Research Engineer, Benchmarks

About HUD

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.

About The Role

We’re looking for Research Engineers to build high-quality benchmarks for evaluating frontier agents on domain-specific tasks. You’ll build benchmarks that are technically rigorous, practically useful, and credible to frontier labs.

Responsibilities

• Own the design, implementation, and quality of HUD’s internal agent benchmarks
• Work with subject-matter experts to define tasks and create domain-specific benchmarks that evaluate agents on realistic workflows
• Build infrastructure to reliably run models and agents against benchmark tasks
• Develop metrics and analyses to understand benchmark difficulty, reliability, and failure modes
• Validate whether benchmark performance correlates with real-world evals, customer needs, and lab expectations
• Write clear documentation and benchmark reports that make results legible and credible to technical audiences

Experience

• Proficiency in Python, Docker, and Linux environments
• Published papers or written technical blogs on relevant topics such as public benchmarks and their limitations, model failure modes, etc.
• Strong understanding of what a “good benchmark” means and what makes one realistic, reliable, and useful
• Experience working on environments and evals
• Curiosity and ability to truly understand how workflows in various domains work
• Detail-oriented and able to spot subtle inconsistencies or edge cases in tasks
• Able to reason from first principles about task design, scoring, and failure modes
• Thriving in unstructured problem spaces

Team & Company Details

• Team 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.

Logistics

• Employment: 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 offer

• 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
• Other perks including an Equinox membership, 401k, and commuter benefits (US employees)
• Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc.

Contact

If you have any questions or would like to apply, please contact us at [[email removed]](mailto:[email removed]) or elsewhere.