Senior Research Infrastructure Engineer (AI/ML Systems)

hud • Singapore

Remote Visa Sponsorship Relocation

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AI Summary

Build scalable, reliable infrastructure for AI research, enabling environment execution, trajectory collection, and model evaluation at scale. Collaborate with researchers to optimize experimentation workflows, improve reproducibility, and enhance cost-efficiency. Own end-to-end systems from design to operation, bridging research needs with engineering solutions.

Key Highlights

Design and maintain infrastructure for AI agent research, including environment execution, trajectory collection, and evaluation pipelines

Translate research prototypes into reusable, production-grade software for cross-team use

Work closely with researchers to identify bottlenecks and optimize experimentation workflows for speed, reproducibility, and cost-efficiency

Key Responsibilities

Design and build infrastructure for reliable execution of AI agent environments, trajectory collection, and evaluation at scale

Develop reusable tools, APIs, and pipelines to streamline experiment launch, dataset management, and evaluation result inspection

Convert research prototypes into tested, documented, and maintainable software for cross-team reuse

Optimize experimentation workflows to improve reproducibility, cost-efficiency, and observability

Collaborate with research engineers to identify bottlenecks and translate evolving research needs into infrastructure priorities

Implement distributed job execution, containerized environments, and high-concurrency workloads for scalable research operations

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Technical Skills Required

Python Backend Services Cloud Infrastructure

Benefits & Perks

Competitive compensation ($175,000 - $260,000 in San Francisco, $130,000 - $195,000 in Singapore)

100% covered top-of-the-line medical, dental, and vision insurance

Visa sponsorship for relocation to the US or Singapore

Unlimited access to AI/ML tools (e.g., ChatGPT, Claude Code)

Annual travel budget to visit either San Francisco or Singapore office

Company-wide holiday break (Christmas Eve to New Year’s Day)

401k with 4% match

Equinox membership and commuter benefits (US) or health/wellness stipend (Singapore)

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Nice to Have

Working knowledge of reinforcement learning (environments, rollouts, reward signals, evaluation workflows)

Experience building research infrastructure, ML pipelines, or tools improving experiment reproducibility

Familiarity with Docker, Linux, and debugging failures across application and system layers

Job Description

HUD's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.

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