Patreon is looking to fund the creative class by building the best creator platform with the best team in the creator economy, and requires a Machine Learning Engineer to support this mission.
Requirements
experience working in an end-to-end machine learning team environment: analyzing data, building and iterating on machine learning models, writing production-level code and shipping to production, monitoring performance, and A/B testing.
write clean and robust code in Python or other programming languages and have a keen eye for detail in code reviews.
experience debugging complex systems with a systematic approach.
Responsibilities
Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact.
Analyze and prepare training data, including using crowdsourcing data labeling techniques.
Train and iterate on machine learning models using novel techniques.
Deploy machine learning models to production and write backend code when necessary to properly deploy the model.
Debug models when observability shows performance gaps, and iterate on models.
Other
Collaborate with cross-functional partners, such as product, engineering, design, legal, and trust and safety to design effective machine learning solutions.
You have a curious mindset and dive deeply into datasets to understand our product and customers.
You have solid communication skills and write clear documentation.
You have a growth mindset and aspire to continuously improve your soft and technical skills.
You are energized about building the first version of systems and are passionate about empowering creators with new machine learning solutions.
Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or the equivalent
This role is based in San Francisco or New York and open to those who are able to be in-office 2 days per week on a hybrid work model.
