Lead ML Engineer: Scale Production AI Systems

Capital One; New York (NY); On-site; USD 197,000 - 246,000; Full time

Job summary

Capital One is seeking a Lead Machine Learning Engineer in New York, NY to join a fast-paced Agile team. You will design and deploy ML models at scale, build and optimize data pipelines, and collaborate with Product and Data Science to deliver production-ready ML systems.

The role emphasizes architectural design, model development, and deployments with modern ML frameworks, cloud platforms, and CI/CD practices.

Qualifications

• Bachelor’s Degree required; 6+ years in data-intensive distributed computing.
• At least 4 years Python/Scala/Java experience.
• 2+ years building ML systems.

Responsibilities

• Design, build, and deliver ML models and components solving real-world problems.
• Collaborate with Product and Data Science teams to inform ML infrastructure decisions.
• Retrain, monitor, and maintain models in production; ensure high availability.
• Construct optimized data pipelines for ML models and apply CI/CD practices.

Skills

Python

Scala/Java

ML systems

Distributed computing

CI/CD / MLOps

Education

Bachelor’s Degree

Master’s/PhD preferred

Tools

TensorFlow

PyTorch

Spark

Dask

Kubernetes

Job description

Capital One is seeking a Lead Machine Learning Engineer in New York, NY to join a fast-paced Agile team. You will design and deploy ML models at scale, build and optimize data pipelines, and collaborate with Product and Data Science to deliver production-ready ML systems.

The role emphasizes architectural design, model development, and deployments with modern ML frameworks, cloud platforms, and CI/CD practices.