Research Manager
Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 26, 2026.
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 a Research Manager to lead research that makes HUD’s agent training data and evals more useful for improving frontier models. You’ll lead research engineers through ambiguous projects, and turn findings into methods that can be used at scale.
You’ll stay close to the technical work while helping the team choose the right questions, run rigorous experiments, and deliver results. This role calls for an understanding of how and why models train: which signals teach useful behavior, where apparent progress is misleading, and how data and eval design can change outcomes.
Responsibilities
Set the research direction for data quality, including how HUD measures whether tasks, trajectories, rewards, and evals are reliable and useful for training agents
Lead research engineers from problem definition through experiments, implementation, and clear conclusions; coach them to strengthen technical judgment and execution
Design and review experiments that connect model behavior and failure modes to data, environment, and reward design
Develop methods for validating and improving training data at scale, including trajectory audits, grader checks, and feedback loops
Partner with research engineers, domain experts, and data vendors to turn research insights into better workflows, tools, and quality standards
Communicate findings and tradeoffs clearly so the team can prioritize work and apply what it learns across research areas
Experience
You may be a good fit if you have:
Experience leading technical research projects to completion, from an open question to evidence, a decision, and a working result
Experience directly managing and mentoring researchers or research engineers while remaining engaged in technical work
A strong understanding of machine learning and reinforcement learning, including how training objectives, data, and feedback shape model behavior
Experience with agent training data, evals, benchmarks, synthetic data, or model evaluation infrastructure
Sound experimental judgment: you can distinguish a useful training signal from a task or metric that only looks convincing
Strong written communication and the ability to explain methods and findings to researchers, engineers, and external partners
Strong candidates may also have:
Built scalable data quality systems or validation pipelines for model training
Experience diagnosing reward hacking, grader errors, or other subtle agent failure modes
Experience translating research findings into tools and processes used by others
Early-stage startup experience and strong communication skills for collaboration across teams and 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 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 from Blue Shield of CA (US employees)
Lunch and dinner when you’re in the office (in-office employees)
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 [email protected] or elsewhere if we missed your application!