Patreon
Overview
Patreon is a media and community platform where creators build a business with fans through memberships, community chats, live video, and direct one-time purchases. Our goal is to fund the creative class and power discovery and platform insights for creators and fans alike.
About the Role You will be a Taxonomy Machine Learning Engineer responsible for building and deploying ML pipelines that generate taxonomies of creators, content, and risk profiles across the platform. These systems enable improved recommendations, content quality signals, and search relevance.
You will collaborate with data science and machine learning teams to design robust models, integrate your work into production systems, and help the broader company understand trends from creator and fan behavior. You will translate data into actionable insights and communicate your technical work to the data team, cross-functional partners, executive leadership, and the rest of the company. You will be a cultural and technical leader on the data science team.
Work on end-to-end ML pipelines for taxonomy creation across the platform (creators, content, risk profiles) to improve recommendations and search relevance.
Collaborate with data science and ML teams to design models and deploy them into production.
Translate data insights into communication for stakeholders and leadership.
Provide technical and cultural leadership within the data science group.
About You
5+ years of experience in ML engineering or applied ML roles
Expertise in natural language processing, topic modeling, and clustering
Experience with unstructured content (audio, video, text, images) and extracting meaning from media
Strong collaboration with engineering, data science, and product teams
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or related field
Strong Python skills and fluency with common ML/NLP libraries
Experience with distributed systems, production pipelines, and model deployment frameworks
About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. We hire talented and passionate people from diverse backgrounds and value workplace diversity and inclusion. If you’re excited about a role but your past experience doesn’t match every bullet point, we encourage you to apply anyway.
Put Creators First
Build with Craft
Make it Happen
Win Together
Patreon is an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon.
Patreon offers a competitive benefits package including salary, equity plans, healthcare, flexible time off, holidays, commuter benefits, stipends for learning and development, parental leave, and 401k with matching. We operate under a hybrid work model with in-office requirements for some locations and roles. Remote employees are not required to meet the same in-office requirements.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
Referrals increase your chances of interviewing at Patreon. Get notified about new Senior Machine Learning Engineer jobs in San Francisco, CA.
#J-18808-Ljbffr
About the Role You will be a Taxonomy Machine Learning Engineer responsible for building and deploying ML pipelines that generate taxonomies of creators, content, and risk profiles across the platform. These systems enable improved recommendations, content quality signals, and search relevance.
You will collaborate with data science and machine learning teams to design robust models, integrate your work into production systems, and help the broader company understand trends from creator and fan behavior. You will translate data into actionable insights and communicate your technical work to the data team, cross-functional partners, executive leadership, and the rest of the company. You will be a cultural and technical leader on the data science team.
Work on end-to-end ML pipelines for taxonomy creation across the platform (creators, content, risk profiles) to improve recommendations and search relevance.
Collaborate with data science and ML teams to design models and deploy them into production.
Translate data insights into communication for stakeholders and leadership.
Provide technical and cultural leadership within the data science group.
About You
5+ years of experience in ML engineering or applied ML roles
Expertise in natural language processing, topic modeling, and clustering
Experience with unstructured content (audio, video, text, images) and extracting meaning from media
Strong collaboration with engineering, data science, and product teams
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or related field
Strong Python skills and fluency with common ML/NLP libraries
Experience with distributed systems, production pipelines, and model deployment frameworks
About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. We hire talented and passionate people from diverse backgrounds and value workplace diversity and inclusion. If you’re excited about a role but your past experience doesn’t match every bullet point, we encourage you to apply anyway.
Put Creators First
Build with Craft
Make it Happen
Win Together
Patreon is an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accomodations@patreon.
Patreon offers a competitive benefits package including salary, equity plans, healthcare, flexible time off, holidays, commuter benefits, stipends for learning and development, parental leave, and 401k with matching. We operate under a hybrid work model with in-office requirements for some locations and roles. Remote employees are not required to meet the same in-office requirements.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
Referrals increase your chances of interviewing at Patreon. Get notified about new Senior Machine Learning Engineer jobs in San Francisco, CA.
#J-18808-Ljbffr