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 chance 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 creative world modeling and effective mentorship.

📌 World Models Research Scientist At Waabi Toronto
🏢 Waabi
📍 Toronto