Research Engineer Jobs in Singapore 2026

Ready to build the systems training tomorrow’s frontier AI agents? HUD, a YC-backed startup, seeks Research Engineers in Singapore. Visa and relocation support are offered for strong full-time candidates. If shaping AI evaluation infrastructure excites you, this role offers genuine research depth.

About the Role

You will build systems for creating and evaluating agent training environments. This includes designing experiments to understand model behaviour and failure modes. Additionally, you will develop tools helping researchers produce higher-quality tasks and trajectories. You will also partner with external vendors to improve HUD’s data engine throughput.

This is a general application for candidates unsure which research focus suits them. Options include QC Automation, Benchmarks, and Synthetic Data tracks.

About the Hiring Firm

HUD is a Y Combinator W25 company building infrastructure for reinforcement learning environments and agent evaluations. It has raised $16 million from top venture capital investors. Its platform lets teams wrap real software as tools for AI agents. HUD serves frontier AI labs, Fortune 500 companies, and startups.

The company maintains public benchmarks and contributes to OSWorld-Verified evaluations. Its team includes International Olympiad medalists and researchers published at ICLR and NeurIPS.

Job Duties

• Build systems for creating and evaluating agent training environments
• Design experiments to understand model behaviour and data quality
• Develop tools helping researchers create higher-quality tasks
• Work across the full agent training data lifecycle
• Partner with vendors to improve data quality and throughput
• Build metrics measuring whether tasks and evals are useful

Job Requirements

• Proficiency in Python, Docker, and Linux environments required
• Experience with benchmarks and evals, including task and rubric design
• Strong attention to detail spotting subtle data inconsistencies
• Experience building tools or pipelines without prescribed roadmaps
• Early-stage startup experience with independent working ability preferred
• Motivated candidates encouraged to apply without meeting every criterion

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Conclusion

This role suits technical builders ready to shape frontier AI training infrastructure. With rapid company growth and a talent-dense team, learning potential runs high. For research engineers seeking startup impact, HUD offers a compelling opportunity.

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