Develop world models at Waabi using generative AI and predictive modeling for autonomous transportation. Work with complex, energetic 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 methodsDevelop video generation and prediction modelsBuild multimodal foundation models for driving scenesIntegrate models into distributed training and rendering pipelinesPublish research and mentor junior scientists and internsRequirements:

Ph.D. or equivalent research experience in a related fieldExpert Python and PyTorch or JAX skillsStrong software-engineering fundamentals and distributed-training experienceExperience building scalable generative or predictive physical-world modelsStrong communication within research and engineering teamsApply generative modeling, video prediction, and multimodal reasoning to advance Waabi World’s autonomous-driving simulation capabilities.

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