Senior Staff Machine Learning Engineer

Patreon-posted 2 months ago
Full-time • Senior
Hybrid • San Francisco, CA
251-500 employees
Broadcasting and Content Providers
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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 Senior Staff Machine Learning Engineer, Relevance to support our mission. This role is based in New York or San Francisco and open to those who are able to be in-office 2 days per week on a hybrid work model.

  • Design and build large-scale ranking, search, and recommendation systems that power discovery across the platform.
  • Architect and productionize end-to-end ML pipelines (data ingestion, feature generation, model training, evaluation, deployment, and monitoring).
  • Prototype model behavior including frontend to visualize results and collaborate effectively with product and design partners.
  • Develop embedding systems and retrieval models that serve millions of users in real time.
  • Establish and evolve ML observability and performance monitoring for relevance metrics.
  • Partner with cross-functional leaders to align on roadmap, goals, and impact.
  • Mentor and guide engineers, fostering a high bar for technical excellence and experimentation.
  • 8+ years of professional experience in applied machine learning, with a focus on search, ranking, or recommendation systems.
  • Proven experience designing and deploying production ML systems serving millions of users.
  • Strong programming skills in Python.
  • Proficiency in backend development and experience integrating ML systems into production environments.
  • Ability to prototype or visualize ML outputs in interactive UI contexts to help teams interpret model impact.
  • Expertise in building and maintaining data pipelines, feature stores, and model observability systems.
  • Deep understanding of embedding-based retrieval, ranking algorithms, and personalization architectures.
  • Strong collaboration skills - able to partner effectively with engineers, designers, and PMs.
  • Experience mentoring senior engineers and driving cross-team technical alignment.
  • Master's or PhD in Computer Science, Machine Learning, or related field, or equivalent experience.
  • Experience at a large-scale consumer platform with search or recommendation systems.
  • Prior experience building internal tools or interactive demos for model interpretability.
  • Strong interest in creative ecosystems or content discovery platforms.
  • Competitive salary
  • Equity plans
  • Healthcare
  • Flexible time off
  • Company holidays and recharge days
  • Commuter benefits
  • Lifestyle stipends
  • Learning and development stipends
  • Parental leave
  • 401k plan with matching
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