---
title: Research Scientist Diffusion Models at Granica
description: Granica is hiring for the Research Scientist Diffusion Models role in San Francisco,
  CA. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/research-scientist-diffusion-models-at-granica-01a14154-8bbc-7008-9a01-9931c4c73306
date: 2026-11-15T01:26:44Z
og_description: Join Granica as Research Scientist Diffusion Models in San Francisco, CA. Pays
  $160K–$240K per year. Full-time, on-site role.
og_image: https://www.foundrole.com/og/a4n33c.png
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  - label: Home
    url: https://www.foundrole.com/
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---

| | |
|---|---|
| **Company** | Granica |
| **Location** | San Francisco, CA |
| **Salary** | $160K/yr - $240K/yr |
| **Type** | Full Time |
| **Posted** | Oct 16, 2026 |

## Is this job real?

**Ghost job check:** A · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Granica sponsors H-1B visas. It filed 12 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Granica.

## Pay for similar jobs

Most similar jobs pay $243,000 – $292,000 a year (median $258,000).

## Description

## **Research Scientist – Diffusion Models**

## **Location:** Mountain View, CA — Downtown HQ

**Employment Type:** Full-time

**Work Model:** On-site, 5 days/week

**Department:** Research

 

## About Granica

Granica helps enterprises **run AI for less, from the data layer to agent execution**.

Granica is building across three related layers:

- **Crunch** reduces storage and processing costs across enterprise data infrastructure.

- **Large Tabular Models** unlock predictions and generated data from governed enterprise tables.

- **Myelin** reduces token and compute overhead for long-running AI agents.

 

Everything runs inside the customer’s perimeter, so enterprises retain control of their data and the intelligence it creates.

 

Granica has already processed **hundreds of petabytes of enterprise data in production** for customers including **Snap, Pinterest, Lyft, and ShareChat**.

 

Our research organization is led by **Stanford Professor Andrea Montanari**.

 

We operate at the intersection of **data infrastructure, AI systems, and applied research**, building the efficiency and intelligence layer for enterprise AI.

## Role Overview

**Diffusion models** have transformed image, video, and multimodal AI.

We're applying those ideas to one of the next frontiers in machine learning.

At Granica, we're building **Large Tabular Models (LTMs)**—foundation models designed to learn natively from enterprise data. Realizing that vision requires new generative modeling techniques capable of learning from structured information at scale.

Our research team is led by **Prof. Andrea Montanari (Stanford)** and explores a fundamental question:

**How can diffusion models enable the next generation of AI for enterprise data?**

If you're excited about inventing new generative learning algorithms and applying them to entirely new domains, we'd love to talk.

## What You'll Work On

- Develop novel diffusion models and generative learning algorithms.

- Research new representation learning techniques for Large Tabular Models.

- Design efficient training methods for large-scale generative models.

- Prototype and evaluate new generative modeling approaches.

- Design rigorous experiments and benchmarks to measure model quality and efficiency.

- Collaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems.

## What We're Looking For

- PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field preferred; equivalent research and/or industry experience and demonstrated contributions to advancing state-of-the-art AI models will also be considered.

- Strong research record in generative machine learning.

- Experience developing new generative models or learning algorithms.

- Hands-on experience with PyTorch or JAX.

- Strong programming skills in Python.

- Ability to turn research ideas into working systems.

- Experience with **diffusion models, score-based generative modeling, representation learning, probabilistic modeling, or scalable ML systems** is particularly relevant.

## Bonus

- Research applying diffusion models beyond traditional vision tasks.

- Publications at NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or related venues.

- Open-source or production ML systems experience.

# **Compensation & Benefits**

- Competitive salary, meaningful equity, and performance bonus for top performers

- 401(k) with company match, comprehensive health coverage, and unlimited PTO

- Daily catered meals in our Mountain View office

- Support for research, publication, and conference participation

**At Granica, you'll help build the next generation of enterprise AI**—from **exabyte-scale data infrastructure**, **Large Tabular Models (LTMs)**, and **stateful AI agents**. Together, we're creating the infrastructure that enables enterprises to **own their data**, **own the intelligence built on it**, and **scale both efficiently**.

 
## Skills

- Open-Source Software
- Representation Learning
- Python
- Artificial Intelligence
- Algorithms
- Statistics
- Mathematics
- JAX
- Computer Science
- Machine Learning
- Generative AI Foundations
- Probabilistic Modeling
- Diffusion Models
## Benefits

- Health Insurance
- Paid Time Off (Pto)
- 401(k) Plans
- Food and Meals

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