Build frontier AI agents for data science across the full product lifecycle, from identifying product opportunities through implementation and deployment. Projects include AI-searchable indices for data warehouses, notebook interfaces based on Jupyter, and scalable backend infrastructure for on-premise agentic deployments.

Conduct research in representation learning and agentic learning for AI agents that work with diverse data modalities. Develop innovative methods for data representation, sampling, semantic ontologies, and agent optimization. Collaborate closely with engineers to rapidly deploy research into production and improve data science workflows, including data discovery, exploratory analysis, modeling, and data-driven storytelling.