Senior ML Engineer for Real-Time Personalization (Remote)

Capital One; Boise (ID); Remote; USD 286,000 - 327,000; Full time

Job summary

Capital One is seeking a Sr Distinguished Machine Learning Engineer for a remote-eligible role supporting real-time, personalized customer experiences. You will lead architecture, ML infrastructure, and MLOps, partnering with cross-functional teams to advance a high-performance personalization platform.

Ideal candidates have 10+ years of distributed data systems experience, strong Python/C++/Java/Golang skills, and a track record of production ML deployment on cloud platforms.

Qualifications

• Bachelor’s degree in a relevant field.
• 10+ years designing data-intensive solutions using distributed computing.
• 7+ years programming in Python, C++, Java, or Golang.
• 4+ years ML development lifecycle in production environments.
• Experience with cloud platforms and ML tooling.

Responsibilities

• Define and drive technical strategy for our Personalization Platform.
• Partner with Product, Data Science, Cloud infra, and ML Platform teams.
• Develop scalable ML infrastructure and end-to-end pipelines.
• Architect low-latency, event-driven personalization systems.
• Lead MLOps improvements with automated deployment and monitoring.
• Evaluate state-of-the-art techniques for optimizing training and inference.

Skills

Python

C++

Java

Golang

Distributed computing

ML deployment

Education

Bachelor’s degree

Master's degree or PhD

Tools

AWS

HuggingFace

PyTorch

TensorFlow

Docker

Kubernetes

Databricks

Airflow

Kubeflow

Job description

Capital One is seeking a Sr Distinguished Machine Learning Engineer for a remote-eligible role supporting real-time, personalized customer experiences. You will lead architecture, ML infrastructure, and MLOps, partnering with cross-functional teams to advance a high-performance personalization platform.

Ideal candidates have 10+ years of distributed data systems experience, strong Python/C++/Java/Golang skills, and a track record of production ML deployment on cloud platforms.