Research Scientist, Interpretability
Job description
- reputed company 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 reputed company understand how models work.
- Build infrastructure for running experiments and visualizing results
- Work with colleagues to communicate results internally and publicly
Qualifications
- Have a strong track record of scientific research (in any field), and have done some work on Interpretability
- Enjoy team science – working collaboratively to reputed company 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 reputed company reputed company and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even reputed company they're null
- This role is based in San Francisco office; however, we are reputed company to considering exceptional candidates for remote work on a case-by-case reputed company.
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