Lead ML Engineer: Scale & Production Systems

Socket.dev; Chicago (IL); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One seeks a Lead Machine Learning Engineer to join an Agile team tasked with productionizing ML applications at scale. You will design, build, and implement ML models and ML infrastructure to support data-driven business decisions.

The role involves cross-functional collaboration across Ops, Modeling, and Data Engineering, with emphasis on scalable data pipelines, model governance, and Responsible AI practices. Strong Python/Scala/Java coding skills are required.

Qualifications

• Bachelor’s degree required; 4+ years of Python/Scala/Java experience; 2+ years building ML systems.
• Strong experience with distributed computing and data-intensive solutions.
• Experience with productionizing ML models and pipelines.

Responsibilities

• Design, build, and deliver ML models and components at scale with cross-functional teams.
• Inform ML infrastructure decisions including data, model selection, and training processes.
• Retrain, maintain, and monitor models in production; ensure CI/CD for ML apps.

Skills

Python

Scala

Java

Education

Bachelor’s Degree

Master’s or Doctoral Degree

Tools

scikit-learn

PyTorch

TensorFlow

Spark

Dask

Job description

Capital One seeks a Lead Machine Learning Engineer to join an Agile team tasked with productionizing ML applications at scale. You will design, build, and implement ML models and ML infrastructure to support data-driven business decisions.

The role involves cross-functional collaboration across Ops, Modeling, and Data Engineering, with emphasis on scalable data pipelines, model governance, and Responsible AI practices. Strong Python/Scala/Java coding skills are required.