Research Scientist - World Modeling

As a Research Scientist with the World Model Team, you'll help drive the development of PAN (Physical, Agentic, and Networked) world models — next-generation foundation models designed to push machine intelligence beyond language and into the realm of embodied, contextual reasoning.

Requirements

• Develop the foundational world model to accurately simulate the physical world.
• Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters.
• Develop metrics and evaluation benchmarks to better assess model performance.
• Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation.
• Optimize inference efficiency to enable real-time interaction.