Senior Machine Learning Engineer, Safety

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. Clean and robust code in Python or other programming languages. Experience debugging complex systems with a systematic approach. Curious mindset and dive deeply into datasets to understand our product and customers. Solid communication skills and write clear documentation. Growth mindset and aspire to continuously improve your soft and technical skills. 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

Conduct exploratory data analyses and develop machine learning models to identify risks. 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 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.