Senior Lead ML Engineer - Build & Scale Production AI

Capital One; Virginia (MN); On-site; USD 229,000 - 262,400; Full time

Job summary

Capital One is seeking a Sr. Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale. You will design, build, and deploy ML models, collaborate with Product and Data Science teams, and ensure scalable data pipelines and reliable monitoring across cloud platforms.

The role emphasizes parallel leadership of ML projects, architectural decisions, and applying best practices in responsible AI while delivering high-availability systems.

Qualifications

• Bachelor’s degree in a related field; Master’s preferred.
• 8+ years designing data-intensive solutions and distributed systems.
• 4+ years programming with Python, Scala, or Java and ML systems.
• 3+ years leading ML solution teams and production deployments.

Responsibilities

• Design, build, and deliver ML models and components with product/DS teams.
• Inform ML infrastructure choices including data, features, and validation.
• Write and test application code, retrain and monitor models in production.
• Collaborate in an Agile, cross-functional team to enable scalable ML apps.
• Ensure governance, CI/CD, and responsible/ explainable AI practices.

Skills

Python

Distributed systems

ML modeling

Cloud (AWS/Azure/GCP)

CI/CD

Education

Master's degree in CS or related

Bachelor's degree

Tools

TensorFlow/PyTorch

Spark

Scikit-learn

Job description

Capital One is seeking a Sr. Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale. You will design, build, and deploy ML models, collaborate with Product and Data Science teams, and ensure scalable data pipelines and reliable monitoring across cloud platforms.

The role emphasizes parallel leadership of ML projects, architectural decisions, and applying best practices in responsible AI while delivering high-availability systems.