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Lead Machine Learning Engineer
Summary by AIEngineer.careers
Lead Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Capital One. in BOSTON, US. Compensation shown: $179K–$205K. Imported listing (source: dice.com). Apply on the employer's site (dice.com).
Imported listing (source: dice.com) · Apply on dice.com
BOSTON · US
$179K–$205K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from dice.com
Capital One is seeking a Lead Machine Learning Engineer to design, build, and productionize ML applications at scale, with a specific focus on enterprise-wide AI coding tools. The role involves collaborating with cross-functional Agile teams to develop robust ML models, optimize data pipelines, and ensure high availability and performance using cloud-based architectures. Candidates will drive responsible AI practices, automate deployments, and mentor engineering teams while leveraging modern ML frameworks and distributed computing systems.
Responsibilities
- Design and deliver ML models and components to solve real-world business problems
- Develop and validate ML models, automating tests and deployment processes
- Build and optimize data pipelines to feed ML models at scale
- Ensure high availability, performance, and governance of ML applications
- Collaborate with Product and Data Science teams in an Agile environment
Requirements
- Bachelor's degree in Computer Science or related field
- 6+ years designing data-intensive solutions using distributed computing
- 4+ years programming in Python, Scala, or Java
- 2+ years building, scaling, and optimizing ML systems
- Experience with public cloud platforms (AWS, Azure, GCP)
Capital One
McLean · US · 51411+ employees
Capital One is a diversified financial services holding company headquartered in McLean, Virginia. It offers banking and non-banking subsidiaries and provides a broad array of financial products and services to consumers, small businesses, and commercial clients through digital channels, branch locations, cafés, and other distribution channels.
