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Researcher, Interpretability

OpenAI · San Francisco

CHECKED 35M AGO

Frontier labremote$380k–$500k
Apply on the lab’s site ↗

At a glance

Highlights

  • Study internal representations of deep learning models at scale.
  • Help ensure future powerful models remain safe as they grow.
  • Engineer infrastructure for studying model internals at scale.

What they offer

  • Equity

Ideal candidate

Curious, mission-driven researcher passionate about AI safety and understanding deep networks, energized by collaborative large-scale research toward safe AGI.

Requirements

  • Ph.D. or research experience in computer science, machine learning, or related field
  • Experience in AI safety, mechanistic interpretability, or related disciplines
  • 2+ years of research engineering experience and proficiency in Python or similar languages
  • Enthusiasm for long-term AI safety and technical paths to safe AGI
  • Thrive working with large-scale AI systems

Lab profile

About OpenAI

Builds safe frontier AI models and products like ChatGPT for broad benefit.

What they build

  • ChatGPT
  • OpenAI API
  • Frontier AI models

Known for

  • Frontier-scale distributed ML training
  • Massive GPU fleet and data center operations
  • Exabyte-scale data lakes and streaming
  • AI alignment and safety research

Key facts

  • Operates one of the world's largest GPU fleets
More about OpenAI →
Apply on the lab’s site ↗