Exa is building a search engine from scratch to serve every AI agent. We build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to process it, and design super high performant vector databases in rust to search over it. If you like compute, we also own a $5M H200 GPU cluster (and soon 5x'ing that) and regularly spin up batchjobs with tens of thousands of machines.

We recently raised an $85M Series B from Benchmark, and we are rapidly building the most intelligent search engine in history. We're high agency, low-ego, and united by the feeling that this is one of the last problems worth getting right.

Generalist Research Engineers work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms. The team is centered around improving end quality of search endpoints for customers.

Who You Are

- High attention to detail; simultaneously understand customer needs and implementation details of the system

- Great intellectual horsepower - generalists who are eager to go deep

- You're excited to work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms and more

- Comfortable working across different systems, and shipping fast

- You care about the problem of finding high quality information and recognize how important this is for the world

What You Could Do

- Design and ship a new parser that dramatically improves retrieval performance

- Improve throughput and latency of ML models

- Make our web crawler 3x faster

This is an in-person opportunity in San Francisco. We're happy to sponsor international candidates (e.g.,

Stem Opt

, OPT, H1B, O1, E3). In addition to premium healthcare benefits (medical, dental, vision), we also offer fertility benefits and a monthly wellness stipend to all of our employees.