Member of Technical Staff, Staff Physicist, Quantum Information and AI

The role

You will help build an AI Physicist at the frontier of Quantum Information and AI. You will review model reasoning, create gold-standard demonstrations, and coordinate with an external Collaborators program.

What you will do

• Review and critique model reasoning in quantum information and adjacent theory
• Identify conceptual errors, missing assumptions, and invalid proof steps
• Provide corrections, alternative derivations, and counterexamples
• Translate domain judgment into actionable research recommendations
• Create gold-standard demonstrations and reference solutions for training
• Provide structured preferences and rankings over model outputs
• Help build the Collaborators program of expert peers
• Coordinate review cycles and incorporate collaborator feedback
• Align external reviewer standards with internal research goals
• Contribute to open-science artifacts like benchmarks, datasets, and preprints

Required qualifications

• PhD in Physics, Quantum Information, Theoretical CS, or closely related field
• Postdoctoral-level research maturity
• Demonstrated ability to do research-grade reasoning in quantum information
• Ability to critique proofs, derivations, and scientific arguments with rigor
• Deep fluency in core quantum information topics
• Strong mathematical foundations in linear algebra, probability, optimization, information-theoretic reasoning, differential equations, group theory, Lie Algebras, Hamiltonian and Lagrangian dynamics
• Scientific programming skills in Python
• Experience with Git and LaTeX
• Working familiarity with modern ML training workflows
• Strong written communication
• Ability to coordinate external reviewers and internal teams
• Entrepreneurial and mission-driven mindset

Nice to have

• Experience contributing to evaluation methodology, benchmarking, or systematic error analysis
• Experience at the intersection of quantum and machine learning
• Familiarity with preference modeling, reward modeling, or building evaluation datasets for frontier models
• Comfort with PyTorch and JAX or similar
• Comfort with quantum tooling such as Qiskit, PennyLane, or Cirq
• Publication record in high-impact physics journals

About the company

FirstPrinciples is a non-profit organization building an autonomous AI Physicist to understand the nature of reality. It operates as a global nonprofit organization with a Canadian foundation and a US-based 501(c)(3).