791 matches
Member of Technical Staff
4 days agoRoboflow🇺🇸San Francisco, CA
$150k–300kOn-siteFull-timePython - Docker
PromptRemote
$160k–220kRemoteFull-timePython - Docker
Leads researchers and research engineers on HUD's agent training data and evals, setting research direction for data quality and synthetic data. Requires experience leading technical research, mentoring researchers, and understanding ML and reinforcement learning. The posting does not specify a tech stack.
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 Research Manager to lead research that makes HUD’s agent training data and evals more useful for improving frontier models. You’ll lead research engineers through ambiguous projects, and turn findings into methods that can be used at scale.
You’ll stay close to the technical work while helping the team choose the right questions, run rigorous experiments, and deliver results. This role calls for an understanding of how and why models train: which signals teach useful behavior, where apparent progress is misleading, and how data and eval design can change outcomes.
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!
Compensation: $120K - $295K
