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. Weve raised $16M from top VCs and were YC W25.

About the role

Were looking for Research Engineers to build our synthetic data pipeline. Youll turn domain-specific workflows into synthetic training tasks that are realistic enough to enough to teach useful behavior structured enough to generate at scale and difficult enough to expand model capabilities.

Responsibilities

• Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains

• Design synthetic task generation methods that produce diverse realistic and learnable tasks

• Build systems and tooling to mutate validate and improve synthetic tasks

• Analyze model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail

• Develop metrics to quantify and understand synthetic task diversity realism learnability etc.

Experience

You may be a good fit if you have:

• Proficiency in Python Docker and Linux environments

• Have experience with synthetic data research methods - please elaborate in your application

• Strong understanding of what good synthetic data means and its limitations

• Built synthetic data pipelines end-to-end without a fully prescribed roadmap

• Experience working on environments evals and benchmarks

Strong candidates may also:

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

• 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 dont meet all criteria.

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. Were 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 youre in the office

• Company-wide holiday break (Christmas Eve to New Years 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. *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.

Due to high volume we may not actively respond to every application but feel free to contact us at or elsewhere if we missed your application!

Required Experience:

IC