Machine Learning Engineer

• Conduct exploratory data analyses and proof-of-concept machine learning models to understand opportunities and potential project impact
• Collaborate with cross-functional partners (product, engineering, design, legal, 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
• Debug models when observability shows performance gaps, and iterate on models
• Monitor model performance and participate in A/B testing and iteration

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