Research Engineer, Agentic AI Evals
About HUD
HUD (YC W25) does RL and evaluations for frontier AI agents. Our HUD agentic RL platform is used by frontier labs, Fortune 500 companies and startups. We have grown revenue and raised funding from YC, A16Z and other leading VCs to scale fast.
About the role
We're looking for a research engineer to help build out task configs and environments for evaluation datasets on HUD's CUA evaluation framework.
Responsibilities
Build out environments for HUD's CUA evaluation datasets, including evals for safety redteaming, general business tasks, long-horizon agentic tasks etc.
Deliver custom CUA datasets and evaluation pipelines requested by clients
Contribute to improving the HUD evaluation harness, depending on your interests, skills, and current organizational priorities. (Optional, but highly valued!)
Experience
Technical Skills
Proficiency in Python, Docker, and Linux environments
React experience for frontend development
Production-level software development experience preferred
Strong technical aptitude and demonstrated problem-solving ability
Strong candidates may have:
Startup experience in early-stage technology companies with ability to work independently in fast-paced environments
Strong communication skills for remote collaboration across time zones
Familiarity with current AI tools and LLM capabilities
Understanding of safety and alignment considerations in AI systems
Evidence of rapid learning and adaptability in technical environments (e.g. programming competitions)
Have hands-on experience with or contributed to LLM evaluation frameworks (EleutherAI, Inspect, or similar)
Built custom evaluation pipelines or datasets
Worked with agentic or multimodal AI evaluation systems
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.
Representative projects:
Creating and solving challenging competitive programming problem-sets
Curating large high-quality datasets, especially for research and evaluation of multimodal AI agents
Designing complex, functional fullstack applications. Bonus points if they have users / adopters.
We prioritise contributions that show quality and quantity, such as building out large, high-quality datasets. Imagine making about ~10 small puzzles in mock web environments a day.
Team & Company Details
Team Size: ~15 people currently, mostly full-time in-person, but some remote.
Our team: Our team includes 4 international Olympiad medallists (IOI, ILO, IPhO), serial AI startup founders, and researchers with publications at ICLR, NeurIPS etc
Company stage: We have received $2 million in seed funding, plus very strong demand and revenue growth beyond that. We are scaling profitably and fast to meet demand.
Logistics
Employment: Fulltime preferred, but willing to consider part-time/internship arrangements for exceptional candidates.
Location: Fully remote-friendly. We already have several fulltime, 100% remote hires. But if you’re in the San Francisco Bay Area or Singapore, we do have an office you can work together in. We do prefer applicants who can show up to meetings in Pacific Time (UTC-7:00/8:00) or China/Singapore Time (UTC +8:00).
Visa Sponsorship: We provide support for relocation and visas for strong full-time candidates to USA or Singapore. For part-time/contract/internship arrangements, we'll work fully remote (which makes things simpler anyway).
Timeline: Applications are rolling. The process should involve 1 initial call, 1 five-hour take-home assignment and 1 paid, weeklong work trial before final offer.
Unlimited access to tokens
You will have unlimited access* to API credits for leading providers like OpenAI, Anthropic, Gemini, 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 or elsewhere if we missed your application!