Capital One
Lead Machine Learning Engineer
Pimmit Hills, Virginia · Part-time
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Washington-Arlington-Alexandria, DC-VA-MD-WV. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
- The minimum and maximum full-time annual salaries for this role are listed below, by location.
- Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Responsibilities
- Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
- Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
- Retrain, maintain, and monitor models in production
- Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Requirements
- Bachelor's Degree
- At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
- At least 4 years of experience programming with Python, Scala, or Java
- At least 2 years of experience building, scaling, and optimizing ML systems
Nice to have
- 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 designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Compensation
- $197k-$225k
Benefits
- Lead Machine Learning EngineerAs 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.
Company info
- 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
Visa & Work Authorization
- At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e
This listing is sourced directly from Capital One's careers page and normalized into a canonical job model.