HUD - Senior Research Infrastructure Engineer
Requirements
• Strong software engineering fundamentals and proficiency in Python, with a record of building maintainable systems used by others • Ownership of backend services, data pipelines, developer tools, or infrastructure from design through deployment and operation • Sound judgment about APIs, data models, asynchronous workloads, and the tradeoffs involved in building reliable systems • Comfort with Docker, Linux, cloud infrastructure, and debugging failures across application code and the systems it runs on • The ability to work closely with researchers, understand experimental workflows, and translate open-ended research needs into useful software • Independent technical judgment to set priorities, make pragmatic architecture decisions, and improve systems as their users and workloads grow • Strong candidates may also have: • Working knowledge of reinforcement learning, including environments, rollouts, reward signals, and evaluation workflows • Experience building research infrastructure, ML pipelines, or tools that made a research team faster • Familiarity with distributed job execution, containerized environments, or high-concurrency workloads • A track record of improving experiment reproducibility, data lineage, or visibility into complex pipeline failures • 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. • Team Size • 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. • Our team: • Company stage: We have 8 figures in funding and are scaling profitably and quickly to meet very strong demand. • Company stage: • Logistics • Logistics • Employment: Full-time. • Employment • 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. • Location • 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. • Timeline
Responsibilities
• Build infrastructure that supports research on agent behavior through reliable environment execution, trajectory collection, and evaluation at scale • Develop reusable tools, APIs, and pipelines that let researchers launch experiments, manage datasets and configurations, and inspect trajectories and evaluation results • Turn research prototypes and experimental workflows into tested, documented software that researchers can reuse and extend • Design experiments to understand model behavior, agent failure modes, and data quality issues • Make experimentation faster, more reproducible, and more cost-efficient by improving orchestration, observability, and recovery from failed runs • Partner with research and engineering to translate evolving research needs into infrastructure priorities and architecture decisions, owning systems from implementation through ongoing operation
Benefits
• 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees) • Lunch and dinner for in-office employees • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays • 401k with a 4% match • Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore 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. • Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place • Annual travel budget to visit either office • Actual offers are adjusted for experience and location, but our base salary bands are • San Francisco (and other major US cities): $175,000 - $260,000 • Singapore: $130,000 - $195,000 • Rest of world: $105,000 - $195,000 • 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!
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