Roles

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

What you’ll do in the role:

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you’ll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.

Basic Qualifications:

Bachelor’s degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications:

Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Lead Machine Learning EngineerNew York, NY: $215,200 - $245,600 for Lead Machine Learning EngineerPlano, TX: $179,400 - $204,700 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 . 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).

Risk Manager, Card Data Management

Do you like working in the spotlight? Are you ready to work on the front line of a top 10 Bank? Can you build relationships as well as develop and implement innovative solutions?

Capital One’s Card Data Management (CDM) organization is the risk steward for ensuring a well managed data ecosystem for the organization. CDM serves as the governance function accountable for the data risk for the organization. CDM is on a transformational journey to build out the data governance control framework focusing on automation and preventative controls to unleash the business for future data needs including generative AI and new third party data.

The CDM Team is currently hiring for a Risk Manager who will support our risk and control function. As a key member of the CDM team, this role will be responsible for partnering closely with our Card business teams (data producers and consumers) to establish optimal quality and monitoring of the organization’s most important data. This role will also have the opportunity to work closely with eData to drive current and future data management tooling options for Card and Capital One.

This individual must possess a data management background as well as in-depth knowledge of processes, risks, and controls, be an amazing team player who creates positive relationships and a proven track record of driving improvements preferably including automation.

This role is ideal for someone with strong collaboration skills, who is capable of driving transformational change and delivering game-changing value. The preferred candidate will have experience working in Compliance and/or Risk Management organizations within a major financial company, with a solid understanding of process management frameworks, risk and control methodology, control testing methodology, and regulatory requirement management and applicability.

Responsibilities:

Designing, developing, and continuously improving the Card’s data management controls, while also autonomously driving the process to evaluate effectiveness of Card controls in adherence with the methodology
Partnering across the Card Data Producer organization to provide strategic and tactical thought-partnership to effectively drive and evolve control design and development
Maintain a strategic view of the control environment while driving enhancements
Building relationships and collaborating with key stakeholders
Deliver key results and metrics across the entire data management areas of focus

Basic Qualifications:

High School Diploma, GED or equivalent certification
At least 4 years of Compliance, Legal, Audit, or first or second line Risk Management experience in support of financial services,cyber, technology or data management
At least 3 years of Project or Process Management experience
At least 3 years of experience supporting, partnering and interacting with internal business clients

Preferred Qualifications:

Bachelor’s Degree
5+ years of Project Management experience leading cross functional projects and programs in Risk
5+ years of Compliance, Legal, Audit, or first or second line Risk Management experience
3+ years of experience in reporting and analyzing data
Professional certifications within risk management and/or assurance: Certified Risk Management Professional, Certified Internal Auditor, Certified Risk Management Assurance (CRMA) or Certified Regulatory Compliance Manager (CRCM)
PMP, Lean, Agile or Six Sigma certification

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: $151,900 - $173,400 for Risk ManagerRichmond, VA: $138,100 - $157,700 for Risk Manager