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Research Engineer, Synthetic Data

HUD· Engineering & Research
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San Francisco, Singapore, Remote (Asia), Remote (North America)$100k - $230kFull-timePosted 3mo ago

About the role

Research Engineer role focused 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 - please elaborate in your application
  • 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

Skills

Required:PythonDockerLinux environmentsSynthetic data research
Nice to have:Task design & evaluation

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) and a 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
Last updated Oct 25, 2026. Interested? Apply on the company site.

About HUD

The platform for building RL environments

The platform for building RL environments. Train specialized agents, evaluate models, and deliver frontier‑grade post‑training data to labs.

AI benchmarkingEnvironment SDKGRPO trainingHUD Vendor PlatformMCP environmentsRL environmentsTraining + Eval Platformagent training
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