Research Scientist – Large Tabular Models (LTMs)
Granica, Bay Area Office
The role
LOCATION: MOUNTAIN VIEW, CA — DOWNTOWN HQ
Employment Type: Full-time
Work Model: On-site, 5 days/week
Department: Research
Most of today's generative AI is built for text, images, and video.
Enterprise data isn't.
The world's most valuable data lives in tables: customer records, transactions, financial systems, telemetry, operational data, and business workflows. Today's generative AI stack wasn't designed to learn efficiently from this kind of information.
At Granica, we're building Large Tabular Models (LTMs)—foundation models that learn natively from structured and relational enterprise data.
Our research is led by Prof. Andrea Montanari (Stanford) and focuses on one central question:
How can we build generative AI that learns efficiently from tabular data?