Senior Machine Learning Engineer, Infrastructure

Patreon · New York

Posted
6 days ago
Last confirmed live
2 days ago

What this role involves

Patreon is seeking a Senior Machine Learning Engineer to join the Relevance team, focusing on building and scaling ML infrastructure for search, feed ranking, and creator-fan matching. The role involves architecting high-throughput, low-latency inference systems, owning the feature store lifecycle, and implementing observability frameworks. The position is hybrid, based in San Francisco or New York, requiring in-office presence 3 days per week.

Skills this posting asks for

  • machine learning
  • infrastructure
  • python
  • distributed systems
  • backend engineering
  • feature store
  • live inference
  • observability
  • monitoring
  • model deployment
  • reliability testing
  • search
  • feed ranking
  • creator-fan matching

Requirements

  • Level: senior
  • Remote policy: hybrid

From the employer’s posting

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 a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live vid…

Read the full description on Patreon’s careers page

Apply without filling the form

Approve this role and the application is completed for you, including a résumé tailored to it. You get a confirmation when it lands, and a credit is only spent when a submission is confirmed.

Other roles at Patreon

All 3 roles at Patreon