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Research Engineer, Synthetic Data

hud
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Hybrid (San Francisco / Singapore)$135k - $230kFull-timePosted 3mo ago

About the role

HUD is building a platform and marketplace for RL environments and AI data. This role focuses on building HUD’s synthetic data pipeline to generate diverse, realistic, and learnable training tasks for AI agents across professional and technical domains.

Responsibilities

  • Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains
  • Design synthetic task generation methods that produce diverse, realistic, and learnable tasks
  • Build systems and tooling to mutate, validate, and improve synthetic tasks
  • Analyze model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail
  • Develop metrics to quantify and understand synthetic task diversity, realism, learnability, etc.

Qualifications

  • Proficiency in Python, Docker, and Linux environments
  • Experience with synthetic data research methods
  • Strong understanding of what “good synthetic data” means and its limitations
  • Built synthetic data pipelines end-to-end without a fully prescribed roadmap
  • Experience working on environments, evals, and benchmarks
  • Detail-oriented with ability to spot edge cases in synthetic data (plus)
  • Ability to reason from first principles about task design, scoring, and failure modes (plus)
  • Thrive in unstructured problem spaces (plus)
  • Early-stage startup experience with independent work (plus)
  • Strong communication skills for remote collaboration across time zones (plus)

Skills

Required:PythonDockerLinux

Benefits

  • Competitive compensation
  • 100% covered medical, dental, and vision (US and Singapore)
  • Lunch and dinner for in-office employees
  • Company-wide holiday break (Christmas Eve to New Year’s Day) plus PTO and holidays
  • Equinox membership, 401k, and commuter benefits (US) or health/wellness stipend (Singapore)
  • Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc. (no known usage limit)
  • Two top-floor offices in San Francisco and Singapore
  • Annual travel budget to visit either office
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About hud

Platform for building RL environments and evals

HUD (YC W25) is developing agentic evals and RL environments for Computer Use Agents (CUAs) that browse the web for frontier AI labs. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. People don't actually know if AI agents are working reliably. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.

artificial-intelligencereinforcement-learning
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