Staff Machine Learning Engineer, Relevance
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 Staff 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.
About the Role
- Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact.
- Collaborate with cross-functional partners, such as product, engineering, design, legal, and trust and safety to design effective machine learning solutions.
- Analyze and prepare training data, including using crowdsourcing data labeling techniques.
- Train and iterate on machine learning models using novel techniques.
- Deploy machine learning models to production and write backend code when necessary to properly deploy the model.
- Debug models when observability shows performance gaps, and iterate on models.
About You
- You have a minimum of 8 years of experience working in an end-to-end machine learning team environment: analyzing data, building and iterating on machine learning models, writing production-level code and shipping to production, monitoring performance, and A/B testing.
- You write clean and robust code in Python or other programming langu...