation’s largest nonprofit home and community-based health care organizations. Innovating in health care for more than 130 years, our commitment to health and well-being is what drives us — we help people live, age and heal where they feel most comfortable, in their own homes, connected to their family and community. On any given day, more than 10,000 VNS Health team members deliver compassionate care, unparalleled expertise and 24/7 solutions and resources to the more than 43,000 “neighbors” who look to us for care. Powered and informed by data analytics that are unmatched in the home and community-health industry, VNS Health offers a full range of health care services, solutions and health plans designed to simplify the health care experience and meet the diverse and complex needs of the communities and people we serve in New York and beyond.

Senior Manager, MED RWE/Epi Scientist Role Summary The Senior Manager, RWE/Epi Scientist, position within Medical Evidence Development (MED) Real-World Evidence & Epidemiology (RWE/Epi) provides an opportunity for a collaborative epidemiologist to support real-world evidence and epidemiologic studies as part of Medical strategy across the entire drug development process. The candidate will be responsible for synthesizing the literature and contributing to the design, conduct and reporting of global epidemiologic research studies on Pfizer I&I products. The Senior Manager will also be accountable for the quality, timeliness, and efficiency of all RWE/Epi deliverables in assigned product/disease area, and maintain an internal network of Pfizer stakeholders to cultivate innovation, cross-functional collaboration, and identify new opportunities for RWE/Epi to increase the value of Pfizer assets. The candidate will develop external partnerships to leverage data resources and collaboration on high priority global studies. Responsibilities include authoring and reviewing study protocols, reports, and presentations, as well as communication in writing and presentations to internal stakeholders, regulatory authorities, and medical professionals. The candidate will also be responsible for non-study deliverables such as RWE insights, epidemiology literature reviews, regulatory responses, and department initiatives. This position will report directly to the Hem-Onc Team Lead in RWE/Epi. Capabilities * Skill and experience identifying, designing and supporting or leading real-world evidence studies of disease epidemiology and effectiveness as part of the global cross-functional Integrated Evidence Plan. * Maintain knowledge and awareness of internal and external data resources and identify appropriate studies for addressing questions of interest, recognizing the limitations and strengths of various design options and data sources * Partner with Chief Medical Office colleagues to address asset team evidence needs and support global regulatory submissions to the FDA, EMA and other agencies. * Deliver rapid insights from real-world, observational data source * Develop and deliver presentations, webinars, manuscripts, scientific data packages or other communication modalities * Assure the highest standards of quality, compliance and management of all research activities * Participate in RWE/Epi peer review of study protocols and study reports * Document all requests and track progress toward project completion, other metrics and business goals Qualifications * PhD in Epidemiology, Statistics/Biostatistics, Health Outcomes Research, Quantitative Methods, Public Health, Health Economics, or Other Biological Science fields with a substantial quantitative component and at least 1 years of relevant experience in the pharmaceutical, academic and/or medical environment; or, MPH or another relevant Master’s degree and at least 5 years of experience in the pharmaceutical, academic and/or medical environment, at least 1 of which were in the pharmaceutical industry. * Demonstrated strong quantitative skills and methods expertise to generate rapid insights from real-world / observational data source * Demonstrated strong technical writing skills and oral presentation skills with a track-record of publishing in peer-reviewed journals and presenting at medical/scientific conferences * Demonstrated ability to convert complex analysis into meaningful insights with data visualization and presentation tools and able to manipulate and analyze complex structured and unstructured data from multiple real world evidence sources. * Ability to work under pressure with a high level of autonomy/leadership on research projects and collaborate with multiple partners in a matrixed environment * Knowledgeable of the external regulatory environment for real-world evidence and maintains awareness of scientific developments in epidemiology, medicine, and technology (e.g., artificial intelligence). Bonus Points If You Have (Preferred Requirements): * Proficiency in rapid real-world data analytical platforms * Experience working with real-world data (RWD) including Electronic Medical Records (EMR), claims, and surveys * Excellent problem-solving and decision-making abilities * Ability to influence and collaborate with senior management and stakeholders * Strong project management skills with the ability to handle multiple projects simultaneously Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PHYSICAL/MENTAL REQUIREMENTS Lifting, sitting, standing, walking, bending, ability to perform mathematical calculations and ability to perform complex data analysis. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed. OTHER JOB DETAILS * Last Date to Apply for Job: December 29, 2025 * Eligible for Relocation Package: No The annual base salary for this position ranges from $135,100.00 to $225,100.00.* In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. • The annual base salary for this position in Tampa, FL ranges from $121,600.00 to $202,600.00. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

POSITION SUMMARY You will be responsible for scientific oversight, data integrity and quality of clinical trial(s) in support of the development strategy for programs within the Late-Stage Oncology portfolio. KEY RESPONSIBILITIES • Clinical development expert for assigned studies maintaining current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment. Effectively partner with other clinical and medical colleagues, clinical operations and other functional lines for the successful implementation and execution of the clinical trial(s) within the assigned program. * Responsible for scientific oversight, data integrity and quality of the clinical trial(s). * Represent the study team in governance meetings and submissions, partners with/supports the Development lead/Medical Director regarding study and disease area strategy. * Author protocols, study level informed consent documents, and contributes to authoring of IBs, site training materials, clinical study reports, regulatory responses, and other clinical and regulatory documents; supports preparations for Health Authority meetings, participates as appropriate. * Set the clinical data review strategy and leads the team in the collection of quality data and review of emerging clinical data and trends; reviews and queries data; presents and discusses relevant data to appropriate teams, governance bodies, and other internal and external stakeholders. * In close partnership with medically qualified colleague/s, analyze the emerging safety profile of the drug, keeping the clinical and safety colleagues informed of changes in the safety profile as they occur in the assigned trial(s). * Follow relevant SOPs and regulations, has an excellent understanding of and complies with applicable trainings, seeks opportunities to further improve quality and efficiency of clinical procedures; leads or actively participates in portfolio- and enterprise level workgroups aimed at optimizing PFE clinical development procedures; may be a subject matter expert or business process owner for a relevant SOP or procedure. MINIMUM QUALIFICATIONS * PhD/Pharm D in a relevant Science discipline and minimum of 2 years Clinical Research experience in industry/CRO, OR * MS in a relevant Science discipline and minimum of 5 years of Clinical Research experience in industry/CRO OR * BA/BS in a relevant Science discipline and minimum of 7 years Clinical Research experience in a similar role in industry/CRO * Clinical Research experience in the phase 3/pivotal space in Oncology, ideally on the side of the sponsor and with a track record of successful regulatory submission, inspection, and regulatory approval. * Excellent knowledge of clinical procedures, ICH guidelines, GCP and familiarity with FDA, EMA, and global regulations. * Extensive understanding of related disciplines, e.g., Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-clinical, Pharmacology, Quality Assurance. * Experience working on large data sets. * Proficiency with Microsoft Office and relevant scientific software * Effective communication, presentation, and organizational skills to ensure coordinated and timely delivery. * Experience leveraging a variety of communication tools and techniques to communicate results * Experience solving problems collaboratively and handling conflict constructively. * Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations. * Experience working proactively and independently, organizing tasks, time and priorities of self and others. * Experience building partnerships across the company to achieve the needs of the program. PREFERRED QUALIFICATIONS * Experience in Hematology Oncology COMPETENCIES FOR SUCCESS * Demonstrates passion for helping patients with cancer and for the science of oncology. * Flexibility to adapt and navigate through an ever-changing work environment while maintaining integrity and quality in the work assigned. * Demonstrates autonomous delivery, problem-solving, and agile decision-making in execution of Clinical responsibilities. * Promotes team health and exemplifies Pfizer’s leadership behaviors and actionable attitudes. * Leverages knowledge and support from others related to overall objectives, strategy, critical issues, and policies. * Demonstrates foresight and judgment to make complex decisions * Promotes innovation and takes appropriate risks to challenge the status quo in order to enhance the efficiency of current processes. * Embraces evolving technologies and adopts best practices aimed at improving the efficiency and quality of clinical development * Has a global perspective and mindset. Works well in a diverse team environment with colleagues from diverse cultures, backgrounds, and geographies. both as a leader and a key contributor Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: This is a Hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. The annual base salary for this position ranges from $135,100.00 to $225,100.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

POSITION SUMMARY You will be responsible for scientific oversight, data integrity and quality of clinical trial(s) in support of the development strategy for programs within our Late-Stage Oncology portfolio. KEY RESPONSIBILITIES * Clinical development expert for assigned studies maintaining current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment. * Effectively partner with other clinical and medical colleagues, clinical operations and other functional lines for the successful implementation and execution of the clinical trial(s) within the assigned program. * Responsible for scientific oversight, data integrity and quality of the clinical trial(s). * Represent the study team in governance meetings and submissions, partners with/supports the Development lead/Medical Director regarding study and disease area strategy. * Author protocols, study level informed consent documents, and contributes to authoring of IBs, site training materials, clinical study reports, regulatory responses, and other clinical and regulatory documents; supports preparations for Health Authority meetings, participates as appropriate. * Set the clinical data review strategy and leads the team in the collection of quality data and review of emerging clinical data and trends; reviews and queries data; presents and discusses relevant data to appropriate teams, governance bodies, and other internal and external stakeholders. * In close partnership with medically qualified colleague/s, analyze the emerging safety profile of the drug, keeping the clinical and safety colleagues informed of changes in the safety profile as they occur in the assigned trial(s). * Follow relevant SOPs and regulations, has an excellent understanding of and complies with applicable trainings, seeks opportunities to further improve quality and efficiency of clinical procedures; leads or actively participates in portfolio- and enterprise level workgroups aimed at optimizing PFE clinical development procedures; may be a subject matter expert or business process owner for a relevant SOP or procedure. MINIMUM QUALIFICATIONS * PhD/Pharm D in a relevant Science discipline and minimum of 5 years Clinical Research experience in industry/CRO, OR * MS in a relevant Science discipline and minimum of 7 years of Clinical Research experience in industry/CRO OR * BA/BS in a relevant Science discipline and minimum of 10 years Clinical Research experience in a similar role in industry/CRO * Clinical Research experience in the phase 2 - 3/pivotal space in Oncology, ideally on the side of the sponsor and with a track record of successful regulatory submission, inspection, and regulatory approval * Excellent knowledge of clinical procedures, ICH guidelines, GCP and familiarity with FDA, EMA, and global regulations * Extensive understanding of related disciplines, e.g., Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-clinical, Pharmacology, Quality Assurance * Experience working on large data sets * Proficiency with Microsoft Office and relevant scientific software * Effective communication, presentation, and organizational skills to ensure coordinated and timely delivery * Experience leveraging a variety of communication tools and techniques to communicate results * Experience solving problems collaboratively and handling conflict constructively * Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations * Experience working proactively and independently, organizing tasks, time and priorities of self and others * Experience building partnerships across the company to achieve the needs of the program PREFERRED QUALIFICATION * Experience leading a team COMPETENCIES FOR SUCCESS * Demonstrates passion for helping patients with cancer and for the science of oncology * Flexibility to adapt and navigate through an ever-changing work environment while maintaining integrity and quality in the work assigned * Demonstrates autonomous delivery, problem-solving, and agile decision-making in execution of Clinical responsibilities * Promotes team health and exemplifies Pfizer’s leadership behaviors and actionable attitudes * Leverages knowledge and support from others related to overall objectives, strategy, critical issues, and policies * Demonstrates foresight and judgment to make complex decisions * Promotes innovation and takes appropriate risks to challenge the status quo in order to enhance the efficiency of current processes * Embraces evolving technologies and adopts best practices aimed at improving the efficiency and quality of clinical development * Has a global perspective and mindset. Works well in a diverse team environment with colleagues from diverse cultures, backgrounds, and geographies. both as a leader and a key contributor Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week The annual base salary for this position ranges from $169,700.00 to $282,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

. POSITION SUMMARY You will be responsible for scientific oversight, data integrity and quality of clinical trial(s) in support of the development strategy for programs within the Late-Stage Oncology portfolio. KEY RESPONSIBILITIES • Clinical development expert for assigned studies maintaining current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment., • Effectively partner with other clinical and medical colleagues, clinical operations and other functional lines for the successful implementation and execution of the clinical trial(s) within the assigned program., • Responsible for scientific oversight, data integrity and quality of the clinical trial(s)., • Represent the study team in governance meetings and submissions, partners with/supports the Development lead/Medical Director regarding study and disease area strategy., • Author protocols, study level informed consent documents, and contributes to authoring of IBs, site training materials, clinical study reports, regulatory responses, and other clinical and regulatory documents; supports preparations for Health Authority meetings, participates as appropriate., • Set the clinical data review strategy and leads the team in the collection of quality data and review of emerging clinical data and trends; reviews and queries data; presents and discusses relevant data to appropriate teams, governance bodies, and other internal and external stakeholders., • In close partnership with medically qualified colleague/s, analyze the emerging safety profile of the drug, keeping the clinical and safety colleagues informed of changes in the safety profile as they occur in the assigned trial(s)., • Follow relevant SOPs and regulations, has an excellent understanding of and complies with applicable trainings, seeks opportunities to further improve quality and efficiency of clinical procedures; leads or actively participates in portfolio- and enterprise level workgroups aimed at optimizing PFE clinical development procedures; may be a subject matter expert or business process owner for a relevant SOP or procedure. MINIMUM QUALIFICATIONS • PhD/Pharm D in a relevant Science discipline and minimum of 5 years Clinical Research experience in industry/CRO, OR, • MS in a relevant Science discipline and minimum of 7 years of Clinical Research experience in industry/CRO OR, • BA/BS in a relevant Science discipline and minimum of 10 years Clinical Research experience in a similar role in industry/CRO, • Clinical Research experience in the phase 3/pivotal space in Oncology, ideally on the side of the sponsor and with a track record of successful regulatory submission, inspection, and regulatory approval, • Excellent knowledge of clinical procedures, ICH guidelines, GCP and familiarity with FDA, EMA, and global regulations, • Extensive understanding of related disciplines, e.g., Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-clinical, Pharmacology, Quality Assurance, • Experience working on large data sets, • Proficiency with Microsoft Office and relevant scientific software, • Effective communication, presentation, and organizational skills to ensure coordinated and timely delivery, • Experience leveraging a variety of communication tools and techniques to communicate results, • Experience solving problems collaboratively and handling conflict constructively, • Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations, • Experience working proactively and independently, organizing tasks, time and priorities of self and others, • Experience building partnerships across the company to achieve the needs of the program PREFERRED QUALIFICATIONS • Experience in Hematology Oncology COMPETENCIES FOR SUCCESS • Demonstrates passion for helping patients with cancer and for the science of oncology, • Flexibility to adapt and navigate through an ever-changing work environment while maintaining integrity and quality in the work assigned, • Demonstrates autonomous delivery, problem-solving, and agile decision-making in execution of Clinical responsibilities, • Promotes team health and exemplifies Pfizer’s leadership behaviors and actionable attitudes, • Leverages knowledge and support from others related to overall objectives, strategy, critical issues, and policies, • Demonstrates foresight and judgment to make complex decisions, • Promotes innovation and takes appropriate risks to challenge the status quo in order to enhance the efficiency of current processes, • Embraces evolving technologies and adopts best practices aimed at improving the efficiency and quality of clinical development, • Has a global perspective and mindset. Works well in a diverse team environment with colleagues from diverse cultures, backgrounds, and geographies. both as a leader and a key contributor Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. The annual base salary for this position ranges from $169,700.00 to $282,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

We offer a competitive hourly rate plus a monthly performance bonus tied to your production and clinical excellence. Our top-earning Lead Hygienists make up to $77/hour in NYC, combining base pay and bonus potential — with clear goals, transparency, and the support to help you thrive. As a Lead Dental Hygienist at Tend, you’ll do more than deliver top-tier preventive care — you’ll also set the standard for hygiene excellence in your studio. You’ll model best practices for patient care, mentor and coach fellow hygienists and hygiene assistants, and collaborate with dentists and operations leaders to drive both clinical and business success. You’ll still treat a well-booked schedule of patients in our Team (Assisted) Hygiene model, while also guiding protocols, training, and continuous improvement for the hygiene team. At Tend, we’re committed to fostering a diverse, inclusive environment where both our patients and our teams feel respected, represented, and truly cared for. Our model is built for driven hygienist leaders: those who value autonomy, inspire others, and take pride in building a culture of high-performance care. What You’ll Do • Deliver comprehensive preventive and periodontal care — including prophylaxis, periodontal maintenance, scaling and root planing (SRP), gingivitis scaling, oral cancer screenings, Itero scans, sealants, Zoom whitening, Perio Protect, Curodont, fluoride treatments, and patient education — all in alignment with evidence-based clinical guidelines, • Provide leadership and mentorship to hygienists and hygiene assistants, setting expectations, coaching performance, and ensuring adherence to Tend’s clinical standards, • Collaborate with dental assistants to optimize studio-wide hygiene flow, sterilization protocols, and room turnover efficiency, • Partner with dentists on exams and treatment planning, reinforcing comprehensive care and seamless handoffs for patients, • Proactively drive hygiene production across the team by identifying opportunities, supporting same-day treatment acceptance, and monitoring key metrics, • Lead regular hygiene team meetings, provide feedback, and champion CE opportunities and professional development for the hygiene team, • Partner closely with studio managers and doctors to ensure the hygiene department is meeting patient care, quality, and business objectives You embody our Tend values and elevate them as a leader — setting the example for patients, teammates, and the hygiene team. Tend Values • Tend to Others – Foster exceptional patient experiences and a collaborative team culture, • Be Brave Enough to Lead – Model integrity and accountability, and empower others to do the same, • Savor the Ride – Celebrate wins, bring positivity, and keep the team motivated in a fast-paced environment, • Embrace Our Differences – Promote inclusivity and respect in every interaction, creating a safe space for patients and teammates, • Builds Trust & Inspires Confidence – Earns confidence from patients and teammates by modeling honesty, authenticity, and clinical excellence, • Leads Collaboration – Unites roles and functions across the studio to elevate patient care and team performance, • Degree from an accredited dental hygiene program, • Current, active hygiene license in the state you’re applying for, • Current Anesthesia/Nitrous license in applicable state, • Current CPR/BLS certification, • Prior leadership, mentorship, or training experience in a hygiene setting preferred, • Comfort with digital charting and x-rays, intraoral cameras, and technology-driven care, • Ability to model accountability, give feedback, and support teammates in their professional growth This position requires the ability to perform the essential job duties listed, with or without reasonable accommodation: • Ability to sit and stand for extended periods while performing hygiene procedures and coaching team members, • Manual dexterity and fine motor skills to handle instruments, perform scaling and polishing, and operate clinical equipment, • Adequate vision (with or without correction) to read charts, assess oral conditions, interpret radiographs, and document findings, • Ability to bend, reach, and maintain ergonomic positioning for patient care throughout the day, • Occasional lifting or movement of equipment, instrument trays, and supplies up to 25 pounds, • Ability to communicate effectively and compassionately with patients, team members, and other healthcare professionals in person and via technology We believe taking care of people starts with taking care of our own. Here’s how we’ve got you covered at Tend: 🦷 Assisted Hygiene – A dental assistant to support your patient flow and prep 🎓 CE & Professional Development – Virtual and in-person learning opportunities, with added leadership training for Leads 🛡️ Malpractice Insurance – Full coverage provided 🩺 Health Comes First – Medical, dental, and vision insurance — plus our own Dental Wellness Program 🌴 Time to Recharge – Generous Paid Time Off (PTO) and company holidays — because rest is productive 💰 Plan for the Future – 401(k) with company match 💡 Support, When You Need It – Life & AD&D insurance, EAP, legal support, and more 🛍️ Smart Spending Options – FSAs, HSAs, and pre-tax transit benefits #LI-Onsite The base pay range listed reflects the hourly wage for this position and is determined by a variety of factors, including experience, skills, qualifications, and market conditions. Base Pay Range $58—$62 USD Hygienists at Tend are eligible for a monthly performance bonus based on clinical and operational key performance indicators (KPIs). Bonus pay is distributed monthly but reflected in the listed range as an hourly equivalent. Bonus amounts vary by provider, market, and schedule, and actual earnings may differ depending on individual productivity and studio performance. Bonus Pay Range $1—$15 USD The Tend Difference The highest standard of care, anywhere. At Tend, you’ll work alongside esteemed clinical leaders and experience-obsessed colleagues to deliver care that’s not only top-tier — it’s unforgettable. With access to advanced technology and thoughtfully designed studios, you’ll help create dental experiences that patients actually look forward to. Our hospitality-driven approach makes every visit feel personal, warm, and empowering. A top-tier clinical team who puts patients first. We value science over sales and lead with empathy, transparency, and integrity. There are no production quotas here — just a shared commitment to doing what’s right for our patients. We foster a collaborative, inclusive culture where team members go the extra mile for each other and for every patient who walks through our doors. Innovate Dentistry. Tend to Others. Grow Together. Tend is redefining what it means to grow a career in dentistry. We offer a modern, patient-first environment backed by cutting-edge tools and systems, industry-leading compensation and benefits, and robust opportunities for continuing education and professional development. Whether you’re clinical or corporate, you’ll be part of something meaningful — and surrounded by people who care. Tend is an Equal Opportunity Employer. We’re committed to fostering a workplace where everyone feels seen, heard, and supported. Tend does not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal and Compliance Notice: Tend complies with all applicable federal, state, and local laws governing nondiscrimination, equal employment opportunity, pay transparency, and other employment-related requirements. Where specific state disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy ___.

We offer a competitive hourly rate plus a monthly performance bonus tied to your production and clinical excellence. Our top-earning Hygienists make up to $73/hour in Brooklyn NY, combining base pay and bonus potential — with clear goals, transparency, and the support to help you thrive. As a Dental Hygienist at Tend, you’ll deliver top-tier preventive care in a modern, thoughtfully designed studio — with the support of a dedicated dental assistant through our Team (Assisted) Hygiene model. You’ll treat a well-booked schedule of patients with the tools, systems, and support you need to deliver clinical excellence and outstanding patient experiences. At Tend, we’re committed to fostering a diverse, inclusive environment where both our patients and our teams feel respected, represented, and truly cared for. Our model is built for driven hygienists: those who value autonomy, crave efficiency, and take pride in high-performance care. What You’ll Do • Deliver comprehensive preventive and periodontal care — including prophylaxis, periodontal maintenance, scaling and root planing (SRP), gingivitis scaling, oral cancer screenings, Itero scan, sealants, Zoom whitening, Perio Protect, Curodont, fluoride treatments, and patient education — all in alignment with evidence-based clinical guidelines, • Collaborate with a dedicated dental assistant to optimize your schedule, manage sterilization and room turnover, and support patient care and documentation, • Partner with dentists for hygiene exams to identify and recommend treatment plans based on patient needs, • Proactively drive hygiene production by maximizing chair time, recommending preventive care, and supporting same-day treatment opportunities, • Maintain strong relationships with patients through clear communication, trust-building, and personalized education, • Collaborate closely with the broader studio team — including doctors, assistants, and operations leaders — to ensure seamless patient care You embody our Tend values and demonstrate key competencies that ensure both patient success and team excellence. At Tend, these aren’t just words on a wall — they’re how we hire, lead, and grow. Tend Values • Tend to Others – Deliver exceptional patient experiences and team collaboration, • Be Brave Enough to Lead – Take initiative to solve problems and improve clinical care, • Savor the Ride – Celebrate wins and stay positive in a fast-paced environment, • Embrace Our Differences – Communicate with respect and value diverse perspectives, • Earns Trust – Earn patient and team confidence through honesty and follow-through, • Works Together – Works fluidly across roles and functions to ensure excellent care, • Degree from an accredited dental hygiene program, • Current, active hygiene license in the state you’re applying for, • Current Anesthesia/ Nitrous license if applicable for the state you're working in, • Current CPR/BLS certification, • Comfort with digital charting and x-rays, intraoral cameras, and technology-driven care, • Ability to sit and stand for extended periods while performing hygiene procedures., • Manual dexterity and fine motor skills to handle instruments, perform scaling and polishing, and operate clinical equipment., • Adequate vision (with or without correction) to read charts, assess oral conditions, interpret radiographs, and document findings., • Ability to bend, reach, and maintain ergonomic positioning for patient care throughout the day., • Occasional lifting or movement of equipment, instrument trays, and supplies up to 25 pounds., • Ability to communicate effectively and compassionately with patients, team members, and other healthcare professionals in person and via technology. What We Offer We believe taking care of people starts with taking care of our own. Here’s how we’ve got you covered at Tend: • 🦷 Assisted Hygiene – A dental assistant to support your patient flow and prep, • 🎓 CE & Professional Development – Virtual and in-person learning opportunities, • 🛡️ Malpractice Insurance – Full coverage provided, • 🩺 Health Comes First – Medical, dental, and vision insurance — plus our own Dental Wellness Program, • 🌴 Time to Recharge - Enjoy generous Paid Time Off (PTO) and company holidays — because rest is productive., • 💰 Plan for the Future – 401(k) with company match, • 💡 Support, When You Need It – Life & AD&D insurance, EAP, legal support, and more, • 🛍️ Smart Spending Options – FSAs, HSAs, and pre-tax transit benefits #LI-Onsite The base pay range listed reflects the hourly wage for this position and is determined by a variety of factors, including experience, skills, qualifications, and market conditions. Base Pay Range $52—$58 USD Hygienists at Tend are eligible for a monthly performance bonus based on clinical and operational key performance indicators (KPIs). Bonus pay is distributed monthly but reflected in the listed range as an hourly equivalent. Bonus amounts vary by provider, market, and schedule, and actual earnings may differ depending on individual productivity and studio performance. Bonus Pay Range $1—$15 USD The Tend Difference The highest standard of care, anywhere. At Tend, you’ll work alongside esteemed clinical leaders and experience-obsessed colleagues to deliver care that’s not only top-tier — it’s unforgettable. With access to advanced technology and thoughtfully designed studios, you’ll help create dental experiences that patients actually look forward to. Our hospitality-driven approach makes every visit feel personal, warm, and empowering. A top-tier clinical team who puts patients first. We value science over sales and lead with empathy, transparency, and integrity. There are no production quotas here — just a shared commitment to doing what’s right for our patients. We foster a collaborative, inclusive culture where team members go the extra mile for each other and for every patient who walks through our doors. Innovate Dentistry. Tend to Others. Grow Together. Tend is redefining what it means to grow a career in dentistry. We offer a modern, patient-first environment backed by cutting-edge tools and systems, industry-leading compensation and benefits, and robust opportunities for continuing education and professional development. Whether you’re clinical or corporate, you’ll be part of something meaningful — and surrounded by people who care. Tend is an Equal Opportunity Employer. We’re committed to fostering a workplace where everyone feels seen, heard, and supported. Tend does not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable federal, state, and local laws. This policy applies to all aspects of employment, including recruitment, hiring, promotion, compensation, benefits, and termination. Legal and Compliance Notice: Tend complies with all applicable federal, state, and local laws governing nondiscrimination, equal employment opportunity, pay transparency, and other employment-related requirements. Where specific state disclosures or postings are required by law, we provide this information as part of our hiring process or upon request. Your privacy matters. To learn more about how we collect, use, and protect your information, please review our privacy policy ___.

Job Title: Senior Director, Client Service, Media Job Location: Hybrid- Atlanta, Boston, Chicago, New York City, Norwalk About the role The Senior Director role is a strategic leadership position responsible for overseeing a portfolio of high-value accounts and guiding strategic account teams. This individual acts as a senior advisor to executive-level stakeholders, influencing investment decisions and driving multi-year growth plans. The role combines deep expertise in media research and analytics with executive engagement and commercial accountability. Primary Responsibilities * Oversee a portfolio of high-value accounts; manage and lead small portfolio teams or strategic account teams to deliver exceptional client outcomes. * Serve as a senior advisor to executive-level stakeholders; influence strategic investment decisions through evidence-based insights. * Accountable for retention of portfolio and responsible for multi-year growth plans, cross-sell strategies, and achievement of significant revenue targets. * Lead executive-level research initiatives; synthesize primary, secondary, and advanced analytics into actionable narratives for senior decision-making. * Optimize resource allocation and deliver operational efficiency across portfolio teams; shape best practices for quality delivery at scale. * Represent Kantar in industry forums and enterprise-wide initiatives; champion innovation in media analytics and cross-platform measurement. * Develop and nurture high-performing teams by identifying, mentoring, and advancing top talent through a culture of continuous learning and collaboration. Essential Knowledge & Experience * 7+ years in media research, analytics, or consulting with proven success in executive-level engagement. * Expertise in digital ecosystems, cross-platform measurement methodologies, creative quality, and/or placement and audience insights. * Strong command of advanced research techniques, including attribution, ROI modeling, and audience segmentation. * Advanced ability to synthesize complex data into compelling narratives for executive audiences. * Proven ability to shape strategic investment decisions and drive commercial outcomes. * Track record of delivering multi-year growth plans and achieving significant revenue targets for an account portfolio. * Demonstrated success in managing senior client relationships and leading high-performing teams, including direct management of a team of 3 or more professionals. * Ability to navigate fast-paced agency or complex client environments, balancing strategic depth with delivery efficiency. * Bachelor’s degree in market research/marketing or related social science and analytic subject areas. Masters preferred Location New York, World Trade CenterUnited States of America Kantar Rewards Statement At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us. We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.

Inizio Engage has partnered with a pharmaceutical company to build a nationwide team of Clinical Educators. The program is educational support in the area of primarily psychiatry. The Clinical Educator will deliver educational support to identified Healthcare Professionals (HCP) within Mental Health settings of care. This is your opportunity to join Inizio Engage and represent a top biotechnology company! What’s in it for you? • Competitive compensation, • Excellent Benefits – accrued time off, medical, dental, vision, 401k, disability & life insurance, paid maternity and paternity leave benefits, employee discounts/promotions, • Employee discounts & exclusive promotions, • Recognition programs, contests, and company-wide awards, • Exceptional, collaborative culture, • Best Places to Work in BioPharma (2022, 2023, & 2024), • Certified Great Place to Work (2022, 2023, 2025) What will you be doing? • Provide product demonstration and education to Healthcare Professionals in a variety of offices and facilities within a defined geographic territory. To provide disease state related educational support to identified Healthcare Professionals and office staff as agreed with the Client Account Manager., • To present educational programs to Healthcare Professionals in accordance with the needs of each office., • To only use approved materials provided by Inizio Engage or by the client, without changing, copying or distributing the materials., • To attend and complete all training courses and related competency assessments that Inizio Engage requires, to an appropriate standard and within a specified timeframe, • Develop and strengthen relationships with key customers., • To facilitate the development and provision of services across multiple healthcare sectors, as determined by the Client Account Manager, Field., • To constantly consider new and innovative approaches that potentially develop new partnership opportunities., • Complete all required administrative responsibilities in a timely manner. Some of these could include but are not limited to; daily computer updates, weekly summary of activity reports, emails and monthly expense reports., • Maintain professional registration and/or licensing as required by applicable state laws., • Attend local and national meetings and/or conferences, as required, to keep abreast of plans, activities and developments and to exchange knowledge and experience within the team., • Maintain all company equipment and materials in accordance with company instructions, • Comply with all Ashfield Policies and Procedures, along with all Client Policies and Procedures as required., • Be contactable during working hours to answer queries, • To possess a full valid US drivers license, • Perform other duties as requested. What do you need for this position? • Neuro/psych or mental health or behavioral health experience required, • Experience working in pharmaceutical industry within an HCP facing Clinical Educator role required, • Registered Nurse with 3- 5 years post-educational experience, • Territory Management experience required, • Demonstrate effective and professional communication, • Ability to present to various groups of HCPs, • Evidence of continual professional development and a desire to update professional knowledge base regularly, • Ability to travel within territory at 75% with expected overnights About Inizio Engage Inizio Engage is a strategic, commercial, and creative engagement partner that specializes in healthcare. Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes. Our mission is to partner with our clients, improving lives by helping healthcare professionals and patients get the medicines, knowledge and support they need. To learn more about Inizio Engage, visit us at: ___ Inizio Engage is proud to be an equal opportunity employer. Individuals seeking employment at Inizio are considered without regards to age, ancestry, color, gender, gender identity or expression, genetic information, marital status, medical condition (including pregnancy, childbirth, or related medical conditions), mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Inizio will consider for employment qualified applicants with arrest and conviction records. Inizio Engage is an equal opportunity employer M/F/V/D. We appreciate your interest in our company, however, only qualified candidates will be considered.

Trustaff Allied is seeking a travel RDN - Registered Dietitian Nutritionist for a travel job in New York, New York. Job Description & Requirements • Specialty: RDN - Registered Dietitian Nutritionist, • Discipline: Allied Health Professional, • Start Date: 01/19/2026, • Duration: 10 weeks, • 40 hours per week, • Shift: 8 hours, days Trustaff Allied Job ID #956841. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Dietitian About Trustaff Allied Our traveler-first attitude has set us apart from other travel healthcare agencies When you join the Trustaff family, you’re more than just a body filling a role—you're a vibrant individual with dreams and aspirations. As one of the nation's leading travel healthcare companies, your recruiter will work with you one-on-one to guide your career and help you achieve your goals. • You decide when and where you want to work, • Enjoy industry-leading pay, benefits, and bonuses, • Experience new people and places, • Grow your clinical skills and expand your experience Travel healthcare lets you take your professional career to the next level while maintaining your flexibility and freedom. At Trustaff, we put you first, so you never have to compromise your work or pay. We are proud to have one of the highest nurse retention rates in the country. Some of the other reasons people choose us include: • Priority access to thousands of travel healthcare jobs, • Industry-leading pay, • Guaranteed weekly hours, • Experienced recruiters, • Comprehensive benefits, including medical, dental, and vision, • 401k with employer match, • Assistance with travel, compliance, and housing, • Great bonuses for completions, referring friends, and more Benefits • Dental benefits, • Medical benefits, • Vision benefits, • Guaranteed Hours, • Referral bonus

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).

Job Description Introduction Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives. Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards. Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next? Job Description: We are hiring for Account Director level with a capability for helping life sciences companies solve problems with a combination of Axtria’s consulting expertise, world-class processes, and innovative cloud platforms. Successful candidates will have the demonstrated ability to build personal relationships with VPs+, create strategies and write good content to win large engagements, and have a track record of winning over new clients/stakeholders. Responsibilities: The position will be directly responsible for: • Client Relationship Management, • Development of Account Strategy, • Account Planning, • Crafting innovative solutions and new go-to market strategies, • Client success advocate across all projects for assigned clients, • A minimum of 7-10+ years of experience at a top consulting/technology services firm, • Life Science/Pharmaceutical/Biotechnology industry experience is a must, • Ability to interact with client leadership as well as Axtria management at senior levels, • Strong consulting skillset, with ability to “white board” solutions to meet client challenges, • Exceptional interpersonal, relationship building and networking skills, • Excellent communication, presentation, and sales skills, • Solid track record working with multiple globally dispersed teams facing complex assignments, • Ability to understand the attributes of project delivery success to proactively manage client expectations and demonstrate value, • Ability to work well with diverse individuals and cross functional teams across Axtria and client organizations, • Strong customer focus and results orientation, • Proven ability to contribute to new business development, building account plans, lead generation and responding to proposals, • Entrepreneurial outlook - Experience in identifying opportunities and converting these into business, • Executive presence, including outstanding presentation and communication skills, • We are hiring for Berkeley Heights, NJ., • U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. The salary range for this position is $157,600 to $205,425 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. Powered by JazzHR B9iaAwmJBe

Medical Solutions Direct Hire is seeking a Pharmacist Senior for a job in Irvington, New York. Job Description & Requirements • Specialty: Pharmacist, • Discipline: Allied Health Professional, • Start Date: 01/05/2026, • Duration: Ongoing, • 40 hours per week, • Shift: 8 hours, days, • Employment Type: Staff Pharmacy Coordinator – Controlled Substances & Sterile Products Department: Pharmacy Services Reports To: Pharmacy Manager/Director FLSA Status: Exempt Location: Hospital/Health System Setting Position Summary The Pharmacy Coordinator for Controlled Substances & Sterile Products is responsible for the oversight, compliance, and operations of the hospital’s controlled substance management program and sterile product preparation services. This role ensures safe, accurate, and compliant handling of controlled medications and high-quality sterile compounding in accordance with state and federal laws, USP standards, accreditation requirements, and institutional policies. The coordinator serves as a clinical and operational expert, leading process improvement initiatives and supporting pharmacy staff through education, training, and performance oversight. Key ResponsibilitiesControlled Substances (CS) Oversight • Manage and monitor all aspects of controlled substance procurement, storage, distribution, reconciliation, and waste., • Ensure compliance with DEA regulations, state board requirements, and institutional policies., • Conduct routine audits and discrepancy investigations; collaborate with nursing, anesthesia, security, and compliance teams to resolve concerns., • Maintain and review automated dispensing cabinet (ADC) reports, diversion monitoring analytics, and transaction logs., • Lead controlled substance diversion prevention initiatives, including staff education and surveillance activities., • Prepare and submit required regulatory documentation (e.g., DEA 106 forms, biennial inventory)., • Assist with policy development, revision, and implementation related to controlled substance management.Sterile Products Oversight, • Oversee daily operations of sterile compounding areas, including IV admixture services, hazardous drug compounding, parenteral nutrition, and other sterile preparations., • Ensure adherence to USP <797>, USP <800>, and applicable state regulatory standards., • Monitor environmental sampling, personnel competency, and engineering control performance; coordinate corrective actions when necessary., • Develop and maintain standard operating procedures (SOPs) for aseptic technique, cleaning, garbing, workflow, and documentation., • Support implementation and maintenance of sterile compounding technology (e.g., workflow systems, gravimetric/volumetric verification, barcode systems).Leadership & Operational Support, • Serve as a subject-matter expert and resource for pharmacy technicians, pharmacists, and allied health staff., • Provide training, onboarding, competency assessments, and ongoing education for sterile compounding and controlled substance handling., • Participate in quality assurance and performance improvement initiatives., • Collaborate with pharmacy leadership on staffing, workload optimization, and service expansion., • Support readiness for accreditation surveys (e.g., Joint Commission, DNV, CMS) and regulatory inspections.Quality, Safety, and Compliance, • Develop and track key performance indicators (KPIs) for controlled substances and sterile compounding services., • Participate in medication safety committees, antimicrobial stewardship initiatives, and interdisciplinary operational teams., • Investigate medication incidents related to controlled substances and sterile preparations; contribute to root cause analyses and corrective action plans., • Ensure proper documentation, record retention, and data integrity across both program areas.QualificationsRequired, • Doctor of Pharmacy (PharmD) or Bachelor of Science in Pharmacy., • Current, active pharmacist license (NY) in good standing., • Minimum 4-5 years of hospital pharmacy experience.

Optum Home & Community Care, part of the UnitedHealth Group family of businesses, is creating something new in health care. We are uniting industry-leading solutions to build an integrated care model that holistically addresses an individual's physical, mental and social needs - helping patients access and navigate care anytime and anywhere. 30K SIGN on BONUS or 40K STUDENT LOAN PAYMENTS As a team member of our Senior Community Care (SCC) product, we work with a team to provide care to patients at home in a nursing home, assisted living for senior housing. This life-changing work adds a layer of support to improve access to care. We're connecting care to create a seamless health journey for patients across care settings. Join us to start Caring. Connecting. Growing together. We're fast becoming the nation's largest employer of Nurse Practitioners; offering a superior professional environment and incredible opportunities to make a difference in the lives of patients. This growth is not only a testament to our model's success but the efforts, care, and commitment of our Nurse Practitioners. The Senior Community Care (SCC) program is a longitudinal, integrated care delivery program that coordinates the delivery and provision of clinical care of members in a facility setting. The APC within SCC provides care to our highest-risk health plan members and is part of an interdisciplinary team. In this role you will have the ability to achieve work life balance. Flexible scheduling offered where providers can flex their time over the 7-day work week. No on-call, no weekends, and no holidays required. Optum is transforming care delivery with innovative and personal care. As one of the largest employers of APCs, Optum offers unparalleled career development opportunities. Primary Responsibilities: • Conduct comprehensive assessments, • Manage members through an acute medical situation or an exacerbation of a chronic condition, including testing, diagnostics, interventions, • Manage members during a short term sub-acute rehabilitation episode, • Ensure accurate and complete documentation, including ICD 10 conditions, • Communicate and collaborate with the interdisciplinary care team, • Conduct advanced illness and advanced care planning conversations, • Provide patients and caregivers with counseling and education You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: • Graduate of an accredited Master of Science Nursing or Doctor of Nursing Practice program, • Active and unrestricted license in the state which you reside, or ability to obtain by start date, • Active Nurse Practitioner certification through a national board:, • Board certified through the American Academy of Nurse Practitioners or the American Nurses Credentialing Center, with certification in one of the following:, • Family Nurse Practitioner, • Adult Nurse Practitioner, • Gerontology Nurse Practitioner, • Adult-Gerontology Acute Care Nurse Practitioner, • Current, active DEA licensure/prescriptive authority or ability to obtain post-hire, per state regulations (unless prohibited in state of practice) (SCC04), • Ability to gain a collaborative practice agreement, if applicable in your state, • Ability to complete physical requirements of the job including moving a 30-pound bag in and out of the car, navigating stairs and a variety of dwelling conditions, remain in a stationary position and position self to perform physical assessment, • Driver's license and access to reliable transportation Preferred Qualifications: • 1+ years of clinical experience in practice (long-term care setting preferred), • Experience in meeting the medical needs of patients with complex behavioral, social and/or functional needs, • Understanding of Geriatrics and Chronic Illness, • Understanding of Advanced Illness and end of life discussions, • Proficient computer skills including the ability to document medical information with written and electronic medical records Compensation for this specialty generally ranges from $104,500 - $156,00. Total cash compensation includes base pay and bonus and is based on several factors including but not limited to local labor markets, education, work experience and may increase over time based on productivity and performance in the role. We comply with all minimum wage laws as applicable. 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. 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.

$40,000 Student Loan Repayment Or $30,000 Sign-on Bonus for Individuals Who Have Not Previously Participated in this Program Optum Home & Community Care, part of the UnitedHealth Group family of businesses, is creating something new in health care. We are uniting industry-leading solutions to build an integrated care model that holistically addresses an individual's physical, mental and social needs - helping patients access and navigate care anytime and anywhere. As a team member of our Senior Community Care (SCC) product, we work with a team to provide care to patients at home in a nursing home, assisted living for senior housing. This life-changing work adds a layer of support to improve access to care. We're connecting care to create a seamless health journey for patients across care settings. Join us to start Caring. Connecting. Growing together. We're fast becoming the nation's largest employer of Nurse Practitioners; offering a superior professional environment and incredible opportunities to make a difference in the lives of patients. This growth is not only a testament to our model's success but the efforts, care, and commitment of our Nurse Practitioners. The Senior Community Care (SCC) program is a longitudinal, integrated care delivery program that coordinates the delivery and provision of clinical care of members in a facility setting. The APC within SCC provides care to our highest-risk health plan members and is part of an interdisciplinary team. In this role you will have the ability to achieve work life balance. No on-call, no weekends, and no holidays required. Optum is transforming care delivery with innovative and personal care. As one of the largest employers of APCs, Optum offers unparalleled career development opportunities. Primary Responsibilities: • Conduct comprehensive assessments, • Manage members through an acute medical situation or an exacerbation of a chronic condition, including testing, diagnostics, interventions, • Manage members during a short term sub-acute rehabilitation episode, • Ensure accurate and complete documentation, including ICD 10 conditions, • Communicate and collaborate with the interdisciplinary care team, • Conduct advanced illness and advanced care planning conversations, • Provide patients and caregivers with counseling and education You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: • Graduate of an accredited Master of Science Nursing or Doctor of Nursing Practice program, • Active and unrestricted license in the state which you reside, or ability to obtain by start date, • Active Nurse Practitioner certification through a national board:, • Board certified through the American Academy of Nurse Practitioners or the American Nurses Credentialing Center, with certification in one of the following:, • Family Nurse Practitioner, • Adult Nurse Practitioner, • Gerontology Nurse Practitioner, • Adult-Gerontology Acute Care Nurse Practitioner, • Current, active DEA licensure/prescriptive authority or ability to obtain post-hire, per state regulations (unless prohibited in state of practice) (SCC04), • Ability to gain a collaborative practice agreement, if applicable in your state, • Ability to complete physical requirements of the job including moving a 30-pound bag in and out of the car, navigating stairs and a variety of dwelling conditions, remain in a stationary position and position self to perform physical assessment, • Driver's license and access to reliable transportation Preferred Qualifications: • 1+ years of clinical experience in practice (long-term care setting preferred), • Experience in meeting the medical needs of patients with complex behavioral, social and/or functional needs, • Understanding of Geriatrics and Chronic Illness, • Understanding of Advanced Illness and end of life discussions, • Proficient computer skills including the ability to document medical information with written and electronic medical record Compensation for this specialty generally ranges from $104,500 - $156,000. Total cash compensation includes base pay and bonus and is based on several factors including but not limited to local labor markets, education, work experience and may increase over time based on productivity and performance in the role. We comply with all minimum wage laws as applicable. 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. PLEASE NOTE Employees must be in an active regular status. Employees must remain in role for a minimum of 12 months from the date of hire /rehire/transfer. If an employee leaves Home and Community, the student loan repayments will cease. The employee must remain in an Advanced Practice Clinician or Physician role within Home and Community for 36 months to receive the full benefit of the student loan repayments. 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.

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).

ARMStaffing is seeking a travel nurse RN OR - Operating Room for a travel nursing job in Passaic, New Jersey. Job Description & Requirements • Specialty: OR - Operating Room, • Discipline: RN, • Start Date: ASAP, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours, days, • Provide direct and indirect patient care in the OR.\n, • Effectively communicate and coordinate with the surgical team.\n, • Maintain professional nursing standards and ensure quality patient care.\n, • Participate in Performance Improvement activities and unit meetings.\n, • Act as a resource for other personnel as appropriate.\n\n\nRequired Experience / Certifications / Licensure\n\n, • Current and valid state RN License.\n, • Current BLS certificate required upon hire, with maintenance.\n, • Current ACLS and PALS certificates required within 30 days of hire, with maintenance.\n, • A minimum of one year previous perioperative experience is required.\n, • Certified Nurse OR (CNOR) certification is preferred.\n, • Bachelor of Science in Nursing (BSN) is preferred.\n, • Health Benefits: Medical, Dental, Vision, Life, and more\n, • Onboarding Made Easy: We handle physicals, titers, and more so you can focus on care\n, • Clinical Support: In-house clinical team available to assist and advocate\n, • 401k Retirement Plan: Eligible after waiting period; 4% match with 5% contribution\n, • Recruiter Matching: Get paired with a recruiter based on your location and specialty\n, • SIA’s Top-50 Fastest Growing Healthcare Staffing Firms – 2019\n, • SIA’s Largest Healthcare Staffing Agencies in the U.S. – 2023\n, • Top Workplace in the Lehigh Valley – 2022, 2023\n, • Perfect scores for 'Name, Not a Number' and 'Recruiters' Personalities' on Highway Hypodermics\n ARMStaffing Job ID #35005726. Pay package is based on 8 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: RN:OR,07:00:00-15:00:00 About ARMStaffing Allied Resources Medical Staffing (ARMStaffing) places the most qualified medical professionals in the industry, including: local and travel contract, temp-to-perm, per diem, and direct-hire personnel. \n As a leader in medical staffing, we cover every segment of the healthcare market and take pride in our ability to exceed our clients' expectations. We accomplish this through our total dedication to our clients and field associates, our over 15 years of experience, a strong and diverse poor of medical professionals, and the high level of loyalty of our internal staff. \n We also make it a point to develop and maintain close relationships with staffing and office managers to ensure clear communication and proper placements based on the client's criteria. This allows us to tailor our services to best suit the staffing needs of our clients, while placing our employees in positions that match their abilities and preferences. \n Our goal is to offer unparalleled service to our valued healthcare clients, regardless of facility size or location, and to maintain a top-notch workforce of qualified, dedicated and medical professionals. \n The Experts in Healthcare Recruiting \n\n • Local and travel contracts\n, • Temp-to-perm employment\n, • Direct-hire personnel\n, • Per Diem\n, • Staffing for every segment of the healthcare industry including, RNs, LPNs, and CNAs, and Allied Health Professionals\n, • Long-term contracts, block scheduling and per diem staffing options\n, • 24-Hour customer service and on-call support 365 days a year\n, • Full-time, registered nurse on staff to provide screening, background, and reference checks\n, • Long-term and temporary career options with outstanding employee benefits\n, • Medical Benefits\n, • Company-matched 401K\n\n

ARMStaffing is seeking a travel nurse RN OR - Operating Room for a travel nursing job in Passaic, New Jersey. Job Description & Requirements • Specialty: OR - Operating Room, • Discipline: RN, • Start Date: ASAP, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours, days, • Provide direct and indirect patient care in the Operating Room.\n, • Coordinate care between the patient, surgeon, and anesthesiologist.\n, • Direct and guide OR Technicians and other personnel.\n, • Participate in performance improvement activities, unit meetings, and in-services.\n, • Maintain adherence to regulations, standards, and hospital policies.\n\n\nRequired Experience / Certifications / Licensure\n\n, • Current and valid state RN License.\n, • Current BLS, ACLS, and PALS certifications (must be maintained).\n, • Minimum of one year of previous perioperative experience.\n, • Open-heart experience is required.\n, • Certified Nurse OR (CNOR) certification preferred.\n, • Bachelor of Science in Nursing (BSN) preferred.\n, • Health Benefits: Medical, Dental, Vision, Life, and more\n, • Onboarding Made Easy: We handle physicals, titers, and more so you can focus on care\n, • Clinical Support: In-house clinical team available to assist and advocate\n, • 401k Retirement Plan: Eligible after waiting period; 4% match with 5% contribution\n, • Recruiter Matching: Get paired with a recruiter based on your location and specialty\n, • SIA’s Top-50 Fastest Growing Healthcare Staffing Firms – 2019\n, • SIA’s Largest Healthcare Staffing Agencies in the U.S. – 2023\n, • Top Workplace in the Lehigh Valley – 2022, 2023\n, • Perfect scores for 'Name, Not a Number' and 'Recruiters' Personalities' on Highway Hypodermics\n ARMStaffing Job ID #35154543. Pay package is based on 8 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: RN:OR,07:00:00-15:00:00 About ARMStaffing Allied Resources Medical Staffing (ARMStaffing) places the most qualified medical professionals in the industry, including: local and travel contract, temp-to-perm, per diem, and direct-hire personnel. \n As a leader in medical staffing, we cover every segment of the healthcare market and take pride in our ability to exceed our clients' expectations. We accomplish this through our total dedication to our clients and field associates, our over 15 years of experience, a strong and diverse poor of medical professionals, and the high level of loyalty of our internal staff. \n We also make it a point to develop and maintain close relationships with staffing and office managers to ensure clear communication and proper placements based on the client's criteria. This allows us to tailor our services to best suit the staffing needs of our clients, while placing our employees in positions that match their abilities and preferences. \n Our goal is to offer unparalleled service to our valued healthcare clients, regardless of facility size or location, and to maintain a top-notch workforce of qualified, dedicated and medical professionals. \n The Experts in Healthcare Recruiting \n\n • Local and travel contracts\n, • Temp-to-perm employment\n, • Direct-hire personnel\n, • Per Diem\n, • Staffing for every segment of the healthcare industry including, RNs, LPNs, and CNAs, and Allied Health Professionals\n, • Long-term contracts, block scheduling and per diem staffing options\n, • 24-Hour customer service and on-call support 365 days a year\n, • Full-time, registered nurse on staff to provide screening, background, and reference checks\n, • Long-term and temporary career options with outstanding employee benefits\n, • Medical Benefits\n, • Company-matched 401K\n\n

Medical Solutions Direct Hire is seeking a Cardiovascular Technologist Lead for a job in Irvington, New York. Job Description & Requirements • Specialty: Cardiovascular Technologist, • Discipline: Allied Health Professional, • Start Date: 01/12/2026, • Duration: Ongoing, • 40 hours per week, • Shift: 10 hours, days, • Employment Type: Staff Summary The Lead Cardiovascular Invasive Specialist is a highly skilled healthcare professional working under the direction of Invasive Cardiologists and the Nurse Manager. This individual plays a key role in the Cardiac Catheterization Lab, ensuring the coordination of daily workflow, technical excellence during procedures, and adherence to quality and safety standards. In addition to performing clinical duties, the Lead Invasive Cardiology Specialist acts as a mentor, preceptor, and resource to staff, supporting operational efficiency and optimal patient outcomes in a complex, high-acuity procedural environment. Essential Functions and Responsibilities Includes the Following: • Understands and adheres to Performance Standards, Policies and Behaviors, • Provides daily oversight of room assignments, workflow, and staffing coordination to ensure smooth lab operations., • Assists with schedule adjustments and staff coverage during callouts, high-volume periods, or emergencies., • Participates in hiring, onboarding, and orientation of new staff; provides input into performance evaluations., • Delivers ongoing mentorship and training to support clinical competency and staff development., • Leads or participates in daily huddles, case briefings, and operational meetings., • Clearly communicates and implements new processes, protocols, and departmental initiatives., • Functions as lead cardiovascular invasive specialist during complex procedures in both the Cath and EP labs, including interventions, ablations, and device implants., • Demonstrates expertise in operating and troubleshooting imaging, monitoring, and therapeutic equipment (e.g., IVUS, ICE, FFR/IFR, RF generators, mapping systems)., • Ensures proper room setup, turnover, and adherence to sterile technique and procedural protocols., • Supports the interdisciplinary team by facilitating procedural flow and anticipating equipment or clinical needs., • Ensures compliance with all safety standards, including infection control, radiation protection, and patient monitoring., • Oversees equipment maintenance and quality control checks; initiates timely service or repair requests., • Participates in accreditation and regulatory readiness efforts to ensure compliance with governmental, state, and accreditation standards., • Assists with department audits, incident reporting, and continuous quality improvement projects., • Oversees inventory management, including high-cost devices, consignment items, and procedural supplies in collaboration with Nursing Leadership Team and Materials Management., • Coordinates with vendors and Nursing Leadership team for equipment trials, staff education, and product evaluation., • Ensures accurate documentation for procedural records, supply usage, and billing purposes., • Assists in charge audits and reconciliation processes to support revenue integrity., • Provides safe, compassionate, and patient-centered care during all phases of procedures., • Demonstrates leadership presence, professionalism, and adaptability in a fast-paced, high-stakes environment., • Assists, prepares, and revises policies, and procedures., • Performs all other related duties as required and/or requested based on the needs of the patient, department, and organization. Education & Experience Requirements • A graduate of a certificate or degree program or post-secondary educational program in health science (includes but not limited to, cardiovascular technology, ultrasound, radiologic technology, respiratory therapy, nursing or paramedic/EMT)., • Bachelor of Science Degree preferred., • Successful completion of scrub technician training program or hospital-based training program• At least 5 years scrub technician or cardiac technician experience preferred., • BLS, ACLS required, • RCIS or RCES required, • Demonstrates excellent clinical judgment and ability to apply new concepts and skills in invasive cardiology.

Job DescriptionWHO WE ARE Crunch Fitness is a rapidly expanding fitness brand with over 500 franchised and corporate-owned gyms across the United States and internationally. Rated as the #1 Fitness Franchise by Entrepreneur in 2024 and 2025, our unfiltered philosophy of "No Judgments" drives us to create a gym and community for all. We believe in making serious fitness fun by fusing exercise with entertainment and innovation. Experience the unique opportunity to be part of our high-growth team, where professional development and advancement are plentiful. Together, we are redefining the fitness industry. YOUR IMPACT As a Personal Trainer at Crunch, you will be responsible for delivering personalized fitness programs, fostering a motivating environment, and supporting members in achieving their health and fitness goals. You will serve as a fitness expert and mentor, promoting safe and effective exercises while upholding the standards and values of the Crunch brand. Responsibilities: • Cultivate and retain a consistent client base through personalized support and engagement, • Maintain an organized and up-to-date schedule, coordinating client sessions, meetings, and availability using internal scheduling tools, • Drive sales of personal training packages through proactive outreach via phone, email, and in-person interactions, • Conduct fitness assessments to understand clients' goals, health status, and fitness levels., • Develop personalized and effective workout programs tailored to individual needs., • Instruct and demonstrate proper exercise techniques to ensure clients perform activities safely and effectively., • Motivate and inspire clients to achieve their fitness goals through positive reinforcement and support., • Monitor clients' progress, adjust programs as needed, and provide ongoing feedback., • Stay updated on fitness trends, industry developments, and new training techniques., • Maintain a clean and organized workout environment, ensuring equipment is properly organized., • Assist in promoting Crunch Fitness programs and challenges to encourage member participation., • Uphold Crunch Fitness standards of customer service and professionalism through the 4 Pillars., • Follow all policies and procedures in the Employee Handbook., • Current CPR certification., • NCCA Accredited primary Personal Trainer Certification (newly hired Personal Trainers may have 60 days from the date of hire to complete and provide)., • A degree in a related field is preferred but not required (Exercise Science, Kinesiology, Sports Medicine, Physical Education, Nutrition, Fitness Specialist, etc.). A degree would be accepted in lieu of a primary Personal Trainer Certification., • High school diploma or general education degree (GED)., • Personal Training experience preferred but not required., • Ability to work independently and as part of a team., • Excellent communication and interpersonal skills., • Baseline Computer Skills Required for managing email, business tools, and timecard review., • Enthusiastic and positive attitude. Professional Perks: • Access to top-tier facilities, including cutting-edge cardio machines, premier strength equipment, and functional training areas., • Industry-leading compensation plan for Personal Trainers including bonuses and commissions., • Clear pathways for career growth and advancement within the organization., • Complimentary Crunch gym membership to support your personal fitness goals., • Flexible scheduling to promote a healthy work-life balance.Continued Support & Development:, • Ongoing Tuition Reimbursement Program to support your professional development., • Complimentary CPR/AED re-certification., • Free certifications and continuing education units (CEUs)., • Exclusive discounts on professional certifications, supplements, and athletic wear., • Monthly cell phone stipend to keep you connected., • Frequent contests with cash prizes, educational opportunities, and unique experiences.Financial & Lifestyle Benefits:, • 401(k) retirement savings plan (eligibility requirements apply)., • Commuter benefits to help offset travel costs., • Employee Assistance Program for personal and professional support.Full-Time Employee Benefits: Crunch believes that all persons are entitled to equal employment opportunity and does not discriminate against nor favor any applicant because of race, color, religion, sex, age, veteran status, disability, national origin or ancestry, sexual orientation, gender identity, gender expression, transgender status or any other basis protected by federal, state or local law or ordinance or regulation. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, and not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Crunch will make reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

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 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 (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 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 (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 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).

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 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 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 (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 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 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).

GHR Healthcare - PH Division is seeking a travel nurse RN OR - Operating Room for a travel nursing job in Passaic, New Jersey. Job Description & Requirements • Specialty: OR - Operating Room, • Discipline: RN, • Start Date: 12/15/2025, • Duration: 13 weeks, • 40 hours per week, • Shift: 8 hours \n Advance your perioperative nursing career as an Operating Room Registered Nurse (OR RN) with a 13-week travel nursing assignment in Passaic, NJ (zip code 07055). Join a top-rated surgical services team in northern New Jersey, serving a vibrant and diverse community with easy access to New York City. This healthcare job offers excellent professional growth, competitive pay, and the opportunity to work in a dynamic urban setting known for its dining, parks, and welcoming atmosphere.\n \n\nTravel Nursing Job Details\n\n • Assignment Type: Travel Nursing – Operating Room Registered Nurse (OR RN)\n, • Location: Passaic, New Jersey (07055) – Northern NJ healthcare jobs\n, • Setting: Surgical Services – Operating Room\n, • Duration: 13 weeks (Start: 12/15/2025 – End: 3/15/2026)\n, • Shift: 8-hour days, Monday – Friday (7:00 AM – 3:00 PM)\n, • Hours per Week: 40\n, • Estimated Weekly Salary: $1750-$1870\n, • Call: Required (No exceptions)\n, • Open-heart experience: Required\n\n\nRegistered Nurse Qualifications\n\n, • Active and valid Registered Nurse (RN) license in New Jersey\n, • Current BLS (AHA) certification\n, • Current ACLS (AHA) certification (within 30 days of hire)\n, • Current PALS (AHA) certification (within 30 days of hire)\n, • Minimum 1 year of perioperative (OR) nursing experience or on-the-job training\n, • Open-heart surgical experience required\n, • Pre/Post Op experience\n, • Certified Nurse Operating Room (CNOR) certification preferred\n, • Bachelor of Science in Nursing (BSN) preferred\n\n\nOR RN Responsibilities\n\n, • Provide direct and indirect patient care in the perioperative setting for neonates, pediatrics, adolescents, adults, and older adults\n, • Coordinate patient care with surgeons and anesthesiologists in the operating room\n, • Supervise and guide OR Technicians and other healthcare personnel, maintaining professional nursing standards\n, • Ensure efficient patient flow, unit maintenance, and organization in surgical services\n, • Comply with hospital and unit policies, procedures, and regulatory standards\n, • Participate in performance improvement activities, unit meetings, and in-service training\n, • Serve as a resource for other nursing and clinical staff\n Planet Healthcare Job ID #435918. Pay package is based on 8 hour shifts and 40 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: OR About GHR Healthcare - PH Division For over 30 years, GHR Healthcare has been the bridge between healthcare professionals and the facilities that need them nationwide. We're committed to uncovering your ideal fit, supported by GHR's dedication to competitive compensation, transparent communication, and a devoted team that genuinely cares about your career journey. You can trust us to stand by your side as your advocate, confidante, and partner in advancing your career. At GHR, care and consideration are at the heart of everything we do. Visit ghrhealthcare.com to learn more.

Medical Solutions Direct Hire is seeking a Cytotechnologist Lead for a job in Hartsdale, New York. Job Description & Requirements • Specialty: Cytotechnologist, • Discipline: Allied Health Professional, • Duration: Ongoing, • 40 hours per week, • Shift: 8 hours, days, • Employment Type: Staff Chief Technologist, Cytotechnology: Receives body material, fluids, exudate and scrapings, etc. and assists physicians with FNA procedures and collects specimens from patients. Examines and records classification of slides and presents slides with unusual cytomorphology to Pathologist for further examination. Maintains record of all work performed in Cytology section, e.g. NYS Department of Health requirements and annual statistics. Supervises Cytotechnologists, assigns workload, develops schedule, prepares and maintains departmental records. Performs other duties as assigned. Requirements: • N.Y.S. license and prior supervisory experience required., • Bachelor of Science with ASCP Registry and/or Certified Cytology School Degree Required., • 3 years minimum experience screening gynecological, non-gynecological specimens and fine needle aspirations, • Familiar with Bethesda system for Cytology reporting., • ThinPrep Certification About Medical Solutions Direct Hire At Medical Solutions, we’re people who care, helping people who care. No matter how you look at it, there’s a whole lot of care going on in our world and that’s just the way we like it. What do we do? Medical Solutions is one of the nation’s largest providers of total workforce solutions in the healthcare industry, connecting nurses and allied health clinicians with hospitals and healthcare systems across the country and around the corner. Through our family of brands, we also serve a segment of clients outside of the healthcare space. And we’re the very best at what we do. You’ll love our culture that’s filled with heart and soul. As a company and employer, we’re sincerely and unabashedly us. We lead as humans first and believe the unique qualities of each team member make us better together. We share a purpose for helping others and the drive to make a difference. And we offer endless opportunities for personal and professional growth, throughout your career. At Medical Solutions, you’ll find a great place to work and a career home. We’ve received Best Places to Work awards, landed top industry awards, and received accolades for the impact we’ve made in business and within our community. But the only way to really get to know us, is to join us. We think you’ll fit right in.

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 AI Engineer (AI Foundations, LLM Core, 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).

Senior 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * 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: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior 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).

Job DescriptionEmpowering Smart Decisions with Data-Driven Insights and Innovative Solutions This Jobot Job is hosted by: Gene Choi Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $110,000 - $180,000 per year A bit about us: We are a leading provider of risk management and cybersecurity solutions, helping organizations make data-driven decisions to protect their most critical assets. With a focus on transforming complex risk data into actionable insights, we empower businesses to optimize their security posture and ensure long-term resilience. Why join us? • Competitive Base Salary!, • 401K match, PTO, and excellent benefits!, • Accelerated Career Growth!, • Hybrid (3 days remote)! Job Details Responsibilities: • Design, develop, and implement high-quality software solutions using TypeScript, JavaScript, React, SQL, NoSQL, Python, GraphQL, and MongoDB., • Collaborate with cross-functional teams to define, design, and ship new features., • Troubleshoot, debug, and upgrade existing software to ensure strong functionality and optimization., • Participate in all phases of the software development lifecycle, from concept to deployment., • Maintain code integrity, organization, and automatization., • Develop and maintain technical documentation to guide future software development projects., • Mentor junior software engineers and share knowledge across the team., • Bachelor’s degree in Computer Science, Information Technology, or related field., • A minimum of 5 years of experience in a software engineering role., • Proven experience with TypeScript, JavaScript, React, SQL, NoSQL, Python, GraphQL, and MongoDB., • Experience working in a start-up environment is a plus., • Strong understanding of software development principles, algorithms, data structures, and multithreading concepts., • Excellent problem-solving skills, with the ability to analyze complex problems and propose practical solutions., • Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders., • Self-motivated, with the ability to work independently and in a team., • Strong attention to detail and a commitment to delivering high-quality software solutions., • A passion for technology and a desire to stay up-to-date with the latest industry trends and technologies. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.

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 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 Richmond, VA: $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 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).

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).