Causal Labs - Member of Technical Staff — Research, Physics

• 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) • Familiarity with numerical simulation of physical systems (e.g. CFD) and its trade-offs • Interest in where machine learning and physical modeling meet • Ability to collaborate closely with ML researchers and translate physical principles into technical requirements • A rigorous, evidence-driven approach to evaluating model quality