Internship

Highlights

• Own a scoped project in world models, robotics, or simulation with mentor support.
• Ship a lasting artifact like a dataset, benchmark, or tool the team keeps using.
• Work in the same repos and clusters as staff on Physical AI foundation models.

Ideal candidate

A hands-on builder with strong ML or systems intuition who has shipped an end-to-end project solo and wants outsized impact on Physical AI and world models from day one.

Requirements

• Bachelor's degree or equivalent experience in CS, Engineering or related field (or pursuing)
• Strong fundamentals in ML (optimization, generalization, architectures) or systems (OS, networking, parallel computing)
• Fluent Python programmer with end-to-end built and debugged non-trivial system
• Able to pick one of seven focus areas and concretely propose what to build or measure