Research Scientist, World Models

Highlights

• Develop next-generation world models that reason about dynamic 4D environments.
• Power realistic, scalable simulation for commercial autonomous trucks and robotaxis.
• Synthesize safety-critical scenarios to advance testing and training for autonomy.

Ideal candidate

A creative, collaborative researcher driven to push generative AI frontiers and translate breakthroughs into real-world autonomy, thriving on rigorous experimentation and team impact.

Requirements

• Ph.D. in Computer Vision, Machine Learning, Robotics, or related field or equivalent research experience
• Expert-level Python and PyTorch (or JAX) with strong software engineering fundamentals and distributed training experience
• Experience building generative or predictive models of the physical world with scale and efficiency for real-world applications
• Experience working in close-knit researcher-engineer teams with strong communication to deliver projects
• First-author publications in top-tier venues on world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy