AI Research Intern – Predictive World Model

We are seeking PhD research interns with strong expertise in generative modeling and a demonstrated record of original research. In this role, you will work alongside our research team to develop world models that learn the dynamics of the physical world from large-scale multimodal data — predicting how a scene evolves under an agent's actions, and serving as a learned simulator for training and evaluating driving and robotic policies. You will work with state-of-the-art generative architectures, including diffusion and flow-matching models, video tokenizers, and transformer-based multimodal backbones, with access to vast amounts of real-world multimodal data from our autonomous fleet and robotics platforms.