Radar
Radar is seeking a Machine Learning Engineer to design, build, and scale production ML infrastructure and models for its retail data platform. The role involves developing pipelines, optimizing feature engineering, ensuring model reliability, and collaborating across product, data science, and engineering teams.
Headquarters
New York, New York, United States
Company Size
51-200 employees
Founded
2016
Radar is a leading geolocation platform that offers a comprehensive suite of tools, including SDKs for geofencing and a robust Maps API, designed to help businesses engage customers, optimize operations, and enhance geocompliance. With its innovative Location OS, Radar empowers enterprises across various industries such as retail, logistics, and gaming to leverage accurate, real-time location data to drive decision-making and improve customer experiences. Additionally, the platform is built for scalability, handling billions of API calls daily with top-notch accuracy and reliability. Radar's commitment to fair and predictable pricing further distinguishes it in the competitive landscape of geolocation services.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Radar.
33% above the average for this role
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