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R167226 Posted 03/30/2023

Director, Machine Learning Engineering (Enterprise Feature Platform)

McLean, Virginia | New York, New York
  • Category Engineering
  • Experience Director
  • Primary Address McLean, Virginia


Locations: VA - McLean, United States of America, McLean, Virginia

Director, Machine Learning Engineering (Enterprise Feature Platform)

As a Director of Enterprise Feature Platform at Capital One Machine Learning Engineer, you'll be providing technical thought and execution leadership to Agileteams dedicated to productionizing data machine learning  capabilities and applications and systems at scale. You’llparticipate in the detailed technical design, development, and implementation and support of machinelearning Feature Platform and its capabilitiesapplications using existing and emerging technology platforms. Working within an Agileenvironment, you’ll serve as a technical domain expert in machine learning, guiding machinelearning, data processing, data serving  architectural design decisions, developing and reviewing model and application code,and ensuring high availability and performance of our Feature Platform machine learning applications. You'll havethe opportunity to continuously learn and apply the latest innovations and best practices inmachine learning engineering. You’ll also mentor managers and other engineers and further develop yourtechnical expertise, knowledge and skills to keep Capital One at the cutting edge of technology. 

What you’ll do in the role: 

● Deliver technology platform ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture,Engineering, and Data Science teams. 

● Drive the platform creation and evolution of ML models and software that enable state-of-the-art intelligent systems. 

● Lead and deliver large-scale ML platform ecosystem initiatives with the customer in mind. 

● Leverage cloud-based architectures and technologies to deliver optimized ML models atscale. 

● Optimize delivery, performance and quality of the platform data pipelines to feed ML models. 

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

● Evangelize best practices in all aspects of the engineering and modeling lifecycles.

● Recruit, nurture, and retain top engineering talent. 

Basic Qualifications 

● Bachelor’s degree. 

● At least 10 years of experience designing and building data-intensive solutions using distributed computing. 

● At least 6 years of experience programming with Python, Scala, or Java.

● At least 5 years of people management experience. 

● At least 5 years of experience leading platform software engineering teams. 

● At least 3 years of experience with the full ML development lifecycle

Preferred Qualifications 

● Master's or doctoral degree in computer science, electrical engineering or mathematics.

● At least 3 years of experience building production-ready data pipelines that feed ML models. 

● At least 8 years of experience within a data-intensive multi-line business environment.

● Expertise designing, implementing, and scaling complex production-ready data pipelinesfor ML models. 

● Strong interpersonal, presentation, and communications skills. 

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

● Ability to attract and develop high-performing software engineers with an inspiringleadership style. 

At this time, Capital One will not sponsor a new applicant for employment authorization for thisposition.

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.

Location is New York City: $269,400 - $307,500 for Director, 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 theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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