Senior ML Engineer — Production at Scale

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking an experienced Machine Learning Engineer to productionize ML applications at scale. You will design, implement, and optimize ML solutions, collaborating across Ops, Modeling, and Data Engineering teams in an Agile environment.

Responsibilities include building robust ML models, selecting data and features, and ensuring production readiness with CI/CD and monitoring. A strong foundation in Python/Scala/Java and cloud platforms is required.

Qualifications

• Bachelor’s degree required.
• 6+ years designing and building data-intensive solutions using distributed computing.
• 4+ years programming with Python, Scala, or Java.
• 2+ years building, scaling, and optimizing ML systems.

Responsibilities

• Design, build, and deliver ML models and components that solve real-world business problems, collaborating with Product and Data Science teams.
• Inform ML infrastructure decisions including model, data, feature selection, training, and validation.
• Develop and test application code, train/validate ML models, and automate tests and deployment.
• Collaborate in a cross-functional Agile team to create software for big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage cloud architectures to deliver optimized ML models at scale.

Skills

Python

Scala

Java

Distributed computing

ML deployment

CI/CD

Education

Bachelor's degree

Master's degree

PhD

Tools

scikit-learn

PyTorch

Dask

Spark

TensorFlow

Job description

Capital One is seeking an experienced Machine Learning Engineer to productionize ML applications at scale. You will design, implement, and optimize ML solutions, collaborating across Ops, Modeling, and Data Engineering teams in an Agile environment.

Responsibilities include building robust ML models, selecting data and features, and ensuring production readiness with CI/CD and monitoring. A strong foundation in Python/Scala/Java and cloud platforms is required.