Senior Machine Learning Engineer - Production AI & Scale

Capital One Group; McLean (VA); Hybrid; USD 230,000 - 262,000; Full time

Job summary

Capital One seeks a Machine Learning Engineer to design, build, and scale ML models and data pipelines in a fast-paced, collaborative environment. You will work with Product and Data Science teams to deliver production-grade ML solutions.

Ideal candidates have substantial experience with PyTorch or TensorFlow, distributed systems (Spark/Ray), cloud platforms (AWS/GCP/Azure) and CI/CD practices to ensure reliable deployments and governance.

Qualifications

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

Responsibilities

• Design, build, and deliver ML models and components with product teams.
• Scale multi-tenant platforms for training and serving ML at scale.
• Prepare data pipelines and training workflows for production.
• Collaborate in an Agile cross-functional team and monitor models in production.
• Apply Responsible AI and model governance practices.

Skills

Python

Java

Golang

C++

Spark

Ray

AWS

GCP

Azure

Kubernetes

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Jupyter

Docker

Airflow

CI/CD tooling

Job description

Capital One seeks a Machine Learning Engineer to design, build, and scale ML models and data pipelines in a fast-paced, collaborative environment. You will work with Product and Data Science teams to deliver production-grade ML solutions.

Ideal candidates have substantial experience with PyTorch or TensorFlow, distributed systems (Spark/Ray), cloud platforms (AWS/GCP/Azure) and CI/CD practices to ensure reliable deployments and governance.