Senior Machine Learning Engineer, Trust & Safety
Description For Senior Machine Learning Engineer, Trust & Safety
Patreon, the leading platform for creators to build lasting creative businesses, is seeking a Senior Machine Learning Engineer for their Trust & Safety team. This role offers the opportunity to work on cutting-edge ML solutions to detect fraud, mitigate fake accounts, and ensure platform safety. The ideal candidate will have experience in end-to-end ML solutions, strong coding skills in Python, and a passion for creator safety.
As a Senior Machine Learning Engineer, you'll conduct data analyses, develop ML models, and collaborate with cross-functional teams to design effective solutions. You'll work with state-of-the-art image models and Large Language Models, deploy to production, and continuously iterate based on performance metrics.
Patreon offers a competitive benefits package, including equity, healthcare, unlimited PTO, and a 401k with matching. The company culture emphasizes putting creators first, building with craft, making things happen, and winning together. This remote-friendly position also offers the option to work hybrid from San Francisco or New York offices.
Join Patreon in its mission to fund the creative class and make a significant impact in the creator economy. If you're passionate about machine learning, trust and safety, and empowering creators, this role offers an exciting opportunity to shape the future of creative entrepreneurship.
Responsibilities For Senior Machine Learning Engineer, Trust & Safety
- Work on cutting edge Trust & Safety Machine Learning solutions for detecting fraud, mitigating fake accounts and account takeovers, detecting image and text policy violations, reducing data scraping, and others
- Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact
- Collaborate with cross-functional partners, such as product, engineering, design, legal, and trust and safety to design effective machine learning solutions
- Analyze and prepare training data, including using crowdsourcing and Large Language Model data labeling techniques
- Train and iterate on machine learning models using novel techniques, including state-of-the-art image models, and Large Language Models for text classification
- 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
Requirements For Senior Machine Learning Engineer, Trust & Safety
- Experience creating end-to-end ML solutions for the Trust & Safety space: analyzing data, building and iterating on machine learning models, writing production-level code and shipping to production, monitoring performance, and A/B testing
- Clean and robust code writing in Python or other programming languages and keen eye for detail in code reviews
- Experience debugging complex systems with a systematic approach
- Curious mindset and ability to dive deeply into datasets to understand product and customers
- Solid communication skills and ability to write clear documentation
- Growth mindset and aspiration to continuously improve soft and technical skills
- Passion for building the first version of systems and keeping creators and users safe with new machine learning solutions
Benefits For Senior Machine Learning Engineer, Trust & Safety
- Competitive salary
- Equity plans
- Healthcare
- Unlimited paid time off
- Company holidays and recharge days
- Commuter benefits
- Lifestyle stipends
- Learning and development stipends
- Patronage
- Parental leave
- 401k plan with matching
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