The Maps Places Data team uses a variety of spatiotemporal signals to improve and maintain the quality of all Places of Interest in the global maps database. We're looking for an ML engineer with the curiosity and expertise to create the next generation of algorithms and processes to solve these challenging problems. Our team is responsible for the accuracy of a variety of attributes for the Points of Interest in the map database. We produce algorithms and processes that can operate globally, leveraging all available signals from aerial imagery to users' feedback.
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Industry
Computer and Electronic Product Manufacturing
Number of Employees
5,001-10,000 employees