Applied Research Engineer - Own Technical Deployments and Troubleshooting

hud • Singapore

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AI Summary

Lead technical deployment requests, troubleshoot issues, and build tools for frontier AI labs and data vendors. Strong generalist AI engineer needed to work closely with clients and balance speed and quality.

Key Highlights

Own technical deployment requests from start to finish

Troubleshoot ambiguous technical problems and resolve them

Build tools and one-off pipelines to solve urgent customer problems

Coordinate with research and GTM teams to unblock deployments

Key Responsibilities

Own technical deployment requests from triage to completion

Ask clarifying questions to understand customer needs

Build tools and one-off pipelines to solve urgent customer problems

Coordinate with research and GTM teams to unblock deployments

Document recurring issues and turn repeated manual work into reusable tools or processes

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Technical Skills Required

Python Docker Linux

Benefits & Perks

Competitive compensation

100% covered top-of-the-line medical, dental, and vision insurance (US employees)

Unlimited access to tokens for AI tools

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Nice to 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

Job Description

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 and wants to work closely with frontier AI labs and data vendors.

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