Research Engineer (General)

• Build systems for creating, running, evaluating, and improving agent training environments
• Design experiments to understand model behavior, agent failure modes, and data quality issues
• Develop tools that help researchers, engineers, and data vendors create higher-quality tasks, trajectories, and feedback loops
• Work across the full lifecycle of agent training data - task design, environment setup, trajectory collection, evaluation, and validation
• Partner with external vendors to identify bottlenecks and improve the quality and throughput of HUD’s data engine
• Build metrics and analyses that help us understand whether our tasks, environments, and evals are actually useful for training frontier agents
• You may be a good fit if you have:
• Proficiency in Python, Docker, and Linux environments
• Experience working on benchmarks and evals - you can reason about what makes a task realistic, a rubric reliable, an environment usable, and a trajectory useful for RL training
• Strong attention to detail and the ability to spot subtle inconsistencies in data, model behavior, or task design
• Experience building tools, pipelines, experiments, or infrastructure without a fully prescribed roadmap
• Early-stage startup experience with ability to work independently in fast-paced environments
• Experience building internal tools, research infrastructure, or data pipelines
• Experience designing metrics and validation workflows
• A background in competitive programming, Olympiad medaling, research, or unusually strong independent project experience
• Thrive in unstructured problem spaces
• 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 Size: ~25 people currently, mostly full-time in-person, but some remote.
• Our team: Our team includes 4 International Olympiad medalists (IOI, ILO, IPhO), the former #1 ranked Catan player in the world, 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.

None flagged.