Research Engineer, Web-Scale ML & Ranking Signals

Exa; Zürich; Sur place; CHF 90 000 - 160 000; Plein temps

Résumé du poste

Exa is an applied AI lab building a search engine unlike the world has ever seen. We crawl the web, train state-of-the-art embedding models, and design high-performance vector databases to power next-generation search.

We are hiring a research engineer to own the signals behind ranking and retrieval decisions. You will work cross-functionally with teams across crawling, indexing and retrieval, define what 'good' means without ground truth, and prototype classifiers and calibrations that improve

Qualifications

• You own a problem with no ground truth and must define what the right answer means.
• Hands-on ML with classifiers, rankers and calibration, plus strong data instincts at web scale.
• You think in end-to-end impact; a signal only counts if it changes search quality.
• You like working across teams; crawling, indexing and retrieval all consume what you build.
• You care about the problem of finding high quality knowledge and its global importance.

Responsabilités

• Own the signals behind ranking and retrieval decisions.
• Collaborate with crawling, indexing and retrieval teams.
• Define meaningful metrics for signal quality.
• Prototype classifiers, rankers and calibration approaches.
• Translate high-level goals into actionable experiments.

Connaissances

Hands-on ML

Web-scale data instincts

End-to-end impact

Cross-team collaboration

Knowledge quality focus

Description du poste

Exa is an applied AI lab building a search engine unlike the world has ever seen. We crawl the web, train state-of-the-art embedding models, and design high-performance vector databases to power next-generation search.

We are hiring a research engineer to own the signals behind ranking and retrieval decisions. You will work cross-functionally with teams across crawling, indexing and retrieval, define what 'good' means without ground truth, and prototype classifiers and calibrations that improve