Related skills
data analysis production python machine learning data labelingπ Description
- Conduct exploratory data analyses and PoC ML models to assess impact.
- Collaborate with product, engineering, design, legal, and safety to design ML solutions.
- Analyze and prepare training data, including crowdsourcing data labeling.
- Train and iterate on ML models using novel techniques.
- Deploy ML models to production and write backend code as needed.
- Debug models when observability shows performance gaps and iterate.
π― Requirements
- 5+ years in end-to-end ML teams; shipping to production and A/B testing.
- Proficient in Python; write clean, robust code; strong code reviews.
- Experience debugging complex systems systematically.
- Analyzes datasets to derive product and customer insights.
- Writes clear technical documentation for technical and non-technical audiences.
- Bachelor's degree in CS/CE or equivalent.
π Benefits
- Equity plans
- Healthcare
- Flexible time off
- 401k with matching
- Commuter benefits
- Hybrid work model (2 days in office)
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