Description
Physical Superintelligence is hiring an AI/ML Engineer to apply machine learning and simulation to real-world physics and engineering problems. The role builds production ML models, simulations, digital twins, agentic optimization loops, data pipelines, and customer-facing demos; it also owns engagements from scoping through implementation, communication, and harvest. Candidates need at least five years of production ML systems experience grounded in applied physics, computational science, or engineering, along with strong quantitative physics literacy and experience shipping systems that handle real-world distribution shift. The role is based in Boston, with remote candidates considered on a case-by-case basis.
