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Senior Machine Learning Engineer (Remote-Eligible)

Capital One
Senior Machine Learning Engineer (Remote-Eligible)
Richmond, VA
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Job Description

West Creek 4 (12074), United States of America, Richmond, Virginia

Senior Machine Learning Engineer (Remote-Eligible)

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 (ML) 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:

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

  • Design, build, and deliver software systems that support ML models that solve business problems

  • Implement software solutions with modular architecture and generic design, so that solutions can be applied to more than a single use case

  • Work in collaboration with with Product and Data Science teams

  • Construct optimized data pipelines to feed ML models

  • Inform Machine Learning 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

  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring

  • Ensure code is well-managed to reduce cyber vulnerabilities and to be well-governed from a risk perspective

  • Be aware of future ML needs and use that awareness to inform what data should be captured now to enable training datasets in the future

  • Primarily use Python, with Scala or Java as needed

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

  • Monitor ML models in production

Capital One is open to hiring a Remote Employee for this opportunity.

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 Machine Learning systems

  • 1+ years of experience with Natural Language Processing

  • 1+ years of experience with data gathering and preparation for Machine Learning models

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

  • 2+ years of experience with SQL

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

  • 3+ years of experience with distributed computing systems

  • 5+ years of experience programming with Python, Scala, or Java

  • Open source software development experience

  • 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

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.

Location is New York City

- $156,596 and $184,748 for Senior Machine Learning Engineer

Location is Colorado

- $132,699 and $156,555 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.

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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