Research Scientist (Interpretability)

• The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts
• 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

• Comprehensive health, dental, and vision insurance for you and your dependents

• Inclusive fertility benefits via Carrot Fertility

• 22 weeks of paid parental leave

• Flexible paid time off and absence policies

• Mental health support for you and your dependents

• Competitive salary and equity packages

• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant

• Retirement plans with competitive matching

• Life and income protection plans

• $500/month flexible wellness and time saver stipend

• Commuter benefits

• Annual education stipend

• Home office stipends

• Relocation support for those moving for Anthropic

• Daily meals and snacks in the office

• Are comfortable with messy experimental science. We’re inventing the field as we work, and the first textbook is years away

• Enjoy team science – working collaboratively to make big discoveries

• 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

• Have a strong track record of scientific research (in any field), and have done some work on Interpretability

• You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results

• Familiarity with Python is required for this role

• We require at least a Bachelor’s degree in a related field or equivalent experience