Physical Superintelligence is a startup building artificial intelligence systems designed to discover new physics at scale. The company serves customers by solving actual physical and engineering problems, creating models and agents that design systems rather than only evaluating them. Its stated work in artificial intelligence and machine learning involves building simulations, surrogates, coupled multiphysics models, and training AI agents that learn to perform physics reasoning.
About psi
Physical Superintelligence is a startup building artificial intelligence systems designed to discover new physics at scale. The company serves customers by solving actual physical and engineering problems, creating models and agents that design systems rather than only evaluating them. Its stated work in artificial intelligence and machine learning involves building simulations, surrogates, coupled multiphysics models, and training AI agents that learn to perform physics reasoning.
The open roles indicate that the company is building technical teams focused on AI research and applied AI. The available positions are for members of technical staff at senior levels, specifically seeking candidates with advanced degrees such as PhDs in machine learning, computer science, physics, mathematics, or related quantitative fields, alongside a track record of publications at top venues. The listed positions are located in Boston with remote options available.
Open AI jobs at psi
Apply for the AI Research Member of Technical Staff role at psi in Boston. Build AI agents and training systems to discover physics at scale.
Apply for the AI Research Member of Technical Staff role at psi in Boston. Build AI agents and training systems to discover physics at scale.
Apply for Member of Technical Staff, Applied AI at psi in Boston. Build AI systems to discover new physics at scale. Check requirements and apply.
Apply for Member of Technical Staff, Applied AI at psi in Boston. Build AI systems to discover new physics at scale. Check requirements and apply.