Patreon
Senior Machine Learning Engineer, Relevance
New York · Senior
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About the role
- Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact.
- Analyze and prepare training data, including using crowdsourcing data labeling techniques.
- Train and iterate on machine learning models using novel techniques.
Responsibilities
- Analyzes datasets thoroughly to develop product and customer insights.
- You'll join the Relevance team, whose mission is to build the ML systems that power how fans discover creators and how content surfaces across Patreon.
- Build with Craft | We sign our name to every deliverable, just like the creators we serve.
- Make it Happen | We don't quit. We learn and deliver.
Requirements
- Experience debugging complex systems with a systematic approach.
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent
- We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide.
Skills
- Writes clean and robust code in Python or other programming languages, and provides substantive, constructive feedback in code reviews.
Compensation
- Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, pa
Benefits
- Collaborate with cross-functional partners, such as product, engineering, design, legal, and trust and safety to design effective machine learning solutions.
Company info
- The team is responsible for search, ranking, feed relevance, and creator-fan matching.
- You'll work closely with a small, collaborative group of MLEs on shared infrastructure, code reviews, and roadmap alignment, while partnering cross-functionally with Product, Data Engineering, and Trust & Safety to deliver measurable impact across the platform.
This listing is sourced directly from Patreon's careers page and normalized into a canonical job model.