About this role
Research Engineer, Index Intelligence is a full-time position based in San Francisco, California, suited for professionals with hands-on machine learning experience who want to manage indexing decisions for a large-scale search engine. This role involves building signals and models to determine which web pages are indexed and which should be omitted.
Role Overview
Exa seeks a Research Engineer, Index Intelligence in San Francisco, California, to take charge of the signals and decisions driving web indexing. The person in this position will handle problems lacking established ground truth and collaborate with crawling, indexing, and retrieval teams.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
The salary range for this position is $180K to $350K.
About the Company
Exa operates as an applied AI lab developing a search engine infrastructure to crawl the web, train embedding models, and utilize vector databases. The organization powers search features for over 400,000 developers, including Cursor, Cognition, and HubSpot, and is backed by funding from Lightspeed, Benchmark, and a16z.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Research Engineer, Index Intelligence role?
The position is located in San Francisco, California.
What is the salary range for this role?
The salary is between $180K and $350K.
What kind of machine learning experience is required?
The role requires hands-on machine learning experience with classifiers, rankers, and calibration, along with strong data instincts at web scale.
What are some of the example projects for this position?
Projects include teaching a model to judge page quality, working on credibility and misinformation modeling, deduplicating the web by comparing semantic document similarity, and improving page parsing.
How should candidates apply?
Candidates should apply on the official company careers page.