Senior Machine Learning Engineer – Production-Scale AI

Capital One; Virginia, Northern (MN, KY); Hybrid; USD 179,000 - 225,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer to design, build, and deploy ML models at scale. You will collaborate with Product and Data Science teams to solve real business problems and deliver production-ready ML solutions.

The role involves ML infrastructure decisions, model training, validation, and CI/CD practices within a cross-functional, Agile environment. Experience with cloud platforms and Kubernetes is essential.

Qualifications

• Bachelor-level degree or higher in CS/ML or quantitative field.
• 4+ years coding in Python/Java/Golang/C++.
• 4+ years ML experience with PyTorch or TensorFlow.
• 4+ years experience with distributed systems (Spark/Ray).
• 2+ years deploying ML in production on cloud and using Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Make ML infrastructure decisions based on modeling techniques, data, and features.
• Write and test application code, train models, and automate tests/deployments.
• Collaborate in an Agile team to create software for big data and ML apps.
• Retrain, monitor, and maintain models in production; ensure governance and security.

Skills

Python

PyTorch

TensorFlow

Java

Golang

C++

Spark

Ray

Kubernetes

Cloud

Education

Bachelor's degree or higher in Computer Science, Machine Learning or related field

Tools

Kubernetes

Docker

AWS

GCP

Azure

Spark

Ray

Job description

Capital One is seeking a Machine Learning Engineer to design, build, and deploy ML models at scale. You will collaborate with Product and Data Science teams to solve real business problems and deliver production-ready ML solutions.

The role involves ML infrastructure decisions, model training, validation, and CI/CD practices within a cross-functional, Agile environment. Experience with cloud platforms and Kubernetes is essential.