Forward Deployed Research Engineer

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. About the role We’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. Responsibilities Own technical deployment requests from frontier AI labs, data vendors, and internal teams from triage to completion Build RL environments and evals that satisfy the technical requirements and needs of frontier AI labs, sometimes under short timelines Ask the right questions to clarify ambiguous asks and identify what actually needs to be done Build tools and one-off pipelines to solve urgent customer or partner problems Balance speed and quality in situations where customers need fast turnaround and the path is not fully specified Experience You may be a good fit if you have: Experience building 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 training Core engineering experience, preferably in a forward deployed or customer success context Strong debugging instincts across code, data, and environments Demonstrated ability to operate independently in ambiguous situations without a fully prescribed roadmap Strong judgment about when to move fast, when to escalate, and when correctness or security requires extra care Comfort working directly with technical customers, vendors, or cross-functional internal teams Strong candidates may also have: Experience in applied research engineering or forward-deployed engineering Experience handling urgent production, customer, or deployment issues Early-stage startup experience with ability to work independently in fast-paced environments Strong communication skills for remote collaboration across time zones 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. Team & company details Team Size : ~25 people currently, mostly full-time in-person, but some remote. Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), the former #1 ranked Catan player in the world, serial AI startup founders, and researchers with publications at ICLR, NeurIPS, etc. Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand. Logistics Employment : Full-time. Location : We have offices in San Francisco or Singapore but are open to remote candidates who can work hours that 70-80% overlap with either San Francisco or Singapore time zones. 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 offer Competitive compensation 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees) Lunch and dinner for in-office employees Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays 401k with a 4% match Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore 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. Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place Annual travel budget to visit either office Compensation Actual offers are adjusted for experience and location, but our base salary bands are San Francisco (and other major US cities): $105,000 - $180,000 Singapore: $100,000 - $135,000 Rest of world: $100,000 - $135,000 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!