Forward Deployed Research Engineer

About HUDHUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.About the roleWe’re looking for an Applied Research Engineer to own implementation. Our data buyers and sellers often have time-sensitive asks such as troubleshooting and running evals or cleaning data at scale. You’ll take the lead on diagnosing ambiguous technical problems and resolving them. This work is broad and hands-on - the right fit is a strong generalist AI engineer who can move quickly and wants to work closely with frontier AI labs and data vendors.ResponsibilitiesOwn technical deployment requests from frontier AI labs, data vendors, and internal teams from triage to completionAsk the right questions to clarify ambiguous asks and identify what actually needs to be doneBuild tools and one-off pipelines to solve urgent customer or partner problemsCoordinate with research and GTM teams to unblock deploymentsBalance speed and quality in situations where customers need fast turnaround and the path is not fully specifiedDocument recurring issues and turn repeated manual work into reusable tools or processesExperienceYou may be a good fit if you have:Proficiency in Python, Docker, and Linux environmentsExperience working on benchmarks and evals - you can reason about what makes a task realistic, a rubric reliable, an environment usable, and a trajectory useful for RL trainingStrong debugging instincts across code, data, and environmentsDemonstrated ability to operate independently in ambiguous situations without a fully prescribed roadmapStrong judgment about when to move fast, when to escalate, and when correctness or security requires extra careComfort working directly with technical customers, vendors, or cross-functional internal teamsStrong candidates may also have:Experience in applied research engineering or forward-deployed engineeringExperience handling urgent production, customer, or deployment issuesEarly-stage startup experience with ability to work independently in fast-paced environmentsStrong communication skills for remote collaboration across time zonesWe prioritize technical aptitude and learning potential over years of experience. Motivated candidates are encouraged to apply even if they don't meet all criteria.Team & company detailsTeam Size: ~15 people currently, mostly full-time in-person, but some remote.Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc.Company stage: We have 8 figures in funding and high revenue growth. We’re scaling profitably and quickly to meet very strong demand.LogisticsEmployment: Full-time.Location: On-site only, for now. You can join the team in the San Francisco Bay Area or Singapore offices.Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to the US or Singapore.Timeline: Applications are rolling. The process is 2 technical interviews and a 2-3 day work trial.What we offerCompetitive compensation100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)Lunch and dinner when you’re in the officeCompany-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidaysOther perks including an Equinox membership, 401k, and commuter benefits (US employees)Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.Due to high volume, we may not actively respond to every application, but feel free to contact us at recruiting@hud.so or elsewhere if we missed your application!