Senior AI Research Infrastructure Engineer (Remote)

HUD

United States

Remote

USD 175,000 - 260,000

Full time

10 days ago

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Benefits offered by this job

Medical, dental, vision
401k with 4% match
Equinox membership
Commuter benefits
Unlimited AI tool tokens

Job summary

HUD is seeking a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents. You’ll build software and infrastructure enabling HUD’s researchers to iterate on environments, collect trajectories, and evaluate model behavior.

You’ll collaborate with research engineers to translate evolving research questions into reliable, reusable systems and own tooling from design through ongoing operation.

Qualifications

  • Strong software engineering fundamentals and proficiency in Python.

Responsibilities

  • Build infrastructure that supports research on agent behavior through reliable environment execution, trajectory collection, and evaluation at scale
  • Develop reusable tools, APIs, and pipelines that let researchers launch experiments, manage datasets and configurations, and inspect trajectories and evaluation results
  • Turn research prototypes and experimental workflows into tested, documented software that researchers can reuse and extend
  • Design experiments to understand model behavior, agent failure modes, and data quality issues
  • Make experimentation faster, more reproducible, and more cost-efficient by improving orchestration, observability, and recovery from failed runs
  • Partner with research and engineering to translate evolving research needs into infrastructure priorities and architecture decisions, owning systems from implementation through ongoing operation

Skills

Python
Backend services
Data pipelines
APIs
Docker

Tools

Docker
Linux
Cloud infrastructure

Job description

HUD is seeking a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents. You’ll build software and infrastructure enabling HUD’s researchers to iterate on environments, collect trajectories, and evaluate model behavior.

You’ll collaborate with research engineers to translate evolving research questions into reliable, reusable systems and own tooling from design through ongoing operation.

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