Applied Research Engineer

HUDSingapore, CA
Onsite

About The Position

HUD 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. 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.

Requirements

  • Proficiency in Python, Docker, and Linux environments
  • Experience 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 training
  • 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

Nice To Haves

  • 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

Responsibilities

  • Own technical deployment requests from frontier AI labs, data vendors, and internal teams from triage to completion
  • 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
  • Coordinate with research and GTM teams to unblock deployments
  • Balance speed and quality in situations where customers need fast turnaround and the path is not fully specified
  • Document recurring issues and turn repeated manual work into reusable tools or processes

Benefits

  • Competitive compensation
  • 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees)
  • Lunch and dinner when you’re in the office
  • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
  • Equinox membership
  • 401k
  • Commuter benefits (US employees)
  • Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
  • Support for relocation and visas for strong full-time candidates to the US or Singapore
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service