Research Scientist, Interpretability

The shape of it

In the posting’s own words

When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"

What it asks for · 5

• 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

What the job covers

• 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

Tools and skills named

Words the posting leans on

• models14×
• interpretability10×
• results9×
• circuits7×
• experiments6×
• build5×
• engineering5×
• research5×
• science5×
• understanding5×
• design4×
• features4×
• field4×
• learned4×
• neural networks4×
• run4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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