Robotics Researcher

Bagel Labs is an AI research lab that trains frontier diffusion models across commodity hardware instead of one uniform GPU cluster. Our method, Distributed Diffusion Models or DDM, trains many smaller expert models independently with no gradient synchronization, and a lightweight router combines them at inference. Paris-1 proved the idea on images and Paris-2 proved it on video, where three 11B experts and a router beat a monolithic baseline trained on the same compute by more than 50% on FVD. We are now applying DDM to physical AI, where world models, action, and simulation are still wide open.

We ignore years of experience and pedigree. If you have research taste and a real idea about how generative models, action, or world state should work, we want to hear from you. Every requirement below is flexible for someone with the depth to back it up.

Role Overview

The role is deliberately broad and much of the science is sti...