Research Scientist, Waabi

• Demonstrated technical innovation: You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field
• Strong prototyping and implementation: You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training
• Expert domain knowledge: You have built generative or predictive models of the physical world with scale and efficiency in mind for real-world applications
• Team player: You have worked in a close-knit team of researchers and engineers and have strong communication to deliver successful projects

Desirable

• Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation
• As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Simulation models that can reason about complex, dynamic 4D environments with minimal supervision
• Your work will directly power Waabi World’s ability to comprehend the 4D physical world, simulate traffic participants and generate realistic safety-critical scenarios at scale
• Conduct fundamental and applied research in generative and predictive world-modeling (e.g., latent diffusion, video generation models, 3D Gaussian splatting, NeRF) on multi-sensor multi-modal data of driving scenes
• Collaborate with simulation 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)
• Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation
• Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics