Senior Machine Learning Engineer Production AI & Pipelines

Capital One; United States; Remote; USD 179,000 - 246,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 4 to design, build, and deploy ML models across multiple business areas. You will work with Product and Data Science teams to deliver scalable ML solutions in production environments, using PyTorch/TensorFlow, distributed systems, and cloud platforms.

The role requires 4+ years in ML, strong coding skills (Python/Java/C++), and experience with Kubernetes and CI/CD. Locations include McLean, NY, Philadelphia, Richmond, Wilmington.

Qualifications

• Bachelor's degree in CS or related quantitative field.
• 4+ years programming experience in Python, Java, Golang, or C++.
• 4+ years ML experience with PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn).
• 4+ years using distributed systems (Spark, Ray) for AI/ML data.
• 2+ years deploying ML solutions in production and operating cloud-based services (AWS/GCP/Azure) and Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components solving real-world business problems.
• Inform ML infrastructure decisions with model selection, data, and feature choices.
• Write and test application code, train/validate models, and automate tests and deployments.
• Collaborate in a cross-functional Agile team to enable state-of-the-art ML apps and data pipelines.
• Retrain, monitor, and maintain models in production.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Ray

Kubernetes

AWS

GCP

Azure

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Spark

Ray

Kubernetes

AWS

GCP

Azure

Job description

Capital One is seeking a Machine Learning Engineer 4 to design, build, and deploy ML models across multiple business areas. You will work with Product and Data Science teams to deliver scalable ML solutions in production environments, using PyTorch/TensorFlow, distributed systems, and cloud platforms.

The role requires 4+ years in ML, strong coding skills (Python/Java/C++), and experience with Kubernetes and CI/CD. Locations include McLean, NY, Philadelphia, Richmond, Wilmington.