Senior Research Infrastructure Engineer

The role

You will build software and infrastructure to accelerate research on training and evaluating frontier AI agents. You will develop tools, pipelines, and execution infrastructure to help researchers iterate on environments, collect trajectories, and evaluate model behavior.

What you will do

• Build infrastructure for research on agent behavior through environment execution, trajectory collection, and evaluation at scale
• Develop reusable tools, APIs, and pipelines for launching experiments and managing datasets
• Turn research prototypes and experimental workflows into tested, documented software
• Design experiments to understand model behavior, agent failure modes, and data quality issues
• Improve orchestration, observability, and recovery from failed runs to make experimentation faster and more cost-efficient
• Partner with research and engineering to translate research needs into infrastructure priorities and architecture decisions

Required qualifications

• Strong software engineering fundamentals
• Proficiency in Python
• 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
• Ability to work closely with researchers to translate research needs into software
• Independent technical judgment to set priorities and make architecture decisions

Nice to 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

Benefits

• Competitive compensation
• 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
• Equinox membership and commuter benefits (US employees)
• Health/wellness stipend (Singapore employees)
• Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
• Annual travel budget to visit either office

Before you apply

• We provide support for relocation and visas for strong full-time candidates to the US or Singapore
• The process is 2 technical interviews and a 2-3 day work trial

About the company

HUD's mission is to build reliable, fair and open infrastructure for AI data. Their marketplace and platform are used by startups, Fortune 500 companies and frontier labs.