Job Overview
Location
San Francisco
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
March 28, 2026
Full Job Description
đź“‹ Description
- • As a Staff Machine Learning Engineer specializing in Taxonomy at Patreon, you will be the first dedicated expert in building classification systems that power discovery, recommendations, and platform insights for over 300,000 creators and 10 million+ paying fans. Your work will directly impact how creators are understood and how fans discover content, enabling improved recommendations, content quality signals, and search relevance across the platform—making this role foundational to Patreon’s mission of funding the creative class.
- • You will design, build, and deploy end-to-end machine learning pipelines that generate taxonomies of creators, content, and risk profiles using unstructured data such as text, audio, video, and images. This includes conducting exploratory data analysis, developing proof-of-concept models, preparing training data via crowdsourcing labeling techniques, training and iterating on models using advanced NLP and clustering methods, deploying models to production, writing backend code for integration, debugging performance gaps, and translating technical findings into actionable insights for product, engineering, legal, trust and safety, and executive stakeholders.
- • You will join the Relevance team, a data-driven group focused on uncovering insights that shape Patreon’s product strategy while promoting scientific rigor and data fluency across the organization. As the inaugural Taxonomy MLE, you will collaborate closely with product, engineering, design, GTM, Trust & Safety, and other machine learning engineers to ensure classification systems align with shared infrastructure, code standards, and roadmap goals, while contributing to a culture of curiosity and craftsmanship.
- • In this role, you will grow as a technical and cultural leader by shaping the taxonomy function from the ground up, mentoring peers through code reviews and knowledge sharing, influencing cross-functional initiatives, and gaining deep experience in applying ML to real-world creator media at scale—positioning you at the forefront of innovation in creator economy platforms.
🎯 Requirements
- • 8+ years of experience in machine learning engineering or applied ML roles
- • Expertise in natural language processing, topic modeling, and clustering techniques
- • Experience working with unstructured content (audio, video, text, images) and extracting meaning from complex media
- • Proficiency in Python and fluency with common ML/NLP libraries
- • Experience with distributed systems, production pipelines, and model deployment frameworks
- • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field
🏖️ Benefits
- • Competitive salary and equity plans
- • Comprehensive healthcare, flexible time off, company holidays, and recharge days
- • Commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching
Skills & Technologies
About Patreon, Inc.
Patreon operates a membership platform that lets creators offer subscription tiers to fans who provide recurring financial support. Founded in 2013 and headquartered in San Francisco, the company provides billing, analytics, community and content-distribution tools that enable musicians, podcasters, writers, artists and other creators to earn predictable income while deepening engagement with their most dedicated followers. Fans pledge monthly amounts in exchange for perks such as early access, bonus material, merchandise and community interaction, with Patreon collecting a percentage of each transaction plus payment-processing fees.
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