
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 by building robust, high-performance ML infrastructure.
This role sits at the intersection of Operations, Modeling, and Data Engineering. You will be responsible for the end-to-end lifecycle of machine learning solutions, from technical design and development to deployment and monitoring. Your work will directly influence how we solve complex business problems using state-of-the-art big data and ML technologies.
In this position, you will collaborate closely with Product and Data Science teams to design, build, and deliver ML models that drive tangible results. You will leverage your understanding of ML modeling techniques to make informed infrastructure decisions, ensuring that model selection, data pipelines, and feature engineering are optimized for performance and scalability. A key part of your day will involve maintaining and retraining models in production, ensuring they remain accurate and reliable over time.
We value a culture of continuous learning and innovation. You will have the opportunity to apply the latest advancements in machine learning engineering, utilizing cloud-based architectures and platforms to deliver optimized solutions. Throughout the process, you will champion best practices in Responsible and Explainable AI, ensuring all code is well-managed, models are governed from a risk perspective, and vulnerabilities are minimized.
We are committed to a fair and transparent hiring process. Applications for this role are accepted for a minimum of 5 business days. We encourage you to review the requirements and qualifications to ensure a strong fit before applying. Please note that we do not accept applications from agencies for this position.
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 the requirements of applicable laws.
We foster an inclusive environment 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.
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.
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. 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.
Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.