Exa
Research Engineer, Content Understanding
$180K–$350K
San Francisco, California · On-site · Full-time · Posted Oct 1, 2026
- Experience
- Graduate-level ML experience: Master’s or PhD with at least 2 years of relevant experience; alternatively, an exceptionally strong undergrad.
- Education
- Master’s or PhD, or an exceptionally strong undergrad.
About the job
Develop machine-learning systems that understand web pages to improve search quality, including parsing, classification, quality and credibility assessment, extraction, and deduplication.
What you'll do
- Build and evaluate page-parsing, classification, and information-extraction systems at web scale.
- Develop models and supervision for page quality, credibility, misinformation, and semantic deduplication.
- Trace poor search results to page-level predictions and improve the underlying systems.
What they ask for
- Build transformers from scratch in PyTorch.
- Have trained models that were made inexpensive enough to run widely.
- Be comfortable defining ground truth for problems where it does not yet exist.
- Care about finding high-quality knowledge.
Pay
$180K – $350K (base salary)
Tools
PyTorch
AI focus
Build and train machine-learning models for web-page understanding, quality and credibility assessment, misinformation, and search.
Model-written summary · the original posting is authoritative