Search API for AI agents that need real-time web data, deep research, and structured content from one endpoint. Try our API for free. Backed by Lightspeed, Y Combinator and a16z.
About the role
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. As a backend engineer, you'd play a critical role in our search architecture. We're pretty flexible on what projects people work on based on their skills and interests. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Graduate-level ML experience (Master’s or PhD with at least 2 years of relevant experience), or an exceptionally strong undergrad
- You can build a transformer from scratch in PyTorch, and you have trained models that then had to be cheap enough to run everywhere
- You like building large-scale datasets and living in the data. Most of the wins here are in the supervision rather than the architecture
- You are comfortable with problems where the ground truth does not exist yet and defining it is part of the job
- You care about the problem of finding high quality knowledge and recognize how important this is for the world
More about this role
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.
As a backend engineer, you'd play a critical role in our search architecture. We're pretty flexible on what projects people work on based on their skills and interests.
Search quality is bounded by what we understand about a page. Before anything can be retrieved, something has to work out what the page actually says. That means parsing it into the parts that are content and the parts that are furniture, classifying what kind of page it is and what it is about, telling whether the page is usable at all, extracting when it was published, judging how good it...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area