With a world-class team, we’re unlocking the next era of autonomous transportation with technology that’s powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments. 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 World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.Conduct fundamental and applied research in generative and predictive world-modelingVideo generation and predictionLatent diffusion / autoregressive / flow-matching modelsMultimodal foundation models for driving scenesLLM / VLM / VLA methods for scene understanding, reasoning,



and controlGenerative scenario modeling and controllable simulationModel distillationCollaborate 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).foster a culture of scientific rigor and rapid experimentation.Demonstrated technical innovation: D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..Robust prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.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. #

📌 Research Scientist, World Models (Winnipeg)
🏢 Waabi
📍 Winnipeg