Research Scientist, World Models
Toronto, OH - USA
Job Summary
This role focuses on large-scale world models for temporal reasoning and generation including video models multimodal generative models LLM/VLM/VLA models and predictive models of traffic participants and scenes. Your work will directly power Waabi Worlds ability to model future evolution synthesize realistic safety-critical scenarios and provide rich generative priors for downstream planning testing and training.
You will
- Conduct fundamental and applied research in generative and predictive world-modeling
Video generation and prediction.
Latent diffusion / autoregressive / flow-matching models.
Multimodal foundation models for driving scenes.
LLM / VLM / VLA methods for scene understanding reasoning and control.
Generative scenario modeling and controllable simulation.
Model distillation.
- Collaborate with engineers to integrate models into large-scale distributed training and rendering pipelines.
- Publish high-impact research at top conferences (CVPR ECCV ICCV NeurIPS ICLR ICRA SIGGRAPH).
- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.
- Stay on top of emerging advances in generative AI differentiable rendering knowledge distillation/compression and robotics.
Qualifications:
- Demonstrated technical innovation: You have a Ph.D. in Computer Vision Machine Learning Robotics or a related field or equivalent research experience pushing the boundaries of a technical field..
- Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.
- Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications
- Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects.
Bonus:
- Proven ability to translate research into production-quality code and measurable product impact.
- Demonstrated publications (first-author) in top-tier venues on topics such as world models generative simulation video prediction diffusion flow-matching or foundation models for autonomy.
Required Experience:
IC