# Research Scientist – Large Tabular Models (LTMs) at Granica

- Company: Granica
- What the company does: Granica reduces the cost of enterprise AI across data storage, data processing, and agent compute. Everything runs inside your perimeter, and you keep the intelligence your data builds. Backed by NEA.
- Company website: https://www.granica.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Bay Area Office
- Work setup: On-site
- Pay: $160K to $240K base salary per year (USD)
- Posted: 2026-07-02
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/granica/53b843e5-0d00-4595-8283-f6590fadab61
- Page: https://www.1752.vc/careers/jobs/granica-research-scientist-large-tabular-models-ltms/

## About the role

Most of today's generative AI is built for text, images, and video. 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.

## What they're looking for

- PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field
- Strong research record in machine learning
- Experience developing new models or learning algorithms
- Hands-on experience with PyTorch or JAX
- Strong programming skills in Python
- Ability to turn research ideas into working systems

Tags: Research