Research Scientist, Interpretability
About the position 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 • Build infrastructure for running experiments and visualizing results • Work with colleagues to communicate results internally and publicly Requirements • Have a strong track record of scientific research (in any field), and have done some work on Interpretability • Enjoy team science - working collaboratively to make big discoveries • Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away • You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results • You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null • Familiarity with Python is required for this role Benefits • Competitive compensation • Generous vacation and parental leave • Flexible working hours • Lovely office space in which to collaborate with colleagues • Optional equity donation matching Apply tot his job