Overview

Center 1 (19052), United States of America, McLean, 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 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. 

Team Info:

The Model Development team provides one of the largest notebook platforms used by Capital One data science and analytics teams for data exploration and model development. We leverage Kubernetes and Open Source Software (e.g. Kubeflow) to scale out our offering to thousands of users and use cases within the enterprise. We provide tools built with Dask, Spark, and GPUs in order to accelerate data exploration.

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 deliver ML platform components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. 

• Maintain data processing libraries and ML environments for informing ML best practices and performance

• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver solutions for all aspects of the ML pipeline (analysis, training, serving).

• Maintain secure container images and infrastructure

• Solve complex problems by writing and testing application code, developing and validating ML model solutions, 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. 

• 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 Go, Python, or Scala. 

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:

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

• 2+ years of experience with container orchestration technologies such as Docker,  Kubernetes, ECS

• 2+ years of experience with MLOps / workflow technologies such as Kubeflow, Airflow, Prefect

• 1+ years of experience building, scaling, and optimizing ML systems

• 1+ years of experience with distributed file systems or multi-node database paradigms

• 1+ years of 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 

• Contributed to open source software 

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 - $184,748 for Senior Machine Learning Engineer

Location is San Francisco, California: $165,896 - $195,720 for Senior Machine Learning Engineer

Remote roles in other areas of New York & California, and across Colorado & Washington: $132,699 - $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.

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.

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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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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).