Research Scientist, World Models

Job description

Job responsibilities

• Conduct fundamental and applied research in generative and predictive world-modeling Video generation and prediction.
• Latent diffusion / autoregressive / flow-matching models.
• Multimodal foundation models for driving scenes.
• LLM / VLM / VLA methods for scene understanding, reasoning, and control.
• Generative scenario modeling and controllable simulation.
• Model distillation.
• Collaborate 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).

Job requirements

• D emonstrated 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.