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Active3w ago

Research Engineer, Content Understanding

Exa·📍 San Francisco, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

2+ years

Salary

$180K – $350K/yr

Role overview

Job description

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

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About this listing

  • Source: Exa's official careers site (via Ashby) · last confirmed on the source 27 Oct 2026
  • Posted 1 Oct 2026

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What they are looking for

Skills & requirements

Qualification

Desired Experience 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

Department · Research

Hiring company

Exa

Construction

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