At Exa, we're building a next-generation AI search engine—one that outperforms Google for power users. We help people find the information they can’t get anywhere else: https://exa.ai/websets

We're an SF team of ~20 from Harvard, MIT, Apple, Palantir, etc. We recently raised a Series A from Lightspeed + Nvidia, and we are rapidly building the most intelligent search engine in history.

Search is our interface to information. A search engine with new capabilities -- creativity, memory, analogy -- will change what we know and how we think.

We're looking for research scientists and research engineers to join our team. We have a lot of compute per capita and have a good shot at defining a future technology. If that sounds up your alley, here's what we're looking for:

• You have graduate level ML experience (or are an exceptionally strong undergrad)
• You have an eye for fundamental, novel architectures that can scale
• You're comfortable implementing your own ideas and creating large-scale datasets
• (Research engineer applicants only) You have a good understanding of performance optimization and distributed computing

Still apply even if you think you don't fit all the criteria—exceptionally good researchers often don't follow conventional paths.