About this role
Exa has a vacancy for the role of Research, Evals in San Francisco, California. This is a full-time position. The listing was posted on Oct 15, 2025. PakkiNaukri collects this listing from the employer's own posting and re-checks it — the employer's full description and the application itself are on the original listing, linked from this page.
From the employer's listing (short excerpt)
Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z.
Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you.
RESEARCH AT EXA
The ML organization sits at the heart of our mission. We train foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Basically, put the web into an extremely powerful database.
And to do that well, we need to measure what “good search” actually means. That’s where you come in.
We're looking for an ML evals engineer to design and build our eval stack at Exa.