PSI

Build and train AI agents and training systems to learn physics.
Design evaluation workflows and benchmarks for physics reasoning.
Publish results; develop curricula, rewards, and architectures for discovery tasks.
Collaborate with physicists and engineers; ship end-to-end systems.

🎯 Requirements

PhD in ML, CS, physics, math with top-venue publications.
Hands-on RL experience building agents and training models.
Proficiency with ML frameworks and distributed training; scale-ready.
Physics or math background for physical reasoning and tool use.
Hands-on RL algorithms such as PPO, SAC, MuZero.
PyTorch or JAX; distributed training via Ray, XLA, Accelerate.
Experience applying agents to simulators or scientific tools.
Open-source contributions or shipped artifacts.

🎁 Benefits

Competitive salary and benefits.
Meaningful early-stage equity.
Equal opportunity employer; diverse perspectives valued.

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