Senior Machine Learning Engineer, Infrastructure

📋 Description

• Architect, scale, and maintain high-throughput, low-latency live inference infrastructure to
• Own the end-to-end feature store lifecycle—from ingestion and transformation to production serving
• Design and implement observability, monitoring, and validation frameworks to detect performance
• Collaborate with cross-functional partners to translate product requirements into robust, scalable
• Automate model deployment and reliability testing to improve developer velocity and ensure system
• Debug complex relevance systems when monitoring identifies performance bottlenecks or reliability

🎯 Requirements

• Deep experience building, deploying, and maintaining production-grade ML infrastructure at scale
• Strong background in distributed systems and backend engineering, with the ability to write robust
• Systematic approach to debugging complex, high-throughput systems and performance bottlenecks.
• Energy to build from 0 to 1 infrastructure that stands the test of time and provides a reliable
• Strong communication skills and ability to create clear documentation for system architectures and
• Growth mindset and attention to detail in code reviews to improve developer velocity.

🎁 Benefits

• Competitive salary with equity opportunities.
• Hybrid work model with in-office days in San Francisco/New York.
• Flexible time off, healthcare, and 401k with matching as part of Patreon’s benefits package.
• Supportive, diverse culture focused on creators and collaboration.