Senior Machine Learning Engineer

San Francisco, CA
USD 166k - 231k
Machine Learning Python
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Patreon is the best place for creators to build memberships by providing exclusive access to their work and a deeper connection with their communities. We’re building a content and community platform where creators can engage directly with their fans and monetize their creativity, while maintaining full ownership over the work they make and the communities they create.

We’re leaders in the membership space with 250,000+ active creators and over $3.5 billion paid directly to creators on our platform. Our team is building tools to optimize the creator-to-fan relationship, including native video, enhanced podcasting features, improved creation tools, and new community experiences. We’re continuing to invest heavily in building the most talented team in the Creator Economy and are looking for a Machine Learning Engineer to support our mission.

This role is based in San Francisco 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 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.

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.

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location and other job-related factors.

San Francisco Pay Range
$166,000$231,500 USD
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