Research Engineer, Synthetic Data

Job description

# **About HUD** [HUD](https://www.hud.ai/) 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 our synthetic data pipeline. You’ll 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 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 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. \**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 [recruiting@hud.so](mailto:recruiting@hud.so) or elsewhere if we missed your application!