Research Scientist – Diffusion Models

Role Overview

We're applying diffusion models to Large Tabular Models (LTMs) for enterprise data. Our research explores how diffusion models can enable the next generation of AI for enterprise data.
What You Will Do

Develop novel diffusion models and generative learning algorithms, research new representation learning techniques, design efficient training methods, and prototype and evaluate new generative modeling approaches.
Why It Might Be a Fit

PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field, strong research record in generative machine learning, and experience developing new generative models or learning algorithms.
Requirements

- PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field

- 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

Benefits

- Competitive salary

- Meaningful equity

- Performance bonus for top performers

- 401(k) with company match

- Comprehensive health coverage

- Unlimited PTO

- Daily catered meals

- Support for research, publication, and conference participation

Originally posted on Himalayas