Responsibilities
- Enable offline and real-time access to vast datasets for use by machine learning and data science teams.
- Oversee the development, scaling, and performance of a feature store used for feature engineering and large-scale model training and inference.
- Handle petabyte-level data workflows using technologies including Apache Spark, Spark Structured Streaming, Kafka, and Ray.
- Collaborate with internal teams and business partners to advance machine learning and AI projects.
Benefits
- competitive perks and benefits
- health & wellness
- equity
- benefits
Compensation
competitive perks and benefits, equity
Work Arrangement
Remote (Worldwide) — New York City, San Francisco, London, Sydney
