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Boston, Massachusetts, United States; United States
Source: Physical Superintelligence careers · View original posting
From Physical Superintelligence's posting. “We” and “our” refer to the employer.
Overview
Physical Superintelligence is a startup with roots at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute building AI systems to discover new physics at scale. We are seeking AI researchers to build the agents and training systems that learn to do physics.
Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit.
The last century's golden age of physics gave us transistors, lasers, and nuclear energy. We believe artificial superintelligence will unlock the next one. We're creating the infrastructure to industrialize scientific discovery and usher in this new era.
We have one product: new physics, at scale.
Role and Responsibilities
Build and train AI agents and training systems that learn to do physics. Focus on the core research questions: how agents acquire physical reasoning, how to design action spaces for scientific tool use, how to structure rewards that survive long-horizon discovery tasks, and how training infrastructure scales without breaking the science.
Design evaluation workflows and benchmarks for physics reasoning. Distinguish genuine reasoning from pattern matching and benchmark gaming. Build the instrumentation that makes agent behavior interpretable, not opaque.
Publish results that advance the field of AI for science. Develop training curricula, reward structures, and architectures for discovery tasks; iterate on what works in practice; share what works at top ML venues where it serves the mission.
Collaborate with physicists who design verification harnesses and with engineers who build training infrastructure. Ship working systems end-to-end, not isolated research artifacts.
This role is based in Boston. We will consider remote candidates on a case-by-case basis. We offer competitive compensation including salary, benefits, and meaningful early-stage equity. We evaluate on technical breadth, systems thinking, scientific curiosity, and shipping velocity. We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.
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Physical Superintelligence · Boston, Massachusetts, United States
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