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 is a remote role.

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.

About the Role

• Conduct exploratory data analyses and develop machine learning models to identify risks.

• 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 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 languages and have a keen eye for detail in code reviews.

• You have experience debugging complex systems with a systematic approach.

• You have a curious mindset and dive deeply into datasets to understand our product and customers.

• You have solid communication skills and write clear documentation.

• You have a growth mindset and aspire to continuously improve your soft and technical skills.

• You are energized about building the first version of systems and are passionate about empowering creators with new machine learning solutions.

• Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or the equivalent

About Patreon

Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts:

• Put Creators First | They’re the reason we’re here. When creators win, we win.

• 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.

• Win Together | We grow as individuals. We win as a team.

We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.

Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.

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