Research Scientist, World Models

Waabi

Toronto, Canada
On-site
Generative and predictive world-modeling
Video generation and prediction
Multimodal foundation models
As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments

Job Summary

  • As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
  • Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
  • Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

Matching Summary

As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.

Skills & Requirements

Must-have

  • generative and predictive world-modeling
  • video generation and prediction
  • multimodal foundation models
  • LLM / VLM / VLA methods
  • generative scenario modeling

Nice-to-have

  • scientific rigor and rapid experimentation
  • emerging advances in AI
  • differentiable rendering
  • knowledge distillation/compression

Key Requirements

  • Ph.D. in Computer Vision, Machine Learning, Robotics, or related field
  • Expert-level Python & PyTorch (or JAX) skills
  • Strong software-engineering fundamentals
  • Experience with distributed training
  • Built generative or predictive models of the physical world

Work Rights

Not specified

Tailored Resume

Cover Letter