Senior Machine Learning Engineer, Relevance

About the Role

• 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 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.

What you'll need

• Experience working in an end-to-end machine learning team environment (typically 5+ years): analyzing data, building and iterating on machine learning models, writing production-level code and shipping to production, monitoring performance, and A/B testing.
• Writes clean and robust code in Python or other programming languages, and provides substantive, constructive feedback in code reviews.
• Experience debugging complex systems with a systematic approach.
• Analyzes datasets thoroughly to develop product and customer insights.
• Writes clear technical documentation for both technical and non-technical audiences.
• Seeks and incorporates feedback on code, models, and technical approaches.
• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent

We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.