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Research Engineer (Content Understanding)

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Onsite

Research Engineer (Content Understanding)

Exa

Research Engineer (Content Understanding)

Skills

PyTorchMachine Learning

2 days ago

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Important information


Contract type:

Permanent

Salary:

$180,000 – $350,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

22 October 2026

What they need


  • Example Projects:
  • Make parsing work on the pages where it currently does not, and prove the improvement rather than assert it
  • Teach a model to judge page quality, and get everyone to agree on what quality means well enough to supervise it
  • Work on credibility and misinformation as a modelling problem: what a page claims, whether it is a reliable source of it, and whether it was written for a reader or for a crawler
  • Decide whether two documents are semantically the same or genuinely different, so we can deduplicate the web without collapsing pages that a user would want to see separately
  • Build classification and extraction that is accurate at web scale and cheap enough to run on all of it
  • Design the supervision for something nobody has labels for, and find out whether it is learnable at all
  • Trace a bad search result back to the page-level prediction that caused it, and fix it at the source- You care about the problem of finding high quality knowledge and recognize how important this is for the world
  • 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 can build a transformer from scratch in PyTorch, and you have trained models that then had to be cheap enough to run everywhere
  • Graduate-level ML experience (Master’s or PhD with at least 2 years of relevant experience), or an exceptionally strong undergrad
  • You are comfortable with problems where the ground truth does not exist yet and defining it is part of the job

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