Jobs at FirstPrinciples Foundation

Work directly with physicists to drive adoption of an AI research platform: own user lifecycle from discovery to retention, design onboarding and scalable workflows, build guides and tooling, identify UX friction, and act as a technical point of contact while partnering with research and engineering.

Design and implement end-to-end human-AI interactions for a domain-specialized AI product. Translate model outputs into intuitive, trustworthy interfaces; prototype and ship responsive frontend code; define design systems and UI patterns; iterate with product, engineering, and users to refine experiences for uncertainty, explanations, and model steering.

Serve as a domain expert reviewer for an AI-driven theoretical physics system focused on quantum information. Validate and frame research questions, rank and evaluate idea novelty and tractability, review AI-generated Dynamic Research Objects for mathematical and literature soundness, identify gaps or errors, and advise on improving the system's reasoning and evaluation criteria. Commitment: ~15 hours/month for a 4-month engagement; modest honorarium provided.

Design, deploy, and operate Kubernetes, GPU, and HPC compute across bare metal and cloud. Manage scheduling (Slurm/K8s), CUDA and drivers, storage, observability, IaC, deployment workflows, and support researchers to ensure reliable, scalable inference and research infrastructure.

Identify, close, and operationalize strategic partnerships with AI labs, infrastructure providers, and research organizations. Lead end-to-end partnership discussions, define technical integration details (APIs, data schemas, compute/tooling exchanges), collaborate with engineering and research teams, negotiate granular commercial and technical terms, and ensure agreements become functioning integrations that deepen long-term collaboration.

Lead end-to-end operations for an AI-native Physicist Fellowship: recruit fellows, run selection processes, coordinate advisors and technical teams, design cohort programming, track metrics, and build ecosystem relationships to support AI-driven scientific research.