Trabajos computer science engineering en Bayonne, New Jersey - Page 12Crear alertas

Qualifications: Bachelors Degree in Computer Science or related field PMP or similar 5 years experience supporting IT Security tools and applications Project Management expertise Process documentation, flow charting and re-engineering expertise MS Project and Project Server Working knowledge of MS S

Bachelor's degree in Computer Science, Engineering, IT, or equivalent experience. Analyze and troubleshoot issues to maintain high-quality standards.

Full Stack Engineer (New Grad). Bachelor's degree in Computer Science, Software Engineering, or related technical field. Previous software engineering experience through internships, co-ops, or professional roles.

A baccalaureate degree from an accredited college in computer science, engineering or a related field and four years of satisfactory full-time experience related to datacenter engineering and operations, cloud engineering and operations, complex IT infrastructure engineering; or, 2. A baccalaureate

Leading high-visibility engineering efforts on some of our data intensive core components. The ideal candidate will have a strong academic background in computer science and at least 3-5 years of relevant experience as a software engineer at a top startup or technology firm. Distributed cache/in mem

BS in Electrical Engineering, Computer Engineering, Computer Science, or related field. MS in Electrical Engineering, Computer Engineering, Computer Science, or related field. Design and develop software for a System on Chip (SoC) solution consisting of multiple operating environments (POSIX, RTOS,

Computer Science, Computer Engineering, or Electronics Engineering. A Quality Assurance Engineer is needed to:. Recommend engineering solutions and plan implementations.

PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the

PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field. Actively participate in proof-of-concept evaluations of new data, software, and technologies. As par

Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Youll work closely with teams across Pricing, Marketing, Risk, Operations, and GTM, providing end-to-end data science support from exploration to modeling to deployment. Stay current on emerging tools

Drive the collection of new data sources and the refinement of existing data sources. A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field. Mine and translate data into meaningful insights and recommendations f

Bachelors Degree in Data Science, Computer Science, Engineering, Mathematics, or related field.

Continuously improve software engineering practices. Master’s Degree in Computer Science or a Master’s Degree in Software Engineering. Director, Software Engineering.

Job Description???? Now Hiring: Activity Specialists – After-School & Summer Programs ???? Queens, NY | Multiple Locations ???? Schedule???? School Year (Sept–June) ???? Monday – Friday | 2:00 PM – 6:00 PM ☀️ Summer Program (July–August) * Beacon & Elementary School Sites: Monday–Thursday, 12 PM – 6 PM | Friday, 8 AM – 6 PM (July 2 – Aug 15) * Middle School Sites: Monday–Thursday, 12 PM – 6 PM | Friday, 8 AM – 6 PM (July 2 – Aug 8) * Forest Hills & Pomonok Community Centers (K-5): Monday–Friday, 8 AM – 6 PM (July 2 – Aug 15) ???? About Us Queens Community House (QCH) is a vibrant nonprofit dedicated to empowering and enriching the diverse communities of Queens. With a vast network of youth, family, and community programs, we strive to build inclusive, healthy, and thriving neighborhoods. Rooted in social justice and innovation, we’re looking for passionate individuals to join our mission and make a lasting impact on young lives! ???? Position Overview – Bring Your Passion! QCH is seeking creative and skilled Activity Specialists to design and lead engaging activities for elementary and middle school students in our After-School & Summer Programs. ???? Art | ???? Literacy | ???? Theater | ⚽ Sports | ???? Music | ???? Dance | ???? Karate | ???? Academics | ???? STEAM (Science, Technology, Engineering, Arts, Math) | ???? Leadership Development This is your chance to turn your expertise into an enriching experience for young minds! ???? Key Responsibilities???? Program Development & Leadership ✔️ Create and implement dynamic lesson plans tailored to students' needs. ✔️ Foster a safe, inclusive, and engaging learning environment. ✔️ Lead structured activities that promote creativity, teamwork, and personal growth. ✔️ Assist students with academic enrichment and homework support. ???? Collaboration & Communication ✔️ Partner with program directors, staff, and families to support student success. ✔️ Maintain open communication with teachers, parents, and community stakeholders. ✔️ Collaborate on interdisciplinary projects and special events. ???? Event & Program Coordination ✔️ Plan and facilitate performances, showcases, and community events. ✔️ Ensure student safety and supervision at all times. ✔️ Participate in staff meetings and professional development to enhance skills. ???? Qualifications – What We’re Looking For ✔️ Education: * Must be at least 18 years old. * Currently enrolled in a related college program (Education, Human Development, Sociology, Human Services) with at least two years of coursework completed. ✔️ Experience & Skills: * 3+ years of experience leading youth activities in after-school, summer camp, or community settings. * Proven expertise in the specific activity area for which you are applying. * Strong group facilitation, conflict resolution, and classroom management skills. * Ability to inspire, mentor, and engage youth in leadership and skill-building. ✔️ Additional Requirements: * Tech-savvy – Basic computer proficiency & strong communication skills. * Ability to work independently while collaborating within a team. * Must pass NYS DOH & DOE Fingerprinting, Clearance Review, Background Check, three reference checks, and a physical exam (including an updated TB test). ???? Why Join QCH? ✅ Make a Meaningful Impact – Empower and inspire young minds. ✅ Supportive & Inclusive Work Culture – Join a diverse team dedicated to community change. ✅ Professional Growth – Access ongoing training, development, and career advancement opportunities. ???? Apply Today & Make a Difference! ???? Ready to inspire the next generation? Submit your application now! ???? Queens Community House is an Equal Opportunity Employer committed to diversity, equity, and inclusion. ???? Drug-Free Workplace

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Member of Technical Staff - Research to design, build, and deploy AI models that redefine how financial operations run—starting with accounts receivable. You’ll work closely with Product, Engineering, and our leadership team to create industry-specific solutions, fine-tune smaller models for real-world workflows, and ensure every deployment is production-ready and driving measurable value. This is a high-impact role for someone who can think creatively, execute technically, and deliver models that translate directly into business impact. You’ll combine applied AI expertise, strong engineering discipline, and cross-functional collaboration to shape the future of Stuut’s AI capabilities. What You’ll Do * Innovate & Deploy: Design, implement, and ship machine learning models tailored to financial workflows—moving from concept to production. * Bridge Collaboration: Partner with product managers, engineers, and domain experts to deeply understand workflows and translate them into scalable AI solutions. * Optimize & Scale: Build robust data pipelines, fine-tune model performance, and ensure solutions meet production-grade reliability and efficiency standards. * Maintain Excellence: Monitor, debug, and improve deployed models to ensure ongoing accuracy, relevance, and business value. * Lead & Share: Contribute technical leadership through code reviews, mentorship, and best practice sharing. You Might Be a Fit If You… * Hold a Master’s or Ph.D. in Machine Learning, Computer Science, or a related field—or have equivalent hands-on experience. * Are fluent in Python and experienced with ML frameworks like TensorFlow or PyTorch. * Have deployed deep learning, transformer, or retrieval-augmented generation (RAG) models in production. * Understand MLOps, scalable infrastructure, model serving, and monitoring. * Care about responsible AI—bias mitigation, privacy, and safety. * Are a strong collaborator with clear communication skills and technical humility. * Thrive in a fast-moving, high-growth startup environment. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave

Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.

Education: Bachelors degree or higher in Control Engineering, Electrical Engineering, Computer Science, Software Engineering, or related discipline is preferred; 5+ years experience plus vocational degree and certification in lieu of degree may be considered. Ensure proper integration of vendor engi

Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required; Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer

Bachelors degree in Computer Science, Data Engineering, or related field with 5+ years of experience in data analyst roles. Leidos is seeking an AWS Data Analyst to collecting, cleaning, and interpreting large datasets to find patterns and insights, then communicating these findings to stakeholders

PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the

Minimally a BA degree within an engineering and/or computer science discipline. Our client, a major bank in Central, NJ, is looking for Integration Data Engineer. Looking for Integration Data Engineer with a background in SQL and data warehousing for enterprise level systems.

HRA is dedicated to fighting poverty and income inequality by providing New Yorkers in need with essential benefits such as Food Assistance and Emergency Rental Assistance. A baccalaureate degree from an accredited college in computer science, engineering or a related field and four years of satisfa

Stay up-to-date on the latest trends and technologies in data engineering and analytics. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. As a key member of our team, you will collaborate closely with data scientists, analysts, and other engineers to deliver data-d

Collaborate with cross-functional partners, such as product, engineering, design, legal, and trust and safety to design effective machine learning solutions. Bachelors degree in Computer Science, Computer Engineering, or a related field, or the equivalent.

This role will partner closely with business stakeholders, engineers, and vendors to deliver innovative, secure, and scalable network solutions including both on-premise and cloud-based deployments. Engineering, Computer Science, or related field or equivalent experience (10+ years in enterprise net

Senior Manager - Technology Operations - Social Commerce. Option 1: Bachelor's degree in computer science, management information systems, industrial engineering, engineering management, business, information systems, project/program management, information technology, finance, management, or relate

Familiarity with networking trends such as software defined networking. Provide expert consultation for major network initiatives or incidents. BS or BA in engineering or computer science.

Undergraduate degree with Masters degree in data science, math, statistics, quantitative / computational finance, engineering, computer science or other quantitative / computing field. This data science role involves working closely within our Data Science & Analytics team, cross-industry businesses

Trading Risk and Control Associate. The Trading Risk & Control group in Capital Markets is established under Sales and Trading to ensure proper trading support and smooth operations. Bachelor's or Master's Degree in Financial Engineering, Finance, Computer Science or related quantitative/analytical

Education and experience required: Bachelor's degree in Computer Science or Computer Applications or Electronics Engineering or Electrical Engineering or IT or IS, plus 6 months experience in job offered or as Analyst or Engineer or Software Developer. Job description: Design software applications &

MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in ML / AI / Data Engineering.

Master’s Degree in Computer Science or a Master’s Degree in Software Engineering. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance.

Senior Manager, Technology Change Risk Oversight Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, and managing technology risk. Technology Risk Management (TRM) is a small organization that packs a big punch. The 100 professionals in TRM are trusted experts who oversee 14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. Our business leaders must make technology decisions constantly. TRM makes sure they have the tech risk information they need to make good decisions. Associates within TRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. As the Senior Manager, Technology Change Risk Oversight you will play a key role in the review, risk identification, risk assessment, reporting, and effective challenge of technology processes, controls, and capabilities, including but not limited to material and high risk technology changes. You will provide subject matter expertise, oversight, and effective challenge of key Technology areas such as cloud services, enterprise architecture, cloud migrations, and overall technology deployments. As part of the second line of defense, this position will also collaborate closely with associates in first line Cyber, Technology, the Lines of Business, as well as other second line of defense risk management offices to perform and support evaluations of the effectiveness of the firm's controls infrastructure and offer independent advice and recommendations regarding ways to further mature the firm's cyber risk management capabilities. Finally, as a member of a growing organization, you will have the opportunity to shape and further refine your portfolio commensurate with the priorities of the organization and the company. The demands and high-visibility nature of this position requires an expert with a proven ability to work independently in a fast-paced environment and who can begin contributing immediately. Essential Functions (Responsibilities): • Provide technical leadership in assessing the practices of designing, developing, testing and implementing cloud native solutions to crucial business problems through thoughtful use of industry best practices and Capital One policy., • Evaluate proposed and approved cloud technical solutions for automation, resiliency, performance, scalability, and security including appropriate tradeoffs, risks and opportunities, • Evaluate/assess complex technological and business environment migrations to the cloud and integrated end-to-end solution options, • Build and maintain relationships with technical leaders, business owners, engineers and other stakeholders to understand and evaluate implementation plans, business priorities and technical solutions to ensure risk are well communicated and understood by the key stakeholders, • Keep up-to-date on cutting edge technology, standards, protocols and tools in areas relevant to the rapidly changing environment at Capital One, specifically cloud native architecture, serverless, and emerging AWS services, • Demonstrate strong analytical, problem-solving, and decision-making skills, • Communicate and drive highly complex technology solutions to broad audiences including executives, business leaders, product managers, legal experts, security specialists and software engineers, • Define, structure and plan work independently, • Perform independent risk assessment of our cloud environment focusing on architecture, engineering, networking, governance., • Provide expertise and advice regarding the effectiveness of device configurations, IT architecture, or IT engineering solutions, • Consult with risk owners on the design and implementation or adjustment of mitigating controls associated with emerging technologies, • Draft and publish independent reports for risk owners, senior management, and other stakeholders regarding risks associated with new or emerging technologies Basic Qualifications:, • Bachelor's Degree or military experience, • At least 6 years of experience managing, consulting, auditing, or working in the fields of information security or information technology, • At least 3 years experience with Public Cloud implementations Preferred Qualifications:, • Master's Degree in Computer Science or in an Engineering discipline, • Professional certification (AWS Certified Solutions Architect, AWS Certified Security Speciality, AWS SysOps Administrator, or Certified Information Systems Security Professional (CISSP, • Experience with Information Security at the policy, architecture or implementation level, • Ability to communicate clearly and to interact effectively at all levels of the organization, and to influence as warranted and appropriate to drive to consensus, • Experience with identifying and communicating key risks related to cloud native implementations and architectures, • Experience drafting reports or analytic assessments for senior management, • Experience with analysis of emerging threats and reports that describe the implications of threat(s) and opportunities to executives or senior decision-makers, • Passion and expertise in cybersecurity and technology risk, with an ability to be confident, respectful, and articulate when registering dissenting or unpopular opinions, • Ability to manage multiple high-visibility and high-impact projects while maintaining superior results, • Execution oriented and a self-motivator, • Experience with threat modeling frameworks (STRIDE, OWASP Top 10, MITRE ATT&CK), • Familiarity with controls and control frameworks ( NIST Cybersecurity Framework, NIST 800-53, CIS Top 20, ISO, COBIT.), • Ability to work independently and in a team, taking a lead role on projects when necessary, • Prior experience working in financial services or other highly-regulated sectors, • Experience working in a hybrid IT environment that includes both traditional on-premises data centers and public cloud infrastructure (e.g., AWS, Azure, Google Cloud), • Experience with OpenStack At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is Hybrid, with associates expected to consistently spend three days per week in the office. 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 Manager, Cyber Technical Richmond, VA: $204,900 - $233,800 for Sr Manager, Cyber Technical New York, NY: $245,900 - $280,600 for Sr Manager, Cyber Technical Riverwoods, IL: $204,900 - $233,800 for Sr Manager, Cyber Technical 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 ; 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- or via email at . click apply for full job details

Principal Associate, Ontology and Data Modeling- Retail Bank The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Principal Associate of Ontology and Data Modeling, as part of Retail Bank Product, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Principal Associate of Ontology and Data Modeling will be responsible for partnering within the Retail Bank and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities • Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development, • Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies, • Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business., • Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, • Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment, • Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning, • Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL, • Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One, • Test/troubleshoot new or updated models and systems, • Manage and oversee other projects as assigned by Product Owners and Supervisors Role-Based Competencies, • Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges, • Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you, • Do-er. You're biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work, • Passionate & Customer Focus. You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs, • Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help, • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships Basic Qualifications, • Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics, • At least 3 years' experience in a metadata field of work or a masters' degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics, • At least 3 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS), • At least 3 years' experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World), • At least 3 years' experience or training with SQL or SPARQL Preferred Qualifications, • Master's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics, • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data, • Familiarity with graph databases and technologies, • Familiarity with Python or R, • Familiarity with JSON, OpenAPI/YAML, AVRO, • Familiarity with Agile principles, processes, and methodologies, • Familiarity with Amazon Web Services, • Detail-oriented and an ability to problem-solve independently, • Strong reading and writing skills, • Strong project management experience, • Excellent communication skills and the ability to present ideas clearly and with confidence., • Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is hybrid meaning associates spend about half their time (3 days per week) in-person at one of our offices listed on this job posting. 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: $127,500 - $145,500 for Principal Associate, Ontology and Data Modeling New York, NY: $139,100 - $158,700 for Principal Associate, Ontology and Data Modeling Wilmington, DE: $115,900 - $132,200 for Principal Associate, Ontology and Data Modeling 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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 ; 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- 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) click apply for full job details

Sr. Associate, Product Management Product Management Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. Do you dream of well-designed and intuitive products and customer experiences? Do you want to be the one who introduces change to help tens of millions of customers make smarter financial choices? Do you want to change the way people manage their money? If you answered yes to all of these questions, then product management at Capital One may be a fit for you In this role, you'll learn the essentials of being a product manager, and we'll invest in you to grow in four key areas : • Human Centered, • You'll collaborate with tech teams to build comprehensive acceptance criteria, identifying and elevating any need for additional research to define future feature design, • You'll breakdown business epics into features and further into user stories, driving your team towards lowest effort or Minimal Viable Product (MVP) for a valid feature test, • Business Focused, • Demonstrating a growth mindset, you'll effectively use hypothesis-driven assessment of data to ensure your product or feature delivers on real business needs, • You'll own and prioritize feature development roadmaps, ensuring all necessary processes and procedures are followed to manage risk, • Technology Driven, • You'll work autonomously in an agile environment, to conduct research and develop features that utilize new and evolving technology, • You'll collaborate with designers, technologists, data scientists and subject-matter experts to build cutting edge solutions to help customers, • You'll deliver well-managed product platforms for customers by seeking to understand technology trends and architecture strategy, • Transformational Leadership, • By actively participating in horizontal forums, you'll harness a network of trusted relationships among tech teams, designers, key internal stakeholders and partner teams, • You'll articulate a succinct product roadmap to deliver business value and share with with stakeholders, elevating your team's results and becoming a product matter expert We want you if you are:, • Intellectually Curious . You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges, • Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you, • Do-er. You're biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work, • Passionate & Customer Focus . You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs, • Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help, • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships Basic Qualifications:, • Bachelor's degree or military experience, • At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering Preferred Qualifications:, • Bachelor's degree in computer science or engineering, • 1+ years translating business strategy or analysis into consumer facing digital products, • 1+ years of experience working on core product platforms powering digital experiences, • 1+ years working with cross functional teams as a product owner in an agile development process At this time, Capital One will not sponsor a new 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. Chicago, IL: $99,100 - $113,100 for Sr. Associate, Product Management McLean, VA: $109,000 - $124,400 for Sr. Associate, Product Management New York, NY: $118,900 - $135,700 for Sr. Associate, Product Management Richmond, VA: $99,100 - $113,100 for Sr. Associate, Product Management 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 ; 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- 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 (Intelligent Foundations & Experiences) 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. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. 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. 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 ; 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- 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).

Manager, Product Management - Enterprise Product & Experience Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Team The Enterprise Product and Experience team builds on the shoulders of our data and technology transformation. We bring together cross-functional experts to help drive Capital One's Enterprise product, data, design, machine learning and engineering, data science, and developer capabilities. Together, we are working with our partners across Capital One to deliver the future of industry-defining products, platforms, and experiences for our associates and customers. Capital One Product Framework In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: * Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions * Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence * Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value * Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks * Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Basic Qualifications: * At least 3 years of experience working in Product Management * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: * Experience translating business strategy and analysis into consumer facing digital products At this time, Capital One will not sponsor a new 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: $158,400 - $180,800 for Manager, Product Management New York, NY: $172,800 - $197,200 for Manager, Product Management Richmond, VA: $144,000 - $164,400 for Manager, Product Management 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 ; 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- 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).

Director, Technical Program Management, Bank Tech Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? About Capital One - At Capital One, we're changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We're dedicated to helping foster a world where everyone has an equal opportunity to prosper. We're a bank, but we don't think like one. We're always thinking about what's next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. That's where you come in. About the team - We are seeking top tier Technical Program Management (TPM) talent to lead strategic initiatives for ACH, Wires, Instant, and emerging payment types. In this exciting role, you will propel us in our journey towards platform modernization and future innovation. You will be partnering with Executive Leaders and stakeholders across lines of businesses to drive the execution of a cohesive roadmap across multiple workstreams to deliver results that will have a direct, significant impact on the company. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Directors have: * Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle * Exceptional communication and collaboration skills * Excellent problem solving and influencing skills * A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker * Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice * Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives * Deep focus on execution, follow-through, accountability, and results * Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. * Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Basic Qualifications: * Bachelor's degree * At least 7 years of experience in technical program management Preferred Qualifications: * 7+ years of experience designing and building data-intensive solutions using distributed computing * 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS * 3+ years experience building highly scalable mobile products & platforms * 3+ years of experience with Agile delivery * 3+ years years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact * Experience in building systems & solutions within a highly regulated environment * Bachelor's degree in a related technical field (Computer Science, Software Engineering) * MBA or Master's Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience 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. McLean, VA: $226,000 - $257,900 for Director, Technical Program Management New York, NY: $246,500 - $281,300 for Director, Technical Program Management Richmond, VA: $205,400 - $234,400 for Director, Technical Program Management Wilmington, DE: $205,400 - $234,400 for Director, Technical Program Management 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 ; 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- 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).

Manager, Solution Architecture (Workday) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Workday Architects who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Lead the design, development and architecture of Workday solutions, including HCM, Finance, Recruiting, Benefits, Compensations and other modules to support business processes and objectives . * Design and implement integrations between Workday Finance and other modules, ensuring seamless data flow and integration points. * Implement the Workday solution to support the multiple countries and ensure the design supports compliance requirements. * Leading Trade-off and impact analysis work for hard to change technical decisions, and manage technical conflict * Demonstrate thought leadership and strategy in partnership with delivery and product partners * Explain and represent solutions in the Architecture Review Boards, and various product, platform and architecture discussions * Presenting work products and strategies to product managers, technology leadership across Capital One * Function as a primary architecture point of contact for other architecture teams & and delivery teams for solutions and systems * Implement the security requirements within the Workday that supports the data tokenization and other compliance requirements. * Evaluate the machine learning/AI use cases and ensure that AI usage is based on the safety and compliance requirements Basic Qualifications: * Bachelor's Degree * At least 4 years of experience in Software Engineering and Systems Architecture or Technology Solution design * At least 2 years of experience creating solutions architectures in a public cloud (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * Master's Degree in Computer Science, Engineering or Information Technology * 5+ years of experience in software engineering * 3+ years of experience as a Solutions Architect in large/complex organizations * 6+ years of experience architecting, designing, and/or delivering delivering scalable and decoupled systems in a heavily regulated technology environment * 2+ years of experience working with internal and external business clients * 2+ years of experience with AWS concepts and implementations * Experience to engaging, influencing and driving initiatives by partnering with technology executives * Experience mentoring software engineers or architects * Experience in a regulated environment (HIPAA, PCI, Privacy, etc) * Ability to communicate at all levels in the organizations with required technical depth and breadth * AWS or equivalent certifications (Cloud Practitioner, Solution Architect-Associate, GCP or Azure) 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 Manager, Solution Architecture Cambridge, MA: $193,400 - $220,700 for Manager, Solution Architecture Chicago, IL: $175,800 - $200,700 for Manager, Solution Architecture McLean, VA: $193,400 - $220,700 for Manager, Solution Architecture New York, NY: $211,000 - $240,800 for Manager, Solution Architecture Plano, TX: $175,800 - $200,700 for Manager, Solution Architecture Richmond, VA: $175,800 - $200,700 for Manager, Solution Architecture San Jose, CA: $211,000 - $240,800 for Manager, Solution Architecture 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 ; 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- 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 ; 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- 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).

Principal Associate, Data Scientist - US Card (New To Credit Team) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The New to Credit Data Science team develops machine learning models for marketing, risk, and valuation. These models help our business partners make informed marketing and underwriting decisions throughout the credit card lifecycle. We prioritize advanced modeling techniques, alternative data sources, and robust infrastructure to enhance decision accuracy and efficiency. Additionally, we conduct thorough statistical analysis to generate insights that influence various business strategies. You will collaborate with data scientists, business analysts, and software engineers on all stages of model development. This work will be conducted in a supportive environment that values your contributions, encourages new responsibilities, promotes ongoing learning, and rewards innovation. Role Description In this role, you will: * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Leverage a broad stack of technologies - Python, Conda, AWS, Spark, Kubeflow Pipelines, and more - to reveal the insights hidden within huge volumes of numeric and textual data * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love * Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: * A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. * Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) * At least 1 year of experience working with AWS * At least 3 years' experience in Python * At least 3 years' experience with building machine learning models, with at least one year of experience with building GBM models * At least 3 years' experience with SQL 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. Chicago, IL: $144,200 - $164,600 for Princ Associate, Data Science McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science 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 ; 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- 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).

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate:, • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers., • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them., • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea., • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond., • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms., • Has a deep understanding of the foundations of AI methodologies., • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF., • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes., • Experience in delivering libraries, platform level code or solution level code to existing products., • A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects., • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications:, • Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications, • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model 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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II 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 ; 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- 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).

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate:, • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers., • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them., • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea., • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond., • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms., • Has a deep understanding of the foundations of AI methodologies., • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF., • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes., • Experience in delivering libraries, platform level code or solution level code to existing products., • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects., • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications:, • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications, • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I 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 ; 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- 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).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: • Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money., • Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data., • Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation., • Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences., • Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate:, • You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers., • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them., • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea., • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond., • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms., • Has a deep understanding of the foundations of AI methodologies., • Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF., • An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes., • Experience in delivering libraries, platform level code or solution level code to existing products., • A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects., • Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications:, • Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications:, • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields, • LLM, • PhD focus on NLP or Masters with 5 years of industrial NLP research experience, • Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization), • Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens), • Publications in deep learning theory, • Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR, • Optimization (Training & Inference), • PhD focused on topics related to optimizing training of very large deep learning models, • Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression, • Experience optimizing training for a 10B+ model, • Deep knowledge of deep learning algorithmic and/or optimizer design, • Experience with compiler design, • Finetuning, • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning), • Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance, • Experience deploying a fine-tuned large language model 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I 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 ; 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- 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 ; 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- 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 ; 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- or via email at . click apply for full job details

Director, Software Engineering As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You bring solid experience in databases, API development, and cloud computing. You are proficient in one or more programming languages such as Go, Java, Python, Rust or Typescript, and demonstrate strong collaboration skills to partner effectively with cross-functional stakeholders and product managers. You will: * Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers * As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. * Provide guidance and perform software development work to ensure solutions are properly engineered and maintained to support customer needs. * Mentor and guide the professional and technical development of engineers on your team. * Spearhead workstream execution, ensuring robust process and project delivery management. * Work with product managers to understand desired application capabilities and testing scenarios * Continuously improve software engineering practices * Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies * Lead the craftsmanship, availability, resilience, and scalability of your solutions * Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community * Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity * Work across to improve the velocity of your and other teams * Lead efforts to deploy new and existing applications into AWS environments * Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications : * Bachelor's Degree * At least 7 years' experience in software development * At least 5 years' experience in people management Preferred Qualifications: * Master's Degree in Computer Science or a Master's Degree in Software Engineering * 10+ years of experience in software development * 7+ years of experience in directly managing engineering teams * 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data * 2+ years of experience in developing Generative AI models and frameworks (OpenAI family, open source LLMs, Retrieval Augmented Generation (RAG * 5+ years of experience in Agile practices 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: $263,900 - $301,200 for Director, Software Engineering New York, NY: $287,800 - $328,500 for Director, Software Engineering Richmond, VA: $239,900 - $273,800 for Director, Software 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 ; 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- 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 ; 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- 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).