First Principles
15 Remote Job Openings at First Principles
The Talent Acquisition Specialist will own full-cycle recruiting for technical functions, including sourcing, interviewing, and managing the offer process. They will partner with leadership to define hiring strategies and ensure an exceptional candidate experience while building a talent community.
Lead a team of engineers to build core capabilities for an AI scientific research platform while bridging the gap between research prototypes and scalable products. Manage multidisciplinary squads and set the technical direction to turn ambitious research ideas into reliable systems.
Lead a team of researchers to define and execute high-conviction research programs for AI-enabled scientific discovery. Bridge the gap between theoretical research and product capabilities by collaborating with engineering and domain experts in multidisciplinary squads.
Establish and lead the legal function for a global AI research organization, overseeing AI governance, intellectual property, and corporate governance. The role involves negotiating complex data licensing and research collaboration agreements across multiple international jurisdictions.
The role involves researching and developing state-of-the-art AI model architectures that integrate NLP and symbolic reasoning to automate the scientific process. Responsibilities include building data pipelines, establishing custom benchmarks, and managing model training and safety frameworks.
Identify and close strategic partnerships with AI labs and research institutions to secure data, compute, and tooling. Lead the end-to-end technical structuring and operationalization of these integrations to ensure they are impactful and usable.
Bridge the gap between AI technology and physics researchers by managing the end-to-end user lifecycle from onboarding to long-term retention. Partner with engineering and research teams to translate user friction points into product improvements and provide deep technical support.
Program Manager, AI-native Physicist Fellowship
First Principles
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Full Time
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2 months ago
First Principles
Lead the end-to-end operational lifecycle of the AI-native Physicist Fellowship, including recruiting, selection, and fellow support. Coordinate between external advisors and internal technical teams to build a high-signal research ecosystem.
Design and code the AI Physicist research engine, focusing on hypothesis generation, simulations, and validation. Develop custom technical solutions and integrate state-of-the-art AI tools to accelerate theoretical physics research.
Design, deploy, and operate Kubernetes and HPC infrastructure to support AI inference and scientific research workloads. Manage the full lifecycle of compute environments across cloud, bare metal, and hybrid platforms while ensuring reliability and scalability.
The primary focus is developing and stewarding relationships with technology providers, AI research labs, compute providers, and cloud platforms to secure dataset collaborations, infrastructure support, and in-kind compute credits. This involves identifying and developing partnerships across North America, Europe, and Asia to secure resources like GPU compute and engineering collaboration.
As a Research Fellow, you will own a well-scoped research direction that contributes directly to the AI Physicist's ability to reason about physics. You will work on improving model architectures, data ingestion, and evaluation frameworks to enhance the system's performance.
Theo Collaborators engage in validating and guiding the scientific reasoning produced by the AI Physicist. They assess research questions, review AI-generated outputs, and contribute to shaping evaluation criteria for scientific reasoning.
Member of Technical Staff, Staff Physicist, Quantum Information and AI
First Principles
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Full Time
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8 months ago
First Principles
The role involves reviewing and critiquing model reasoning in quantum information and providing expert feedback for model training. Additionally, the candidate will co-develop benchmarks and metrics for evaluating research in Quantum Information with AI.
