Member of Technical Staff — Research, Physics
Causal Labs, San Francisco +1
What you will do
- Bring physical principles to bear on the model — assessing consistency with conservation laws and physical constraints, and where physics-informed inductive biases help or hinder
- Develop evaluations that test whether the model's behavior is physically coherent, not just statistically accurate
- Advise on the physics of the systems we model, from fluid dynamics to thermodynamics, and their numerical treatment
- Investigate where the LPM generalizes across physical domains and where it breaks down
- Partner with model, evaluation, and interpretability teams to connect physical understanding to research direction
What you need
We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
- Deep expertise in physics – fluid dynamics, thermodynamics, computational physics, or a closely related field (typically a PhD or equivalent research experience)