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snowflake python databricks tensorflow pytorch📋 Description
- Lead multiple ML initiatives across Lyft Business areas.
- Design, develop, and deploy advanced ML models and ranking systems.
- Own the end-to-end lifecycle of complex modeling solutions.
- Collaborate with Engineering to build scalable inference services and pipelines.
- Define model evaluation strategies and experimentation plans.
- Mentor junior scientists and contribute to ML best practices.
🎯 Requirements
- Master’s/PhD in ML, CS, optimization, statistics, engineering, or related.
- 5+ years of industry experience deploying ML models in production.
- Deep expertise in ML: supervised/unsupervised, optimization, probabilistic modeling, time-series.
- Python and ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn) and Spark/Databricks.
- Hands-on experience building production-grade ML systems: real-time inference services and monitoring.
- Strong communication and mentoring skills.
🎁 Benefits
- Great medical, dental, and vision insurance.
- Mental health benefits.
- Family building benefits.
- 401(k) plan with company match.
- 18 weeks of paid parental leave.
- Subsidized commuter benefits.
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