Research Engineer, Benchmarks

HUD; Singapore; Remote; SGD 100,000 - 175,000; Full time

Benefits offered by this job

Medical coverage

Lunch and dinner for in-office staff

Holiday break

401k match

Equinox membership

Commuter benefits

Unlimited access to tokens for AI APIs

Top-floor offices in SF and Singapore

Annual travel budget to visit offices

Job summary

HUD is seeking Research Engineers to build high-quality benchmarks for evaluating frontier agents on domain-specific tasks. You’ll design, implement, and maintain benchmarks that are technically rigorous, practical, and credible to frontier labs.

You will collaborate with experts to define tasks, build infrastructure to run models, and develop metrics to assess benchmark reliability, with an emphasis on real-world relevance and clear documentation for a technical audience.

Qualifications

• Proficiency in Python, Docker, and Linux environments.
• Published papers or technical blogs on benchmarks and model failure modes; link in application.
• Strong understanding of what a good benchmark means and what makes one realistic, reliable, and useful.
• Experience working on environments and evals.
• Curiosity to understand workflows across domains.

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
• Build infrastructure to reliably run models and agents against benchmark tasks
• Develop metrics and analyses to understand benchmark difficulty, reliability, and failure modes
• Validate benchmark performance against real-world evals, customer needs, and lab expectations
• Write clear documentation and benchmark reports for technical audiences

Skills

Python

Linux

Tools

Docker

Job description

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 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

You may be a good fit if you have:

• 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. - please link in your application

• 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

Strong candidates may also:

• Be detail-oriented and able to spot subtle inconsistencies or edge cases in tasks

• Be able to reason from first principles about task design, scoring, and failure modes

• Thrive in unstructured problem spaces

• 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 brings together five International Olympiad medalists across IOI, ILO and IPhO, researchers published at NeurIPS and ICLR, and engineers and researchers from Google DeepMind, Amazon, AWS, Meta, Qwen, GLM, and Mercor. It also includes operators from BCG and Uber, the first security hire at one of the largest crypto exchanges, serial AI startup founders, former quant researchers, artists and the former #1 ranked Catan player in the world.

• 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): $135,000 - $230,000

• Singapore: $100,000 - $175,000

• Rest of world: $100,000 - $175,000