Forward Deployed Research Engineer

About the role

ABOUT HUD

HUD https://www.hud.ai/'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.