3 months ago
Singapore, Singapore or San Francisco, CA, USAMid Level
Responsibilities
- Own technical deployment requests from frontier AI labs, data vendors, and internal teams from triage through completion.
- Clarify ambiguous requests and determine the appropriate technical solution.
- Build tools and one-off pipelines for urgent customer and partner problems.
- Coordinate with research and go-to-market teams to unblock deployments.
- Balance speed and quality when customers need rapid solutions and requirements are incomplete.
- Document recurring issues and convert repeated manual work into reusable tools or processes.
Requirements
- Proficiency in Python, Docker, and Linux environments.
- Experience with benchmarks and evaluations, including realistic tasks, reliable rubrics, usable environments, and useful trajectories for reinforcement-learning training.
- Strong debugging ability across code, data, and environments.
- Ability to work independently in ambiguous situations without a fully prescribed roadmap.
- Sound judgment about speed, escalation, correctness, and security.
- Comfort working directly with technical customers, vendors, and cross-functional internal teams.
- Experience in applied research engineering or forward-deployed engineering is beneficial.
- Experience handling urgent production, customer, or deployment issues is beneficial.
- Early-stage startup experience and the ability to work independently in fast-paced environments are beneficial.
- Strong communication skills for remote collaboration across time zones are beneficial.
- Technical aptitude and learning potential are prioritized over years of experience.
Benefits
- Full-time employment with on-site work in the San Francisco Bay Area or Singapore.
- Relocation and visa support for strong full-time candidates joining the US or Singapore offices.
- 100% covered medical, dental, and vision insurance through Blue Shield of CA for US employees.
- Lunch and dinner provided when working in the office.
- Company-wide holiday break from Christmas Eve through New Year’s Day, in addition to PTO and paid holidays.
- Equinox membership, 401(k), and commuter benefits for US employees.
- Access to ChatGPT, Claude Code, Cursor, and other tools through company-provided token allowances.
- Hiring process includes two technical interviews and a 2–3 day work trial; applications are rolling.
About HUD
HUD builds infrastructure for generating reinforcement-learning training data and evaluations for frontier AI agents, plus a marketplace where labs can buy and sell these assets. Its platform is used by frontier labs, Fortune 500 companies, and startups to create RL environments and post‑training datasets for RFT. Founded in 2025 and based in San Francisco, the company is privately held and a Y Combinator W25 alum.