Lead Machine Learning Engineer — Scale ML in Production

Capital One Group; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale. You will participate in design, development, and implementation of ML systems using modern platforms.

The role emphasizes ML architectural design, model and code review, and ensuring high availability and performance. You will collaborate with product and data science teams to deliver real-world impact.

Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, or a related field.
• 4+ years programming with Python, Scala, or Java.
• 2+ years building, scaling, and optimizing ML systems.
• 6+ years designing and building data-intensive solutions using distributed computing.

Responsibilities

• Design, build, and deliver ML models and components with product and data science teams.
• Inform ML infrastructure decisions, including model choice, data, and features.
• Retrain, maintain, and monitor models in production and automate tests/deployments.
• Collaborate in a cross-functional Agile team to build scalable ML applications and pipelines.

Skills

Python

Scala

Java

Distributed computing

Education

Bachelor's Degree

Tools

scikit-learn

PyTorch

Dask

Spark

TensorFlow

Job description

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale. You will participate in design, development, and implementation of ML systems using modern platforms.

The role emphasizes ML architectural design, model and code review, and ensuring high availability and performance. You will collaborate with product and data science teams to deliver real-world impact.