Senior Machine Learning Engineer

Capital One is leveraging machine learning and generative AI to deliver personalized financial experiences at scale. As a Senior Machine Learning Engineer, you will lead the architecture and engineering strategy for Hyper-Personalization infrastructure and drive high-impact ML initiatives across various customer channels.

Responsibilities:

• Define and execute the multi-year platform roadmap for multi-channel personalization and recommendation systems across all Capital One products
• Architect low-latency, event-driven streaming systems capable of real-time dynamic decisioning and personalization using continuous behavioral signals
• Design and maintain scalable ML infrastructure for feature extraction, model training, deployment, and monitoring. Build automated, metrics-backed CI/CD and MLOps deployment workflows
• Co-develop flexible, dynamic rules engines to combine business targeting logic with advanced ML/AI-driven recommendation systems
• Implement state-of-the-art LLM optimization techniques to optimize hardware utilization, lower throughput costs, and reduce latency for large-scale production AI systems
• Partner with Product, Data Science, Cloud Infrastructure, and Platform engineering teams to align strategies and set company-wide technical standards