micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

The role involves identifying open problems, new bounds, or tractable challenges in your subfield and investigating them rigorously with frontier AI models and agents, whether by attempting proofs, developing algorithms, or running simulations. You'll verify outputs through proof checking, reproduction of numerical results, or formal tools, and assess novelty and correctness against recent literature. Methods, partial results, and obstacles get documented in clear written reports, with promising directions flagged for senior researchers to pursue further.