RESEARCHER (GENERAL)
ABOUT THE COMPANY
We're building autonomous research agents for recursive self-improvement (multi-agent systems that propose, run, and analyze machine learning experiments). We're a small team based in San Francisco, on-site
ABOUT THE ROLE
As a Researcher on our team, you'll design experiments and develop methods that drive how our autonomous research agents make decisions. You'll work across the full ML research stack (problem formulation, method design, experimentation, analysis, write-up) and you'll do it on problems that don't always have established benchmarks because we're inventing the workloads.
The work is open-ended and concrete at the same time. Open-ended because the research problems are constantly evolving and we don’t prescribe approaches. Concrete because the research questions are motivated by real-world applications. Open-ended because we don't have prescribed research directions; concrete because every experiment ties to something the agents will actually do. You'll have real autonomy (and the corresponding responsibility for choosing well).
WHAT YOU'LL DO
Identify research questions that, when answere
