• Build a next-generation ML data and feature platform to significantly improve productivity of ML practitioners • Collaborate closely with ML practitioners and domain experts to ensure high-quality features and labels • Design and build a near-real-time feature computation engine for generating ML features • Operate and manage feature computation pipelines and serving infrastructure for various ML models • Build and scale systems that accelerate training through performant data loading, transformation, and writing • Develop feature stores that enable feature discovery and sharing