Taxonomy Machine Learning Engineer

Patreon

San Francisco, CA

Full Time

Senior

19 days ago

Job Description

About the Role

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 communities and build a lasting business including: paid memberships, free memberships, community chats, live experiences, and selling to fans directly with one-time purchases. Our goal is to fund the creative class, and we are leaders in that space with over $8 billion in revenue generated, 60 million+ free memberships, and 10 million+ paying fans monthly. As we scale, understanding creator content and fan consumption becomes increasingly important. We are looking for a Taxonomy Machine Learning Engineer to develop classification systems that power discovery, recommendations, and insights.

Key Responsibilities

Building and deploying machine learning pipelines that generate taxonomies of creators, content, and risk profiles across the platform.
Collaborating closely with data science and machine learning teams to design robust models, integrate work into production systems, and help the company understand emerging trends from creator and fan behavior.
Translating data into actionable insights and communicating technical work to data teams, cross-functional partners, executive leadership, and the broader company.
Being a cultural and technical leader on the data science team.

Requirements

5+ years of experience in ML engineering or applied ML roles.
Expertise in natural language processing, topic modeling, and clustering techniques.
Experience working with unstructured content (e.g., audio, video, text, images) and understanding how to extract meaning from complex media.
Strong Python skills and fluency in 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.
Ability to collaborate effectively across engineering, data science, and product teams.
Belief that great systems are technically sound and thoughtfully applied to solve real-world user needs.

Nice to Have

Experience developing content and creator classification systems.
Experience working in a hybrid work environment or in-office collaboration.

Qualifications

Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.

Benefits & Perks

Competitive benefits package including salary, equity plans, 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.
Hybrid work model with in-office requirement of two days per week for employees based in San Francisco or New York.

Working at 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 our mission and core values, which include putting creators first, building with craft, making it happen, and winning together. We value workplace diversity and inclusion, and encourage candidates from different backgrounds to apply regardless of experience gaps. Patreon is proud to be an equal opportunity employer and promotes a fair and transparent pay structure.

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