Member of Technical Staff - World Models

Highlights

• Build next-gen multimodal foundation world models for Physical AI.
• Design and scale generative models across visual and spatial modalities.
• Translate research into reliable capabilities for robotics and embodied AI.

Ideal candidate

Research-minded builder with foundation-model experience who thrives in small, fast teams and cares about pushing Physical AI from ambitious ideas to reliable real-world behavior.

Requirements

• PhD in Computer Science, Engineering or related field or equivalent experience
• Experience training ML foundation models end to end with distributed training
• Ability to independently design, execute and analyze ML experiments and ablations
• Experience developing evaluations that reveal model limitations