Research Scientist, Interpretability

Tech Stack

Responsibilities

• Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights.
• Design and run robust experiments, both quickly in toy scenarios and at scale in large models.
• Create and analyze new interpretability features and circuits to better understand how models work.
• Build infrastructure for running experiments and visualizing results.
• Work with colleagues to communicate results internally and publicly.

Benefits

• Equity
• Health Insurance
• Learning Budget
• Parental Leave
• Remote Work

Culture

Requirements