Building AI to understand the nature of reality.
Toronto
FirstPrinciples is a new kind of research and technology organization - AI-first, mission-driven, and focused on building systems that advance science. We’re building a platform that helps researchers navigate knowledge, generate and test ideas, and make progress on complex scientific problems. By combining insights from fundamental research with advanced AI, we aim to reshape how scientific discovery happens at scale.
Remote · Ontario, Canada
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.
Remote · Canada
Theo Collaborators engage in validating and guiding the scientific reasoning produced by the AI Physicist. They assess research questions and outputs to ensure scientific soundness and coherence.
Remote · Canada, United States, United Kingdom
The role involves designing, deploying, and operating Kubernetes infrastructure for AI inference and research workloads. Additionally, the engineer will manage GPU and HPC-style compute environments and ensure the reliability and operational health of infrastructure systems.
Remote · Ontario, Canada
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.
Remote · Ontario, Canada
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.
On-site · Canada
The Program Manager will recruit and source exceptional fellows and researchers, manage the fellowship application and selection process, and coordinate with advisors and internal teams. They will also track program metrics and build relationships across the AI and science ecosystem.
Remote · Ontario, Canada
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.
Remote · Canada, United States, United Kingdom
The role involves reviewing and critiquing model reasoning in physics, providing corrections and alternative derivations. Additionally, it includes creating gold-standard solutions and contributing to high-quality research outputs.
Remote · Canada, United States, United Kingdom
You will work directly with physicists to help them run experiments and interpret results. Additionally, you will own the end-to-end user lifecycle, from discovery and activation to onboarding and long-term retention.
Remote · Ontario, Canada
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.
Remote · Ontario, Canada
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.
