
location_onFairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States
As a Capital One Machine Learning Engineer (MLE), you will join an Agile team dedicated to productionizing machine learning applications and systems at scale. Our mission is to bridge the gap between advanced data science and real-world business impact, ensuring that machine learning solutions are not only innovative but also robust, secure, and performant in a high-stakes financial environment.
This Senior Lead position sits at the intersection of Operations, Modeling, and Data Engineering. You will be responsible for the end-to-end lifecycle of machine learning systems, from detailed technical design and architectural decisions to the development, deployment, and monitoring of models in production.
In this role, you will collaborate closely with Product and Data Science teams to solve complex, real-world business problems. Your day-to-day involves making critical infrastructure decisions regarding model selection, data pipelines, and feature engineering while ensuring high availability and performance. You will champion best practices in Responsible and Explainable AI, ensuring all code is well-managed and models are governed from a risk perspective. As a leader, you will also guide teams in developing state-of-the-art software that enables big data and ML applications, fostering a culture of continuous learning and innovation.
Capital One is committed to a fair and transparent hiring process. We typically begin with an initial screening to discuss your background and the role's expectations. This is followed by technical assessments and interviews focused on system design, coding proficiency, and leadership capabilities. The process is designed to evaluate both your technical depth and your ability to collaborate within a cross-functional Agile team.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws.
We foster an inclusive culture where diverse backgrounds and perspectives are valued. If you require an accommodation to apply for a position or to participate in the recruiting process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Work model: On-site
Fairfax County Fire Station Number 1, McLean, 1455, Laughlin Avenue, Bryn Mawr, McLean, Fairfax County, Virginia, 22101, United States
McLean, Virginia
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. 3+ years of experience developing performant, resilient, and maintainable code. 3+ years of experience with data gathering and preparation for ML models. 3+ years of people management experience. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents. 3+ years of experience building production-ready data pipelines that feed ML models. Ability to communicate complex technical concepts clearly to a variety of audiences. Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.
Capital One • New York, New York
Capital One • Richmond, Virginia
Capital One • McLean, Virginia
Skills: Machine Learning, Python, Scala, Java, Aws, Azure, Google Cloud Platform, Scikit-Learn, Pytorch, Dask.
Education: Bachelor's Degree required; Master's or Doctoral Degree in computer science preferred; Master's or Doctoral Degree in computer science preferred.