HUD
HUD builds infrastructure for generating reinforcement-learning training data and evaluations for frontier AI agents, plus a marketplace where labs can buy and sell these assets. Its platform is used by frontier labs, Fortune 500 companies, and startups to create RL environments and post‑training datasets for RFT. Founded in 2025 and based in San Francisco, the company is privately held and a Y Combinator W25 alum.
Open Positions at HUD
5 open positions
Build privacy and anonymization systems that make sensitive real-world data safe and useful for frontier AI training. You’ll own detection, transformation, evaluation, and production data-protection pipelines across varied and adversarial data sources.
HUD is hiring a Senior Software Engineer, Infrastructure to own the reliability, scale, performance, and developer experience of its cloud platform and backend systems. The role combines hands-on AWS infrastructure and platform engineering with backend architecture, observability, deployment safety, and internal tooling.
HUD is seeking its first full-time Security Engineer to build and lead the company ’s security program across product, cloud infrastructure, data systems, incident response, and compliance. The role offers broad ownership of security and customer trust at a fast-growing AI infrastructure company.
Build HUD’s full-stack product surfaces, backend systems, and internal tools for reinforcement-learning data collection, evaluation, and observability. You’ll work closely with research engineers, vendors, and cross-functional teams to turn ambiguous needs into polished systems for frontier AI agents.
Join HUD as an Applied Research Engineer building tools, pipelines, and evaluations for frontier AI agents. You’ll solve ambiguous, time-sensitive technical problems for AI labs and data vendors while turning recurring work into reusable systems.