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Closed on September 3, 2026.
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Distinguished Machine Learning Engineer
Manager
Ai Ml
Artificial Intelligence
Big Data
Data Analysis
Data Analytics
Data Engineer
Data Engineering
Data Pipeline
Data Platform
Data Processing
Data Science
DevOps
Engineer
Machine Learning
Machine Learning Engineer
Ml Ops
Programming
Programming Language
Programming Languages
scikit-learn
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Job Description
Capital One seeks a Distinguished Machine Learning Engineer to lead production ML initiatives and scale intelligent systems in the financial services industry.
Responsibilities
- Deliver machine learning models and software components for challenging business problems in financial services
- Collaborate with Product, Architecture, Engineering, and Data Science teams to design and implement ML applications
- Drive creation and evolution of ML models and software enabling state-of-the-art intelligent systems
- Lead large-scale ML initiatives with a customer-focused approach
- Use cloud-based architectures and technologies to deliver optimized ML models at scale
- Optimize data pipelines that feed ML models
- Share and promote best practices across engineering and modeling lifecycles
- Help recruit, nurture, and retain top engineering talent
Requirements
- Bachelor’s degree
- 10+ years of experience designing and building data-intensive solutions using distributed computing
- 6+ years of experience programming in C, C++, Python, or Scala
- 3+ years of experience across the full ML development lifecycle using modern technology in a business-critical setting
- Master’s Degree
- 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models
- 2+ years of experience using Dask, RAPIDS, or High Performance Computing
- 2+ years of experience with the PyData ecosystem (NumPy, Pandas, Scikit-learn)
- Ability to communicate complex technical concepts clearly to a variety of audiences
- ML industry impact via conference presentations, papers, blog posts, or open source contributions
- Ability to attract and develop high-performing software engineers with an inspiring leadership style
- Capital One may consider sponsoring a new qualified applicant for employment authorization for this position
Tech Stack
- C, C++, Python, Scala
- Dask, RAPIDS
- NumPy, Pandas, Scikit-learn
Location
- McLean, VA (onsite)
Compensation
- USD 269,100 - 307,200 per year
Benefits
- Eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)