Senior Machine Learning Engineer, Safety

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 video, and selling to fans directly with one-time purchases.

Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with:

- $10 billion+ generated by creators since Patreon's inception

- 100 million+ free memberships for fans who may not be ready to pay just yet, and

- 25 million+ paid memberships on Patreon today.

We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Machine Learning Engineer to support our mission.

This role is based in San Francisco or New York as an in-office 2 days per week on a hybrid work model or Remote.

About the Team

This role is part of the Safety Engineering team at Patreon. Safety Engineering is responsible for using engineering techniques to reduce risks to creators, fans, and Patreon. This includes content moderation, fraud detection, and account integrity. You’ll be joining a team with established machine learning engineers, with experience putting ML models into production to drive real impact. We partner closely with policy and Trust & Safety Operations to accomplish our mission. This team is part of Patreon’s risk org which includes Safety Engineering, Identity Engineering, and Information Security teams.

About the Role

- Explore data and real-world cases to develop signals and machine learning models that identify and reduce platform risk.

- Partner with cross-functional teams (product, engineering, design, legal, Trust & Safety) to design practical ML solutions that fit real workflows.

- Analyze and prepare training data, including working with crowdsourced labeling and human-in-the-loop processes.

-...