Machine Learning Engineer, Growth

Patreon is a media and community platform where creators give their biggest fans access to exclusive work and experiences. Over 300k creators are cultivating fandoms and building their businesses each month. Creators can offer free memberships to fans looking to explore more of their work, paid memberships to give access to exclusive media and community, or sell directly to fans with Shops.

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

• 8B+ earned since Patreon's inception

• 30M free new memberships in the first year of launching that option, and

• 10M fans paying each month for exclusive access to creators' work and community.

We're continuing to invest heavily in building the best creator products 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 and open to those who are able to be 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 2+ 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 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.

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 across the organization. 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.

Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, unlimited paid time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.