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Research Engineer (General)

HUD· Engineering & Research
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San Francisco, Singapore, Remote (Asia), Remote (North America)$135k - $230kFull-timePosted 3mo ago

About the role

Research Engineers to build the technical foundation for training and evaluating frontier AI agents, with flexible focus areas (QC Automation, Benchmarks, Synthetic Data).

Responsibilities

  • Build systems for creating, running, evaluating, and improving agent training environments
  • Design experiments to understand model behavior, agent failure modes, and data quality issues
  • Develop tools that help researchers, engineers, and data vendors create higher-quality tasks, trajectories, and feedback loops
  • Work across the full lifecycle of agent training data - task design, environment setup, trajectory collection, evaluation, and validation
  • Partner with external vendors to identify bottlenecks and improve the quality and throughput of HUD’s data engine
  • Build metrics and analyses that help us understand whether our tasks, environments, and evals are actually useful for training frontier agents

Qualifications

  • Proficiency in Python, Docker, and Linux environments
  • Experience working on benchmarks and evals - you can reason about what makes a task realistic, a rubric reliable, an environment usable, and a trajectory useful for RL training
  • Strong attention to detail and the ability to spot subtle inconsistencies in data, model behavior, or task design
  • Experience building tools, pipelines, experiments, or infrastructure without a fully prescribed roadmap
  • Early-stage startup experience with ability to work independently in fast-paced environments

Skills

Required:PythonDockerLinuxBenchmarks and evals

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
  • Other perks including an Equinox membership and commuter benefits (US employees) and a health/wellness stipend (Singapore employees)
  • Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc. (no observed usage limits)
  • 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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