Job Description

Burnin is seeking a founding research scientist to own the research agenda: invariant learning (extracting implicit codebase rules for real-time grading), continuous-time evaluation design (why do LLM agents collapse under temporal pressure?), and new environment design (what is the field failing to measure?). You have deep experience in at least two of: multi-agent systems, RL, program analysis, or evaluation methodology. PhD preferred, equivalent output without one is fine. You write production code, not just experiment scripts. You think about where models break, not what they can do. You will shape the company's research direction as a founding member.