Thermo ML Resident

Extropic is seeking a Thermo ML Resident to work at the intersection of thermodynamics and machine learning for novel computing hardware. This role involves researching and developing physics-based ML algorithms that leverage thermodynamic noise and fluctuations for scalable computation. You will collaborate closely with physicists and machine learning engineers in San Francisco to model and optimize non-equilibrium thermodynamic systems.