Web-Scale ML Research Engineer (Signals & Ranking)

Exa; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Exa is seeking a research engineer to own the signals behind the ranking and decision processes that determine what gets indexed and retrieved. You will work across crawling, indexing, and retrieval systems to build end-to-end improvements in search quality.

Ideal candidates have hands-on ML experience with classifiers, rankers, and calibration at web scale and can define success in the absence of ground truth, aligning with Exa's mission to redefine search for the world.

Qualifications

• Define what the right answer means when ground truth is unavailable.
• Hands-on ML experience with classifiers, rankers, and calibration at web scale.
• Ability to think in end-to-end impact and measure improvements in search.

Responsibilities

• Own the signals behind ranking decisions and the decisions themselves.
• Collaborate across crawling, indexing, and retrieval teams to integrate your work.
• Develop models to assess page quality and credibility.
• Address what a page claims and its suitability for users versus a crawler.

Skills

Ground truth definition

Web-scale ML

Cross-team collaboration

Signal-driven decisions

Page quality modeling

Job description

Exa is seeking a research engineer to own the signals behind the ranking and decision processes that determine what gets indexed and retrieved. You will work across crawling, indexing, and retrieval systems to build end-to-end improvements in search quality.

Ideal candidates have hands-on ML experience with classifiers, rankers, and calibration at web scale and can define success in the absence of ground truth, aligning with Exa's mission to redefine search for the world.