Research Engineer, Content Understanding — Scale Web Knowledge

Exa; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Exa is an applied AI lab building a groundbreaking search engine and massive-scale infrastructure. We are seeking a backend engineer with strong ML background to advance parsing, page quality assessment, and credible content modeling at scale.

You will work on transformer-based models, supervision signals, and data-driven evaluation to push the boundaries of web understanding across languages and domains.

Qualifications

• Graduate-level ML experience with strong research or applied results.
• Experience building transformer models and evaluating them at scale.
• Comfort with datasets and supervision-focused improvements.
• Ability to define problems where ground truth is not yet established.
• Interest in enabling knowledge discovery and credible results.

Responsibilities

• Develop and improve parsing to handle pages where it currently fails.
• Train and supervise models to judge page quality and authority.
• Tackle credibility and misinformation as a modeling problem.
• Compare document semantics to prevent deduplication of useful pages.
• Create scalable classification and extraction that runs at web scale.
• Design supervision signals for tasks lacking labeled data.

Skills

ML experience

Transformer models

Large-scale data

Ground-truth formulation

Knowledge extraction

Education

Master's degree or PhD in ML/CS

Tools

PyTorch

Job description

Exa is an applied AI lab building a groundbreaking search engine and massive-scale infrastructure. We are seeking a backend engineer with strong ML background to advance parsing, page quality assessment, and credible content modeling at scale.

You will work on transformer-based models, supervision signals, and data-driven evaluation to push the boundaries of web understanding across languages and domains.