דרושים Artificial Intelligence Machine Learning Technical ב-Capital One ב-United States, Arlington

Senior Manager, Tech College, Enterprise Learning and Development

• Fluent in Tech:Understands the needs of engineers and has experience supporting technical audiences

• Bilingual in Learning + Engineering:Skilled at translating across disciplines and connecting tech execution to learning strategy

• Strategic Operator:Tracks emerging technologies (i.e., generative AI) and anticipates future learning needs; thinks holistically; solves problems systemically; balances long-term vision with operational excellence and delivery rigor; brings structure to ambiguity and manages multiple priorities effectively

• Product-minded:Applies iteration, experimentation, and learner feedback to improve solutions

• Collaborative:Thrives in matrixed environments; builds alignment across HR, Engineering, and L&D values co-creation

• People Leader:Coaches and supports talent, builds strong teams, and nurtures a positive culture

• Insight-driven:Uses feedback, data, and insights to drive decisions and continuous improvement

• Storyteller:Communicates with clarity and influence across senior and technical audiences

This is a visible role with the ability to impact change across the company and drive meaningful solutions by shaping how technical learning is built and delivered at Capital One. To do this you will…

• Partner with the Tech College Accountable Executive and Software Engineering Lead to drive the annual strategic planning process to align on the vision, OKRs, operating model, and governance model for Tech College while ensuring execution against strategy and integration across software engineering and learning workstreams

• Manage a cross-functional team of people leaders managing the Learning Consulting and Design, Learning Program Management, and Operations and Logistics functions

• Coach and develop talent within the Tech College learning team including conducting talent assessment, performance management, and talent management

• Shape and set the tone for team culture by leading rituals, driving inclusion and engagement, and modeling intentional people leadership

• Collaborate with business leaders across Tech, Tech HR, Enterprise HR, and various subject matter experts across the company to iteratively conduct needs analysis and determine revisions to the Tech College learning strategy

• Drive execution of enterprise mandates and deliver learning solutions that reflect enterprise priorities, especially in areas like test automation, continuous deployment, AI fluency, and onboarding in Capital One’s proprietary environment

• Lead design and delivery of peer learning programs and iterate based on leader and learner feedback and impact data

• Manage Tech College’s budget and advocate for resources based on program scale, delivery need, and organizational priorities.

• Collaborate on learner communications and external storytelling, sharing Tech College insights and outcomes

• Represents Tech College externally via case studies, best practices, and thought leadership

• Collaborate with vendors and external partners to align on industry standards for continuous upskilling, certifications, and emerging trends; leverage external content library resources when and where appropriate

Here is what you need to be successful:

• Experience educating, onboarding, or supporting software engineers or other technical talent

• Familiarity with the software development lifecycle either through product, design, engineering, or enablement roles

• Demonstrate ability to lead strategic planning and executive large-scale learning initiatives

• High level of initiative, ownership, and a customer-centric mindset

• Strong written and verbal communication skills, with ability to influence at all levels

• Proven people leader with ability to coach, mentor, and build high-performing teams

• Ability to manage ambiguity, lead through change, and deliver in a matrixed environment

• Enthusiastic about building culture and bringing energy to change and transformation

• Experience managing cross-functional partnerships in complex, matrixed environments

• Awareness of AI and emerging tech trends and how they shape future talent needs

Basic Qualifications:

• Bachelor’s Degree or Military experience

• At least 1 year experience onboarding and educating software engineers and other technical talent

• At least 2 years of experience working in a Tech company or with Tech talent in corporate environment

• At least 3 years of experience in design, learning experience design, and/or building/implementing learning strategies

• At least 3 years of experience in people leadership

• At least 4 years of experience in client consulting

• At least 4 years of experience in project and/or program management (planning, executing, tracking, reporting)

Preferred Qualifications:

• Master’s Degree in Business Administration

• Direct or adjacent product management experience

• At least 1 year experience facilitating communication between Engineering and Learning and/or HR teams

• 5+ years of experience in people management

• 5+ years of experience in project management (planning, executing, tracking, reporting))

• 5+ years of experience in driving multi-year, company-wide learning endeavors

McLean, VA: $154,600 - $176,400 for Sr. Learning Manager Richmond, VA: $140,600 - $160,400 for Sr. Learning ManagerThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Principal Associate, Technical Recruiter

Roles and Responsibilities

• Partner with hiring managers and business , group or organization leads, and key stakeholders to understand unique talent needs

• Manage the full lifecycle recruiting process and hiring deliverables. This will include creating compelling position descriptions, sourcing diverse candidate pipelines, marketing Capital One’s talent brand to attract top talent, screening candidates, advising business partners on the recruiting process, and negotiating job offers

• Candidate management - develop and execute sourcing plans to identify and recruit top talent, owning the candidate development process from identification and engagement to offer extension and closing

• Work cross-functionally across a team of high performing recruiters and promote a culture of inspiration, empowerment and inclusion

• Leverage recruiting data to proactively provide status updates and hiring results to leadership and HR partners

• Source stellar candidates. Look beyond direct applications and leverage search engines, career sites, recruiting events, and other innovative sourcing techniques to find the best talent in the market

Basic Qualifications

• High School Diploma, GED, or equivalent certification

• At least 3 years of experience in recruiting OR 3 years of experience in human resources OR 3 years of client consulting experience OR a combination of the three

Preferred Qualifications

• Professional Human Resources (PHR) certification

• 1+ years of experience with AI focused recruitment (Applied Research, Applied Science, AI Engineering, or Machine Learning Engineering)

• 4+ years of experience in Corporate Recruiting – full life cycle, research, and sourcing

• 2+ years experience consulting with multiple hiring managers at once while developing and enhancing excellent working relationships with those managers and their teams

• Ability to influence and drive results in a fast-paced environment

• Ability to use innovative techniques to attract and recruit diverse talent

• Experience in compensation and general HR requirements as related to hiring

McLean, VA: $117,300 - $133,900 for Principal Recruiter Plano, TX: $106,700 - $121,700 for Principal Recruiter Richmond, VA: $106,700 - $121,700 for Principal RecruiterThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Sr. Director, Technical Program Management - Bank Tech

Our TPM Sr. 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

• Experience building and leading a world-class team of technical program managers with a mission to power real-time, intelligent experiences for our customers and associates

• Lead technology focused discussions with senior leadership by providing valuable insights and recommendations that guide technology-based decisions

• 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

• Experienced 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 9 years of experience managing technical programs

Preferred Qualifications

• 9+ years of experience designing and building data-intensive solutions using distributed computing.

• 5+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS

• 5+ years of building & leading experienced TPM team

• 5+ years experience building highly scalable mobile products & platforms

• 5+ years of experience with Agile delivery

• 5+ 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

McLean, VA: $264,300 - $301,700 for Sr. Director, Technical Program Management New York, NY: $288,400 - $329,100 for Sr. Director, Technical Program Management Richmond, VA: $240,300 - $274,300 for Sr. Director, Technical Program ManagementThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Senior Data Scientist, Consumer Identity Machine Learning

Team Description

As part of Consumer ML, you will:

• Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes

• Develop the real-time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time

• Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products

Role Description

In Consumer Identity ML, you will work at all phases of the data science life cycle, including:

• improve operationalizationin scalable and resilient production systems that serve 50+ million customers.

• Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.

• Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark.

The Ideal Candidate is:

• 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.

• 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.

• Statistically-minded.You’ve built models, validated them, and back tested 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.

• 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.

Basic Qualifications:

• Currently has, or is in the process of obtainingone of the followingwith 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 2 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

Preferred Qualifications:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)

• At least 1 year of experience working with AWS

• At least 2 years’ experience in Python, PyTorch, Scala, or R

• At least 2 years’ experience with machine learning

• At least 2 years’ experience with SQL

• At least 2 years' experience working with natural language processing

McLean, VA: $133,000 - $151,800 for Sr Assoc, Data Science New York, NY: $145,100 - $165,600 for Sr Assoc, Data Science San Jose, CA: $145,100 - $165,600 for Sr Assoc, Data ScienceThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Director of Technical Program Management - Card Integration

As a Director of Technical Program Management (TPM) in Capital One’s Card Tech+ organization, we’re looking for someone to help manage our integration with Discover. You will work to support technical testing scoping and execution, which is a foundational piece of our successful Card integration.

In addition to the technical program, you will also work to pave the way for expanding the TPM discipline within the team. Leveraging your industry knowledge and experience you will contribute to growing the reach and influence of the TPM at Capital One.

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 managing technical programs

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

McLean, VA: $226,000 - $257,900 for Director, Technical Program Management Richmond, VA: $205,400 - $234,400 for Director, Technical Program ManagementThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Director, Technical Program Management - Card Tech (Agent Servicing Platform)

We are seeking a highly experienced and strategic Director of Technical Program Management to lead the expansion and modernization of our Agent Servicing Platforms. You will own the end-to-end program strategy, roadmap, and execution for the expansion of our agent servicing tools. This includes defining program scope, setting technical and business objectives, and managing a portfolio of projects to achieve our goal of doubling our agent serving capacity.

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 managing technical programs

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

McLean, VA: $226,000 - $257,900 for Director, Technical Program Management Richmond, VA: $205,400 - $234,400 for Director, Technical Program ManagementThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Lead Machine Learning Engineer

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role:

• The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:

• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.

• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).

• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.

• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.

• Retrain, maintain, and monitor models in production.

• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.

• Construct optimized data pipelines to feed ML models.

• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.

• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.

• Use programming languages like Python, Scala, or Java.

Basic Qualifications:

• Bachelor’s degree

• At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)

• At least 4 years of experience programming with Python, Scala, or Java

• At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications:

• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field

• 3+ years of experience building production-ready data pipelines that feed ML models

• 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow

• 2+ years of experience developing performant, resilient, and maintainable code

• 2+ years of experience with data gathering and preparation for ML models

• 2+ years of people leader experience

• 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation

• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance

• ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer Chicago, IL: $175,800 - $200,700 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 San Francisco, CA: $211,000 - $240,800 for Lead Machine Learning EngineerThis 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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.