Interpretability Researcher

Main mission

Understands the internal workings of models to make them interpretable and predictable.

5 key responsibilities

  • Develop methods to visualize and understand the internal representations of models.
  • Identify circuits and mechanisms responsible for given behaviors.
  • Build analysis tools usable by other teams.
  • Publish and confront results with the scientific community.
  • Translate discoveries into safety and product implications.

Key skills

Mechanistic interpretability, linear algebra, PyTorch, visualization, scientific method.

What's expected

Transform models from black boxes to analyzable systems: verifiable explanations, not intuitions.

Career paths

Interpretability Research Lead, Safety & Alignment Researcher, scientific leadership.

Openings right now

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