Research Fellow

FirstPrinciples

WorldwideFully remoteFull TimeSenior, ExecutiveInformation Technology
Posted 3mo ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 3 months ago · apply link checked 4 hours ago

About the role

About the Company

FirstPrinciples is a non-profit organization building an autonomous AI Physicist to understand the nature of reality. By combining AI, symbolic reasoning, and autonomous research capabilities, we are developing a platform that actively contributes to physics research to accelerate progress on the deepest unsolved problems in the universe.

Responsibilities

  • Own a well-scoped research direction contributing to the AI Physicist's reasoning capabilities
  • Research, design, and test novel model architectures combining NLP, symbolic reasoning, and scientific workflows
  • Prototype embedding representations for physical concepts and mathematical objects
  • Investigate alternatives to transformer-based architectures
  • Develop reinforcement learning loops for internal thought experiments
  • Design and automate scalable data ingestion pipelines for scientific literature and experimental data
  • Create custom benchmarks to measure physical understanding and mathematical reasoning
  • Run and track model training jobs while managing compute usage
  • Implement tests and guardrails to identify low-quality or unsafe outputs
  • Collaborate with engineers to ensure research is production-ready

Requirements

  • PhD or postdoctoral researcher in Computer Science, Machine Learning, Theoretical Physics, or a related field
  • Track record of research in model architectures, representation learning, reasoning systems, or formal physical reasoning
  • Ability to translate abstract theory into testable computational systems
  • Strong builder instincts and ability to operate independently
  • Comfort working across disciplinary boundaries

What we look for

  • PhD or Postdoc in CS, ML, or Theoretical Physics
  • Research track record in model architectures or formal reasoning
  • Ability to translate theory into computational systems
  • Independent problem ownership
Machine LearningReinforcement Learning
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