Research Engineer, Benchmarks
HUD, San Francisco +3
About the job
About hud
HUD https://www.hud.ai/'s mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.
About the role
We’re looking for Research Engineers to build high-quality benchmarks for evaluating frontier agents on domain-specific tasks. You’ll build benchmarks that are technically rigorous, practically useful, and credible to frontier labs.
Responsibilities
- Own the design, implementation, and quality of HUD’s internal agent benchmarks
- Work with subject-matter experts to define tasks and create domain-specific benchmarks that evaluate agents on realistic workflows
- Build infrastructure to reliably run models and agents against benchmark tasks
- Develop metrics and analyses to understand benchmark difficulty, reliability, and failure modes