Research Manager

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.

Were looking for a Research Manager to lead research that makes HUDs agent training data and evals more useful for improving frontier models. Youll lead research engineers through ambiguous projects and turn findings into methods that can be used at scale.

Youll 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.

• Set the research direction for data quality including how HUD measures how training data impacts agent behavior and performance after training and what makes data valuable

• Lead synthetic data efforts to understand how various data types can be efficiently transformed into formats useful for training

• 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 adversarial checks and feedback loops that help users improve their data

• 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

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 dont meet all criteria.

• 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.

• 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.

• 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 (in-office employees)

• 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:

Manager