Define and lead the technical direction for Patreon’s recommendation and search systems.
Architect large-scale ML systems that determine what fans see, how they discover creators, and how creators grow their audiences.
Own projects from prototype to production, including the data, modeling, and backend components.
Build tools and simple frontend prototypes to visualize model results and demonstrate how relevance models surface in the product.
Mentor other ML engineers, influence multi-team technical strategy, and collaborate with cross-functional leaders across Product, Data Science, and Infrastructure.
Requirements
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.
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