Maps are no longer static. Our maps represent the ever-evolving world, accessing, aggregating, and adapting anonymous data from millions of sensors and phones in real-time. Mapbox has the exciting opportunity to power devices and products across the next frontier in location-based data, such as Internet of Things and AR/VR.Whether you’re watching the delivery of your grocery order on Instacart, looking at a gym on ClassPass, sending snaps on Snapchat, tracking your personal best on Strava, monitoring your gas budget on Metromile, or checking today’s forecast on The Weather Channel, Mapbox is the location and maps within those apps. We’re changing how people move by mapping the world in real-time. We are the developer platform for location.
What We Do
The Geodata team normalizes and conflates multiple data sources into consumable, high-quality data layers such as the road network, places of interest (POIs), buildings, places for internal and external customers. We ensure high-quality by first maintaining a standardized specification for all map layers that our internal customers like the Navigation, Maps and Search division rely on. These layers are maintained in a data warehouse, which is updated daily and preprocessed, filtered, conflated, and transformed into different formats for respective consumers. The Geodata team is at the core of building the AI map at Mapbox by integrating features extracted from road side or aerial imagery as well as data derivatives of the 225M miles of anonymized traffic data Mapbox receives per day. We are built on top of AWS. We use tools like Airflow for job orchestration and automate our tasks using Lambda, ECS and PySpark applications on Qubole. We store our data in S3 and are heavy users of Hive. We use Amazon Athena to provide and measure our operational and qualitative metrics. We never shy away from building our own internal tools to accelerate our workflows.
What You’ll Do
What We Believe are Important Traits for This Role
What We Value
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