HUD is seeking Research Engineers to build our synthetic data pipeline. You’ll turn domain‑specific workflows into synthetic training tasks that are realistic enough to teach useful behavior, structured enough to generate at scale, and difficult enough to expand model capabilities.
You will work with subject‑matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains, design generation methods, and build tooling to mutate, validate, and
#J-18808-LjbffrSynthetic Data Research Engineer: Scale Realistic Training in san francisco at Unknown Company
This position is listed as full time and onsite.