Research Scientist – Large Tabular Models (LTMs)

About Granica

Granica is building the efficiency and intelligence layer for enterprise AI.

• Crunch makes massive enterprise data cheaper and easier to operate.

• Large Tabular Models learn from structured data to support shared intelligence across many capabilities.

• Myelin makes long-running AI agents more efficient and durable.

Granica has processed hundreds of petabytes of tabular data in production, and our research is led by Stanford Professor Andrea Montanari.

Location: Mountain View, CA (On-site)

Overview

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 stac