Senior ML Engineer — Foundations & Production

Capital One Group; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 4 to advance ML foundations. You will design and deploy production ML models, build scalable data pipelines, and collaborate with cross-functional teams to deliver impactful AI solutions across cloud platforms.

The role emphasizes production readiness, responsible AI practices, and continuous delivery in an agile environment with diverse teams.

Qualifications

• Bachelor’s degree in CS or related quantitative field.
• 4+ years programming with Python, Java, Golang, or C++.
• 4+ years ML experience with PyTorch or TensorFlow.
• 4+ years experience with large-scale distributed systems (Spark, Ray).
• 2+ years deploying ML in production on cloud and using Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components with Product/Data Science teams.
• Inform ML infrastructure decisions with model/data selection and validation.
• Write and test application code, develop and validate ML models, and automate tests/deployment.
• Collaborate in a cross-functional Agile team to enable scalable ML apps.
• Retrain, monitor, and maintain models in production.
• Build and optimize data pipelines for ML training/evaluation.
• Apply CI/CD, test automation, and monitoring for reliable deployments.

Skills

Python/Java/Golang/C++

ML frameworks

Distributed systems

Cloud & Kubernetes

Production ML

Education

Bachelor's degree in CS or related

Tools

PyTorch

TensorFlow

Spark

Ray

Job description

Capital One is seeking a Machine Learning Engineer 4 to advance ML foundations. You will design and deploy production ML models, build scalable data pipelines, and collaborate with cross-functional teams to deliver impactful AI solutions across cloud platforms.

The role emphasizes production readiness, responsible AI practices, and continuous delivery in an agile environment with diverse teams.