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Distinguished Machine Learning Engineer
Capital OneMachine Learning Engineer at Capital One delivering scalable ML applications while collaborating with cross-functional teams. Driving innovation in financial services with a focus on risk technology.
Posted 4/14/2026full-timeMcLean • California, New York, Virginia • 🇺🇸 United StatesSeniorLead💰 $269,100 - $335,100 per yearWebsite
Tech Stack
Tools & technologiesCloudNumpyPandasPythonScalaScikit-Learn
About the role
Key responsibilities & impact- Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
- Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
- Lead large-scale ML initiatives with the customer in mind
- Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
- Optimize data pipelines to feed ML models
- Use programming languages like Python, Scala, C/C++
- Leverage compute technologies such as Dask and RAPIDS
- Evangelize best practices in all aspects of the engineering and modeling lifecycles
- Help recruit, nurture, and retain top engineering talent
Requirements
What you’ll need- Bachelor’s degree
- At least 10 years of experience designing and building data-intensive solutions using distributed computing
- At least 6 years of experience programming in C, C++, Python, or Scala
- At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting
- Master’s Degree (preferred)
- 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models (preferred)
- 2+ years of experience using Dask, RAPIDS, or in High Performance Computing (preferred)
- 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) (preferred)
Benefits
Comp & perks- Comprehensive health insurance
- Competitive bonuses
- Flexible work arrangements
- Professional development opportunities
- Inclusive benefits supporting total well-being
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata pipelinesdistributed computingPythonScalaCC++DaskRAPIDSPyData
Soft Skills
collaborationleadershiprecruitmentnurturing talentcommunication
Certifications
Bachelor's degreeMaster's degree