Physical Superintelligence - PSI Fellow

Boston, Massachusetts, United States3w ago

In Office Principal NA Artificial Intelligence Fellow Python Team Leadership

Requirements

• 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. • 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.

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.