Develop world models at Waabi using generative AI and predictive modeling for autonomous transportation. Work with complex, agile 4D environments.

As a Research Scientist in World Models, you will conduct fundamental and applied research for Waabi World. Your work spans video models, multimodal generative models, LLM, VLM, and VLA methods. You will help model future evolution, synthesize safety-critical scenarios, and provide generative priors for planning, testing, and training.

Key Responsibilities:

- Research generative and predictive world-modeling methods
- Develop video generation and prediction models
- Build multimodal foundation models for driving scenes
- Integrate models into distributed training and rendering pipelines




- Publish research and mentor junior scientists and interns

Requirements:

- Ph.D. or equivalent research experience in a related field
- Expert Python and PyTorch or JAX skills
- Strong software-engineering fundamentals and distributed-training experience
- Experience building scalable generative or predictive physical-world models
- Strong communication within research and engineering teams

Apply generative modeling, video prediction, and multimodal reasoning to advance Waabi World’s autonomous-driving simulation capabilities.

📌 World Models Research Scientist (Toronto)
🏢 Roboticsconnected
📍 Toronto