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

We are looking for a Member of Technical Staff, Staff Physicist to help build an AI Physicist at the frontier of Quantum Information and AI. You will bring expertise in quantum information theory to help with training, evaluation methods, and set research direction for a rapidly evolving scientific system. This is a researcher role at the intersection of AI and physics: you will help invent new benchmarks, metrics, and evaluation methodologies for what it means to do high-quality research in Quantum Information with AI in the loop.

You will work closely with research and engineering teams, and your contributions will flow straight into production model improvements and publishable outcomes.

• Educational Background: PhD in Physics, Quantum Information, Theoretical CS, or closely related field, plus postdoctoral-level research maturity.
• Experience: Demonstrated ability to do research-grade reasoning in quantum information and to critique proofs, derivations, and scientific arguments with rigor. Experience contributing to evaluation methodology, benchmarking, or systematic error analysis in research settings is strongly valued.
• Technical Skills:
• Deep fluency in core quantum information topics (Quantum algorithms, gate quantum computer, annealing quantum computers, quantum error correction, foundation of quantum physics, quantum information theory, quantum field theory).
• Strong mathematical foundations (linear algebra, probability, optimization, information-theoretic reasoning, differential equations, group theory, Lie Algebras, Hamiltonian and Lagrangian dynamics).
• Scientific programming skills in Python plus standard research tooling (Git, LaTeX).
• Working familiarity with modern ML training workflows and how expert feedback can be operationalized to improve model behavior.
• Collaboration & Communication:
• Comfort working closely with engineers and researchers in a fast-moving, cross-functional environment.
• Strong written communication, especially the ability to write precise critiques, crisp guidance, and benchmark specs that others can implement.
• Ability to coordinate external reviewers and internal teams toward a shared standard of scientific quality.
• Mindset: Entrepreneurial & mission-driven, comfortable in a fast-growing, startup-style environment, and motivated by the ambition of tackling one of the greatest scientific challenges in history.

• Experience at the intersection of quantum and machine learning.
• Familiarity with preference modeling, reward modeling, or building evaluation datasets for frontier models.