qubitsok.com
Cut Noise. Work Quantum.
Americas, United States
•
Posted 25 days ago
💖 FirstPrinciples
Role Type
Role Focus
Seniority
Employer Type
This role is for a Staff Physicist specializing in Quantum Information and AI to help develop an autonomous AI Physicist. The primary goal is to apply expertise in quantum information theory to guide research direction, develop rigorous evaluation methodologies, and create new benchmarks for the AI system. This position is central to improving production models and generating publishable scientific results in collaboration with research and engineering teams.
Key Responsibilities
Review and critique the model's scientific reasoning in quantum information and related theories, identifying conceptual errors and invalid proof steps.
Provide clear corrections, alternative derivations, and minimal counterexamples suitable for training and fine-tuning the system.
Translate expert domain judgment into actionable research recommendations for improving model behavior and reasoning style.
Coordinate the Collaborators program, managing external review cycles and integrating feedback into training priorities and benchmark design.
Align external reviewer standards with internal research goals and engineering constraints to ensure scientific defensibility and fast iteration.
Help drive the system to produce high-quality research outputs and contribute to open-science artifacts like benchmarks, datasets, and technical reports.
Required Skills
A PhD in Physics, Quantum Information, Theoretical CS, or a closely related field, demonstrating postdoctoral-level research maturity.
Demonstrated ability to perform research-grade reasoning in quantum information and rigorously critique scientific arguments and proofs.
Deep fluency in core quantum information topics, including quantum algorithms, quantum error correction, and quantum information theory.
Strong mathematical foundations covering linear algebra, probability, optimization, and information-theoretic reasoning.
Scientific programming proficiency in Python and familiarity with standard research tooling like Git and LaTeX.
Working familiarity with modern machine learning training workflows and how to operationalize expert feedback.
Strong written communication skills, necessary for providing precise critiques and guidance.
Nice-to-have Skills
Experience at the intersection of quantum computing and machine learning.
Familiarity with preference modeling, reward modeling, or building evaluation datasets for frontier models.
Comfort using PyTorch and JAX or similar deep learning frameworks.
Comfort with quantum tooling such as Qiskit, PennyLane, or Cirq.
A publication record in high-impact physics journals.
Technology Tags
The job requires deep fluency and research guidance in core quantum information topics and theory.
Experience at the intersection of quantum and machine learning is explicitly listed as a key required skill.
Deep fluency in core quantum information topics explicitly includes quantum algorithms.
Expertise and critical review of model reasoning in quantum error correction is a key responsibility.
The role involves training an AI Physicist system and requires familiarity with modern machine learning training workflows.
Deep fluency in strong mathematical foundations, including linear algebra, is explicitly required for the role.
The role requires scientific programming skills in Python and standard research tooling like Git and LaTeX.
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