Machine Learning Researcher, Diffusion (250K - 600K)

We are a well funded, artificial intelligence research neolab based in Toronto, Canada.

Role Overview

You will explore frontiers in continual learning, world modelling, and reinforcement learning on diffusion models. We love novel, provocative, untested ideas that challenge conventional paradigms. We encourage curiosity-driven research and welcome bold, untested concepts.

Key Responsibilities

• Advance decentralized diffusion models (DDM) and pioneer next-generation architectures including rectified flows, EDM variants, and latent consistency models.
• Develop novel sampling algorithms, guidance mechanisms, and conditioning strategies that unlock new capabilities in controllable generation.
• Push the frontier of video generation and synthesis, including temporal modeling and multi-modal architectures.
• Publish at top-tier ML venues and share insights through blog posts, open-source contributions, and community enga...