Related skills
sql python tensorflow pytorch airflowπ Description
- Own end-to-end ML problems from prototype to production.
- Build ML systems for personalization and coverage surfacing.
- Collaborate with product, engineering, operations, legal, and privacy.
- Ship ML models and data pipelines at scale (batch and real-time).
- Prototype quickly; turn ideas into working models.
- Present findings to team and executives; explain complex results.
π― Requirements
- 5+ years in ML, data science; Masters or PhD with 2+ yrs in field.
- Hands-on experience building personalization and recommendation systems at scale; feature engineering and full ML lifecycle.
- Strong Python and SQL; experience with TensorFlow or PyTorch, Airflow, and data warehouse.
- Deep ML algorithms, experiment design; A/B testing; causal inference a plus.
- Exceptional communicator; explain ML to engineers, PMs, and executives.
- Self-directed and product-minded; publications a plus.
π Benefits
- Remote eligible in the US; occasional office/on-site as agreed.
- Bonus, equity, benefits, and Employee Travel Credits.
- Inclusive culture; reasonable accommodations available.
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