Join Waabi as a Research Scientist focusing on World Models where you’ll lead the development of cutting-edge algorithms in environmental reasoning and simulation. Embrace the opportunity to impact autonomous transportation from any of our locations including Toronto and San Francisco. As a key contributor, you will engage in both fundamental and applied research specializing in generative and predictive modeling.

Your expertise in video generation, multimodal models, and large-scale training will shape the future of Waabi's autonomous driving technology. You will collaborate closely with engineers and mentor upcoming talent while ensuring high-impact research culminates in top-tier academic publications. Key Responsibilities:

- Conduct research in generative and predictive world modeling




- Develop video generation and prediction techniques
- Implement multimodal foundation models for driving simulations
- Collaborate on large-scale model training pipelines
- Publish findings in leading conferences such as NeurIPS and CVPR Requirements:
- Ph.D. in Computer Vision, Machine Learning, or Robotics
- Proficiency in Python & PyTorch or JAX
- Experience in generative model building for real-world applications
- Solid collaboration and communication skills
- Ability to mentor junior scientists and interns Elevate Waabi's research capabilities in autonomous systems through innovative world modeling and effective mentorship.

📌 World Models Research Scientist at Waabi (Toronto)
🏢 Waabi
📍 Toronto