ML Research Engineer @ Elicit

Elicit’s Pitch

Elicit is the AI research assistant. We use language models to help researchers figure out what’s true and make better decisions, starting with common research tasks like literature review.

What we’re aiming for:

• Elicit radically increases the amount of good reasoning in the world. For experts, Elicit pushes the frontier forward. For non-experts, Elicit makes good reasoning more affordable. People who don’t have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit.

• Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures.

Why Work Here

As an ML research engineer at Elicit, you will:

• Compose together tens to thousands of calls to language models to accomplish tasks that we can’t accomplish with a single call. (One way to learn what this is like and demonstrate how you’d think about this is to go through our Factored Cognition Primer, port it to more recent language models, and submit solutions for some of the exercises.)
• Curate datasets for finetuning models, e.g. for training models to extract policy conclusions from papers
• Set up evaluation metrics that tell us what changes to our models or training setup are improvements
• Scale up semantic search from a few thousand documents to 100k+ documents

Apply here