Senior Machine Learning Engineer & Tech Lead

Capital One; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 5 to lead ML model design, training, and deployment in a scalable, collaborative environment. You will work with product, data science, and ops teams to build AI-powered risk and compliance solutions.

The role emphasizes production-ready ML systems, cloud-based architectures, and responsible AI practices, with opportunities to drive end-to-end ML pipelines and model monitoring in production.

Qualifications

• Bachelor's degree or higher in Computer Science, ML or related quantitative field.
• 6+ years programming in Python/Java/Golang/C++.
• 6+ years ML experience with PyTorch or TensorFlow and libraries.
• 6+ years working with large scale distributed systems (Spark, Ray).
• 4+ years deploying ML solutions in production on cloud and using Kubernetes.

Responsibilities

• Design, build and deliver ML models and components with Product/Data Science teams.
• Scale multi-tenant platforms for training and serving at scale.
• Inform ML infra decisions on model choice, data, features, and training.
• Write, test and deploy production-grade ML code and tests.
• Collaborate in Agile teams to enable state-of-the-art big data/ML apps.
• Retrain, monitor, and maintain models in production.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Kubernetes

Education

Bachelor's degree in CS/Math/related

Tools

AWS

GCP

Azure

Job description

Capital One is seeking a Machine Learning Engineer 5 to lead ML model design, training, and deployment in a scalable, collaborative environment. You will work with product, data science, and ops teams to build AI-powered risk and compliance solutions.

The role emphasizes production-ready ML systems, cloud-based architectures, and responsible AI practices, with opportunities to drive end-to-end ML pipelines and model monitoring in production.