Senior Machine Learning Engineer (Relevance)
Patreon
full-remoteseniorpermanentdatabackend Full remote 129 days ago via WTTJ
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Machine LearningPythonData AnalysisA/B TestingModel DeploymentSearch RankingContent RelevanceExploratory Data AnalysisMLOpsDebugging
About the role
Role Overview
Join Patreon as a Senior Machine Learning Engineer on the Relevance team. You will build machine learning systems that improve content discovery and creator–fan matching, working with cross-functional partners to ship production-ready models.
Responsibilities
- Collaborate with cross-functional teams to design and implement ML solutions for search, ranking, and content relevance.
- Perform exploratory data analysis and develop proof-of-concept models to identify opportunities and assess impact.
- Train, iterate, and deploy ML models to production.
- Debug and address performance gaps in deployed systems.
- Prepare training data, monitor model performance, and improve through iteration.
- Write clear technical documentation for technical and non-technical audiences.
- Provide feedback via code reviews, and incorporate feedback on models and technical approaches.
Requirements
- Strong dataset analysis skills to derive product/customer insights.
- Ability to write clean, robust production code (notably Python or other programming languages).
- Experience in an end-to-end ML environment (typically 5+ years):
- data analysis
- building and iterating on ML models
- shipping to production
- monitoring performance
- running A/B testing
- Systematic approach to debugging complex systems.
- Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
Nice-to-Haves
- Experience and comfort working across technical and non-technical stakeholders (implied by documentation and collaboration expectations).
About Patreon
Patreon is a creator platform where fans support creators through memberships and other engagement tools. The company uses technology to improve content discovery and matching between creators and fans, leveraging machine learning to power relevance and ranking systems.
Scraped 5/20/2026