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python tensorflow pytorch scikit-learn vector searchπ Description
- Core contributor to ranking and relevance systems.
- Design, build, and ship ML models for patient-therapist matching.
- Use search, recommendation, and personalization to improve matching.
- Autonomy on scoped problems; collaborate with product, engineering, data science.
π― Requirements
- 5+ years in applied ML; 3+ years in ranking/relevance.
- Fluent in Python; TensorFlow/PyTorch/Scikit-learn/CatBoost.
- Experience taking ML models from prototype to production.
- Experience designing and running A/B tests and metrics.
- Product intuition; focus on improving patient experience.
- Strong cross-functional collaboration; communicate tradeoffs clearly.
π Benefits
- Equity compensation
- Health, dental, and vision coverage
- HSA / FSA
- 401K
- Work-from-Home stipend
- Therapy reimbursement; training & development
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