Senior ML Engineer — Scale Production AI Models

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

Job summary

Capital One in McLean, VA seeks a Machine Learning Engineer 5 to design, build, and scale production ML models in collaboration with product and data science teams. You will work on multi-tenant platforms, data pipelines, and ML infrastructure in the cloud.

You will deploy models using Python/Java/Golang/C++, choose frameworks like PyTorch or TensorFlow, and apply responsible AI practices while delivering secure, scalable solutions at scale.

Qualifications

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

Responsibilities

• Design, build, and deliver ML models and components with product and DS teams.
• Build and scale multi-tenant platforms for large footprint ML training/serving.
• Inform ML infra decisions: data, features, model choice, validation.
• Write production-ready code, automate tests, and deploy ML models.
• Collaborate in an Agile team to enable state-of-the-art big data/ML apps.

Skills

Python

Java

Golang

C++

ML model design

Education

Bachelor's Degree in CS, ML or related field

Tools

PyTorch

TensorFlow

Spark

Kubernetes

Job description

Capital One in McLean, VA seeks a Machine Learning Engineer 5 to design, build, and scale production ML models in collaboration with product and data science teams. You will work on multi-tenant platforms, data pipelines, and ML infrastructure in the cloud.

You will deploy models using Python/Java/Golang/C++, choose frameworks like PyTorch or TensorFlow, and apply responsible AI practices while delivering secure, scalable solutions at scale.