Staff ML Engineer — Lead Scalable AI Systems

Capital One Group; Plano (TX); On-site; USD 245,000 - 307,000; Full time

Job summary

Capital One is seeking a Staff Machine Learning Engineer to build and scale ML models and production systems in Plano, TX or McLean, VA. You will work with product, architecture, and data science teams to deliver robust AI solutions in finance.

The role emphasizes deploying ML in cloud, optimizing pipelines, and leading engineers. Excellent programming, distributed systems, and ML framework experience are required, with a focus on mentorship and leadership.

Qualifications

• Bachelor's degree or higher in CS/ML or related field.
• 8+ years programming with Python/Java/Golang/C++, 6+ with distributed systems.
• 6+ years deploying ML in production on cloud platforms and Kubernetes.

Responsibilities

• Deliver ML models and software components solving business problems in financial services.
• Lead large-scale ML initiatives with customer focus and collaboration across teams.
• Leverage cloud architectures to deploy optimized ML models at scale.
• Improve data pipelines feeding ML models and train/inference workflows.
• Promote best practices in ML engineering lifecycles and mentorship.

Skills

Python

Java

Golang

C++

Education

Bachelor's degree or higher in CS/ML or related field

Tools

Spark

Ray

Kubernetes

AWS

GCP

Azure

PyTorch

TensorFlow

Job description

Capital One is seeking a Staff Machine Learning Engineer to build and scale ML models and production systems in Plano, TX or McLean, VA. You will work with product, architecture, and data science teams to deliver robust AI solutions in finance.

The role emphasizes deploying ML in cloud, optimizing pipelines, and leading engineers. Excellent programming, distributed systems, and ML framework experience are required, with a focus on mentorship and leadership.