
location_on2144, Cliffside Drive, Plano, Collin County, Texas, 75023, 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 data science innovation and real-world business impact, ensuring that machine learning solutions are not only theoretically sound but also robust, scalable, and high-performing in production environments.
This Senior Lead position sits at the intersection of Operations, Modeling, and Data Engineering. You will be responsible for the full lifecycle of machine learning applications, from detailed technical design and development to implementation and maintenance. Your work will directly influence how we solve complex business problems by leveraging state-of-the-art big data and ML technologies.
In this role, you will lead cross-functional collaboration with Product and Data Science teams to architect and deliver ML models that drive value. You will guide infrastructure decisions, ensuring that model selection, data pipelines, and feature engineering align with both technical constraints and business goals. A key part of your day involves fostering a culture of excellence by reviewing code, automating testing and deployment, and ensuring that all ML initiatives adhere to best practices in Responsible and Explainable AI.
As a leader, you will mentor teams developing ML solutions, driving the adoption of continuous integration and continuous deployment (CI/CD) best practices. You will also play a pivotal role in monitoring and retraining models in production, ensuring they remain performant and resilient over time.
We are committed to a fair and efficient hiring process. Candidates are encouraged to apply directly through our careers portal. Please note that we do not accept unsolicited resumes from agencies. If you require an accommodation during the application or interview process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
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. Capital One Financial is made up of several different entities, and we are proud to offer opportunities across our global footprint, including Capital One Canada, Capital One Europe, and Capital One Philippines Service Corp.
Work model: On-site
2144, Cliffside Drive, Plano, Collin County, Texas, 75023, United States
Plano, Texas
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.
Capital One • New York, New York
Capital One • McLean, Virginia
Capital One • Richmond, 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, electrical engineering, mathematics, or similar field preferred.