--- title: 'PSI Fellow at Physical Superintelligence' canonical: 'https://feeny.ai/job/psi-fellow-physical-superintelligence-boston-de2pte36t3xv' type: 'job' last_seen: '2026-09-09' --- # PSI Fellow at Physical Superintelligence - **Company:** Physical Superintelligence - **Location:** Boston, MA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-01-26 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/psi/c13055ff-c8ad-4c4c-acb2-8902ba1b4f52/application **Skills:** Python, AI, Machine Learning, Programming, Deep learning frameworks, LLM fine-tuning, RLHF, Agentic AI systems, Multi-step reasoning, Open-source contributions > The PSI Fellow will work for 3 to 6 months on high-impact research at the intersection of physics and AI. Responsibilities include collaborating with technical leadership, developing AI-for-physics benchmarks, and producing substantive technical contributions or publishable research. ## Job description ## 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. The PSI Fellowship is designed for exceptional physicists who want to work at the frontier of AI-accelerated scientific discovery for 3 to 6 months full-time, with the goal of producing substantive technical contributions and, where appropriate, publishable research. 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 Collaborate directly with PSI's founding team and technical leadership on high-impact research at the intersection of physics and AI. Work on projects aligned with your expertise, such as AI-for-physics benchmarks, physics discovery agents, verification and interpretability, post-training for scientific reasoning, or human-AI scientific collaboration. Produce substantive contributions to PSI's technical roadmap and, where appropriate, publishable research that advances AI for science. Use PSI's compute and tooling to ship working systems, not isolated research artifacts. Exceptional performers may have the option to convert to a full-time role, though not guaranteed. ## What We're Looking For Physics PhD or advanced PhD candidate (all but dissertation), with deep domain expertise in at least one physics field. Demonstrated hands-on experience with modern AI and ML, not just curiosity. You have built things, shipped models, or contributed to working systems. Strong programming skills in Python; experience with deep learning frameworks preferred. You can write production-quality code, not just notebooks. Available full-time for 3 to 6 months and excited by the possibility that AI could fundamentally transform how physics is done. ## Nice to Have Experience with LLM fine-tuning, RLHF, or other post-training methods. Background in agentic AI systems or multi-step reasoning. Published ML research or significant open-source contributions. Track record of crossing disciplinary boundaries between physics, ML, and software engineering. ## How We Work We hold a high technical bar and give people full ownership of their work, from spec to ship to on-call. We write contracts before logic, test against real systems instead of mocks, and favor simple designs that ship over clever ones that do not. Our development process is AI-native: we work with agentic coding tools daily, write specs that are legible to humans and agents alike, and lead with leverage. Location and Compensation This role is based in Boston. We will consider remote candidates on a case-by-case basis. We offer competitive fellowship compensation and access to PSI compute and tooling. You must have US work authorization for the duration of the fellowship; we do not sponsor visas for fellowship positions. This role may involve access to information subject to U.S. export control regulations. We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery. ## About Physical Superintelligence ## Company Overview - **One-liner**: Building the world’s first vertically integrated factory for physical superintelligence to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence. - **Entity Type**: Private (Public Benefit Corporation) - **Headquarters**: Boston/Cambridge, MA, USA and San Francisco, CA, USA - **Founded**: Not publicly available (company website launched April 2026) - **Founders**: Dr. Alex Wissner-Gross and Matthew Pines (co-founders) [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence) ## Core Business - Primary industry/industries: Artificial Intelligence, Physics R&D, Scientific Discovery - Target customers: B2B – organizations with hard physics problems (e.g., energy, materials, defense); also open-source community for its AI copilot. - Mission or purpose statement: “Discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence – safely, verifiably, and for broad public benefit.” [psi.inc](https://www.psi.inc/) ## Products & Services - **[Get Physics Done (GPD)]**: An open-source AI copilot built by physicists for physicists – the first agentic AI physicist. Released as open-source software (GitHub stars: 835). [github.com](https://github.com/psi-oss) - **Vertical Integration Platform**: PSI is building an end-to-end system that reasons like a theorist, validates like a computational physicist, tests like an experimentalist, and drives breakthroughs through to commercial deployment. [psi.inc](https://www.psi.inc/) ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Open-source repository “Get Physics Done” has 835 GitHub stars; team size ~20 employees (physicists, engineers, AI researchers) [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence) - **Notable Investors/Partners**: Not disclosed. Board includes Dr. Alex Wissner-Gross (co-founder). Selectively partnering with organizations facing hard physics problems. [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence) - **Growth Signals**: Actively hiring for multiple roles (AI research, engineering, physics); open-sourcing internal tools; expanding team in Boston and San Francisco. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/psi) ## Competitive Advantages - **First-mover in physical superintelligence**: Vertically integrated approach from theory to commercial deployment, unlike pure AI labs or traditional R&D. - **World-class talent pool**: Team from Google, OpenAI, Meta, Harvard, MIT, Stanford, Oxford, Cambridge, Johns Hopkins, Perimeter Institute [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence). - **Public Benefit Corporation (PBC)**: Governance structure designed for broad public benefit from day one, enabling long-term, mission-aligned work. - **Open-source strategy**: GPD lowers barriers for physicists and builds community trust and adoption. ## Strategic Focus - **Industrialize scientific discovery**: Accelerate physics from a field of incremental progress to rapid, systematic breakthroughs. - **Scale AI for physics**: Build infrastructure that combines AI reasoning, computational validation, and experimental testing. - **Selective partnerships**: Work with organizations whose hardest problems demand fundamentally new physics. ## Why Work Here - **Mission-driven**: Opportunity to work on unlocking the next golden age of physics (transistors, lasers, nuclear energy → new physics). - **Remote/hybrid**: Hiring for Boston/Cambridge and remote roles [vanlett.com](https://vanlett.com/matthew_pines). - **Small, high-impact team**: ~20 people from top institutions; flat, fast-moving culture. - **Cutting-edge tech**: Build with AI superintelligence, open-source tools, and real physics experiments. - **Public Benefit Corporation**: Work that prioritizes societal benefit alongside discovery. - **Perks**: Not explicitly listed, but likely competitive for a well-funded AI startup. ## Sources 1. [psi.inc](https://www.psi.inc/) 2. [theinnermostloop.substack.com](https://theinnermostloop.substack.com/p/physical-superintelligence) 3. [github.com/psi-oss](https://github.com/psi-oss) 4. [jobs.ashbyhq.com/psi](https://jobs.ashbyhq.com/psi) 5. [vanlett.com/matthew_pines](https://vanlett.com/matthew_pines) ## Other roles at Physical Superintelligence - [Technical Program Manager](https://feeny.ai/job/technical-program-manager-physical-superintelligence-boston-y458ar5w9dx6) — Boston, MA - [Head of Talent](https://feeny.ai/job/head-of-talent-physical-superintelligence-boston-3m52pr352ynp) — Boston, MA - [Member of Technical Staff, Product Engineering](https://feeny.ai/job/member-of-technical-staff-product-engineering-physical-superintelligence-boston-yn94e3wzsp1y) — Boston, MA - [Member of Technical Staff, Engineering (General Application)](https://feeny.ai/job/member-of-technical-staff-engineering-general-application-physical-bsjmsjkj3b8e) — Boston, MA - [Member of Technical Staff, Performance & Capacity](https://feeny.ai/job/member-of-technical-staff-performance-capacity-physical-superintelligence-boston-da6vtjr71gyn) — Boston, MA - [Member of Technical Staff, Data Systems](https://feeny.ai/job/member-of-technical-staff-data-systems-physical-superintelligence-boston-1qz6aq8a03xq) — Boston, MA - [Discovery Portfolio Manager](https://feeny.ai/job/discovery-portfolio-manager-physical-superintelligence-boston-p7mxn7scr9st) — Boston, MA - [Member of Technical Staff, ML Engineer](https://feeny.ai/job/member-of-technical-staff-ml-engineer-physical-superintelligence-boston-zbj6gms6dqrn) — Boston, MA - [Head of Applied AI](https://feeny.ai/job/head-of-applied-ai-physical-superintelligence-boston-g9z4wjvfmv9d) — Boston, MA - [Head of Physics](https://feeny.ai/job/head-of-physics-physical-superintelligence-boston-8vd9g7nx5z1a) — Boston, MA