7 hours ago
Zürich, SwitzerlandSenior
Responsibilities
- Own the signals and decisions determining which pages are worth indexing, refreshing, following, deduplicating, or excluding.
- Develop and evaluate classifiers, rankers, and calibration methods for web-scale search decisions.
- Improve parsing coverage and demonstrate measurable impact on search quality.
- Model page quality, credibility, misinformation, and whether content is intended for readers or crawlers.
- Determine whether documents are semantically equivalent or meaningfully different for web deduplication.
- Collaborate across crawling, indexing, and retrieval teams to ensure signals produce end-to-end improvements.
Requirements
- Hands-on machine learning experience with classifiers, rankers, and calibration.
- Strong data instincts and the ability to work at web scale.
- Ability to own ambiguous problems without ground truth and define what the correct answer means.
- End-to-end product and search-impact orientation, with emphasis on measurable improvements.
- Ability and interest in collaborating across crawling, indexing, and retrieval teams.
- Interest in finding high-quality knowledge and improving access to information.
Categories
About Exa
Exa builds a web-scale search engine and API for AI agents and developer applications, combining its own crawler, embedding models, and high-performance vector search. It sells usage-based APIs and enterprise integrations that power retrieval-augmented generation, browsing, and automation on live web content. The company runs large crawling infrastructure and dedicated GPU clusters to continuously index and embed pages, and ships low-latency search components written in Rust.