Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Research Infrastructure Engineer role.
Rezi rewrites your resume against HUD's job description. Free.
Tailor your resume to this Senior Research Infrastructure Engineer role.
Rezi rewrites your resume against HUD's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Research Infrastructure Engineer posting at HUD — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Research Infrastructure Engineer posting at HUD — free, in seconds.
About the Role
We are seeking a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents by building the software and infrastructure that enables researchers to iterate on environments, collect trajectories, and evaluate model behavior. You will collaborate with research engineers to identify bottlenecks, translate research code into reliable systems, and own the tools, pipelines, and execution infrastructure.
Responsibilities
- Build infrastructure for agent behavior research through reliable environment execution, trajectory collection, and evaluation at scale.
- Develop reusable tools, APIs, and pipelines for experiment launching, dataset management, and result inspection.
- Transform research prototypes into tested, documented, and reusable software.
- Design experiments to analyze model behavior, failure modes, and data quality.
- Enhance experimentation speed, reproducibility, and cost-efficiency via improved orchestration, observability, and failure recovery.
- Partner with research and engineering to align infrastructure priorities with evolving research needs, managing systems from implementation to operation.
Requirements
- Strong software engineering fundamentals and Python proficiency, with a history of building maintainable systems for others.
- Experience owning backend services, data pipelines, developer tools, or infrastructure from design through operation.
- Sound judgment regarding APIs, data models, asynchronous workloads, and building reliable systems.
- Comfort with Docker, Linux, cloud infrastructure, and debugging cross-system failures.
- Ability to collaborate with researchers, understand experimental workflows, and translate research needs into software.
- Independent technical judgment for prioritization, pragmatic architecture decisions, and system improvement.
- Working knowledge of reinforcement learning, including environments, rollouts, reward signals, and evaluation workflows.
- Experience building research infrastructure, ML pipelines, or tools that enhance research team productivity.
- Familiarity with distributed job execution, containerized environments, or high-concurrency workloads.
- A track record of improving experiment reproducibility, data lineage, or visibility into pipeline failures.
Skills
- Python
- Docker
- Linux
- Cloud infrastructure
- Reinforcement learning
- APIs
- Data models
- Asynchronous workloads
- Distributed job execution
- Containerized environments
- High-concurrency workloads
Location
- San Francisco
- Singapore
- Remote (with 70-80% overlap with SF or SG time zones)
Work Type
- Full-time
- Remote
- In-person
Experience Level
- Senior
Salary/Compensations
- San Francisco (and other major US cities): $175,000 - $260,000
- Singapore: $130,000 - $195,000
- Rest of world: $105,000 - $195,000
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.
- Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place
- Annual travel budget to visit either office
- Support for relocation and visas for strong full-time candidates to the US or Singapore
About the Company
- HUD's mission is to build reliable, fair and open infrastructure for AI data, making data valuable for creators and trustworthy for trainers.
- The team is a quickly growing group of researchers, engineers, and operators building the economy that shapes AI.
- Backed by $16M from top VCs and YC (W25), HUD's marketplace and platform are used by startups, Fortune 500 companies, and frontier labs.
- The team includes researchers with top academic publications and competitive gaming achievements.
- The company has 8 figures in funding and is scaling profitably and quickly to meet strong demand.