Research Engineer, Content Understanding

The role

A research engineer will work on content understanding to improve search quality. This involves parsing web pages, classifying content, and addressing issues like credibility and misinformation.

What you will do

• Parse web pages into content and furniture
• Classify page types and topics
• Determine page usability, publication dates, and quality
• Judge page trustworthiness
• Identify unique information across pages
• Build classification and extraction at web scale
• Design supervision for unlabeled data
• Trace bad search results back to page-level predictions

Required qualifications

• Graduate-level ML experience (Master’s or PhD with at least 2 years of relevant experience), or an exceptionally strong undergrad
• Can build a transformer from scratch in PyTorch
• Have trained models that had to be cheap enough to run everywhere
• Like building large-scale datasets and living in the data
• Comfortable with problems where the ground truth does not exist yet

Nice to have

• Care about the problem of finding high quality knowledge

About the company

Exa is an applied AI lab building a search engine. They build massive-scale infra to crawl the web, train embedding models, and design vector databases.