
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 data science innovation and real-world business impact, ensuring that machine learning solutions are robust, scalable, and ready for the demands of a financial services environment.
This position serves as a critical intersection of Ops, Modeling, and Data Engineering. You will be responsible for the end-to-end lifecycle of machine learning applications, from detailed technical design and development to implementation and maintenance. Your work will focus on architectural design, code review, and ensuring high availability and performance for our ML systems.
In this role, you will collaborate closely with Product and Data Science teams to solve complex business problems. You will leverage your understanding of ML modeling techniques to inform infrastructure decisions, including model selection, feature engineering, and validation strategies. The day-to-day involves writing and testing application code, automating tests and deployment, and constructing optimized data pipelines. You will also play a key role in retraining, maintaining, and monitoring models in production, ensuring they adhere to best practices in Responsible and Explainable AI.
Candidates are expected to submit their applications directly through our careers portal. We review applications on a rolling basis, with a minimum acceptance window of 5 business days. Please note that we do not accept applications from agencies.
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 qualified applicants with a criminal history in a manner consistent with legal requirements.
We are committed to providing reasonable accommodations for applicants with disabilities. If you require an accommodation during 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.
Note: At this time, Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
Work model: On-site
Skills: Machine Learning, Python, Scala, Java, Distributed Computing, Scikit-Learn, Pytorch, Dask, Spark, Tensorflow.
Education: Bachelor's degree required; Master's or doctoral degree in computer science, electrical engineering, mathematics, or similar field preferred.
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. 3+ years of experience building production-ready data pipelines that feed ML models. 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. 2+ years of experience developing performant, resilient, and maintainable code. 2+ years of experience with data gathering and preparation for ML models. 2+ years of people leader experience. 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation. 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. ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents.
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