Research Engineer - Frontier AI Training & Evals

Visa Hunt

San Francisco, Northern (CA, KY)

Hybrid

USD 140,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Medical, dental, vision coverage
Lunch and dinner in office
Holiday break
Equinox membership
401k
Commuter benefits
Unlimited tokens for AI tools

Job summary

HUD is seeking Research Engineers to build the core systems for training and evaluating frontier AI agents. You will develop environments, improve data quality, and translate real workflows into benchmarks and tasks for RL training.

The role emphasizes constructing end-to-end pipelines, experiments, and tools for researchers and data vendors. On-site in the San Francisco Bay Area, with visa sponsorship for strong candidates.

Qualifications

  • Proficiency in Python, Docker, and Linux environments.
  • Experience with benchmarks and evaluation tasks for RL training.
  • Strong attention to detail and ability to spot inconsistencies in data or task design.
  • Experience building tools, pipelines, experiments, or infrastructure without a fully prescribed roadmap.

Responsibilities

  • Build systems for creating, running, evaluating, and improving agent training environments.
  • Design experiments to understand model behavior, failure modes, and data quality issues.
  • Develop tools to help researchers and engineers create higher-quality tasks and trajectories.
  • Support the full lifecycle of agent training data from task design to validation.
  • Collaborate with external vendors to improve data engine throughput and quality.
  • Create metrics and analyses to assess usefulness of tasks and environments.

Skills

Python
Benchmarks & evals
Attention to detail
Remote collaboration

Tools

Docker
Linux

Job description

HUD is seeking Research Engineers to build the core systems for training and evaluating frontier AI agents. You will develop environments, improve data quality, and translate real workflows into benchmarks and tasks for RL training.

The role emphasizes constructing end-to-end pipelines, experiments, and tools for researchers and data vendors. On-site in the San Francisco Bay Area, with visa sponsorship for strong candidates.

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