Senior Machine Learning Engineer, Infrastructure

Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators paid memberships, free memberships, community chats, live video, and one-time purchases. Our goal is to fund the creative class. We are looking for a Senior Machine Learning Engineer, Infrastructure to join the Relevance team, which builds ML systems for search, feed ranking, and creator-fan matching. This role is based in San Francisco or New York as an in-office 3 days per week on a hybrid work model.

• Architect, scale, and maintain high-throughput, low-latency live inference infrastructure to support relevance systems.
• Own the end-to-end feature store lifecycle—from ingestion and transformation to production serving, ensuring high availability and consistency between online and offline features.
• Design and implement observability, monitoring, and validation frameworks to detect performance gaps, latency spikes, and production drift.
• Collaborate with cross-functional partners (product, data engineering, trust and safety) to translate product requirements into robust, scalable infrastructure solutions.
• Automate model deployment and reliability testing to improve developer velocity and ensure system stability.
• Debug complex relevance systems when monitoring identifies performance bottlenecks or reliability issues.

• Deep experience building, deploying, and maintaining production-grade ML infrastructure at scale, specifically with low-latency live inference pipelines and feature store architectures.
• Strong background in distributed systems and backend engineering, with the ability to write robust, maintainable code in Python.
• Systematic approach to debugging complex, high-throughput systems and performance bottlenecks.
• Energized by building '0 to 1' infrastructure systems that stand the test of time.
• Strong communication skills and effective at creating clear documentation for system architectures and infrastructure strategies.
• Growth mindset, keen eye for detail in code reviews, and passion for empowering teammates by improving developer velocity.

Compensation: $212K – $318K plus equity.

Benefits: Equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, parental leave, and 401k plan with matching.