Senior ML Engineer, Real-Time Personalization (Remote)

Capital One; McLean (VA); Hybrid; USD 290,000 - 360,000; Full time

Job summary

Capital One seeks a Sr. Staff Machine Learning Engineer to lead real-time, personalized experiences across channels. You’ll architect and scale ML infrastructure, build end-to-end pipelines, and drive MLOps practices with cross-functional partners.

This remote-eligible role supports McLean, VA operations and offers performance-based incentives. Candidates should have strong software and AI systems expertise, experience in large-scale production environments, and a track record of delivering

Qualifications

• Bachelor’s degree in a technical field required.
• 10+ years designing and building data-intensive solutions with distributed computing.
• 7+ years programming in C, C++, Python, or Scala; 4+ years ML lifecycle experience.

Responsibilities

• Define and drive technical strategy and roadmap for the Personalization Platform.
• Collaborate with product, data science, cloud infra, and ML platform teams.
• Develop flexible rules engine for real-time personalization and segmentation.
• Build scalable ML infrastructure for feature extraction, training, testing, deployment.
• Design low-latency, event-driven real-time personalization systems.

Skills

C/C++/Python/Scala

Distributed computing

ML lifecycle

High-performance ML

Education

Bachelor's degree

Master's or PhD in CS or technical field

Tools

AWS

GCP

Azure

PyTorch

TensorFlow

Databricks

Airflow

Kubeflow

Job description

Capital One seeks a Sr. Staff Machine Learning Engineer to lead real-time, personalized experiences across channels. You’ll architect and scale ML infrastructure, build end-to-end pipelines, and drive MLOps practices with cross-functional partners.

This remote-eligible role supports McLean, VA operations and offers performance-based incentives. Candidates should have strong software and AI systems expertise, experience in large-scale production environments, and a track record of delivering