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Builds infrastructure for training and evaluating frontier AI agents, including environment execution, trajectory collection, and evaluation at scale. Owns pipelines, APIs, and orchestration that let researchers run and reproduce experiments. Requires Python, Docker, Linux, and cloud infrastructure experience.
About HUD
HUD'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.
We’re looking for a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents. You’ll build the software and infrastructure that enable HUD’s researchers to iterate on environments, collect trajectories, and evaluate model behavior.
You’ll work closely with research engineers to understand the questions they’re investigating, identify bottlenecks in experimentation, and turn research code into reliable, reusable systems. You’ll own the tools, pipelines, and execution infrastructure that help researchers explore ideas, reproduce results, and scale promising approaches.
You may be a good fit if you have:
Strong candidates may also have:
We prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.
Actual offers are adjusted for experience and location, but our base salary bands are
Due to high volume, we may not actively respond to every application, but feel free to contact us at [email protected] or elsewhere if we missed your application!
