PSI
Member of Technical Staff, AI Research
Boston · Staff+
Sponsorship not specifiedDetected 176 days ago
AlgorithmsMachine LearningPyTorchAgentic AIResearchPublic Speaking
About the role
- 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.
Responsibilities
- 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.
- Build and train AI agents and training systems that learn to do physics.
- 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.
- Collaborate with physicists who design verification harnesses and with engineers who build training infrastructure. Ship working systems end-to-end, not isolated research artifacts.
- engineers work with agentic coding tools daily, write specs that are legible to humans and agents alike, and lead with leverage.
Requirements
- You have produced original research that the community recognizes.
- You have shipped working RL systems that beat non-trivial baselines, with rigorous experimental methodology.
- Proficiency with modern ML frameworks and distributed training.
- You can move from a single GPU to a cluster without rewriting your code, and you understand what breaks at each scale.
Nice to have
- Hands-on experience with modern RL algorithms (PPO, SAC, MuZero, multi-agent self-play, search-augmented methods, or comparable).
- Deep fluency with PyTorch or JAX, plus distributed training via Ray, XLA, Accelerate, or comparable.
- Experience applying agents to simulators, scientific tools, games, or rigorous benchmark suites.
- Open-source contributions, conference presentations, or shipped research artifacts that the community has adopted.
- This role is based in Boston.
- We evaluate on technical breadth, systems thinking, scientific curiosity, and shipping velocity.
Compensation
- Location and Compensation
Benefits
- We offer competitive compensation including salary, benefits, and meaningful early-stage equity.
Company info
- We are seeking engineers to build platform infrastructure at the intersection of computational science, AI systems, and software engineering.
Equal opportunity
- We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.
This listing is sourced directly from PSI's careers page and normalized into a canonical job model.