Join Amazon's Geospatial team to build sophisticated mapping solutions that power Amazon's delivery operations worldwide. This role focuses on creating digital representations of the world through advanced learning systems for identifying road networks, POIs, and geocodes. The team builds systems that go beyond traditional consumer mapping, providing detailed guidance for delivery operations including parking locations, building entrances, and internal navigation.
The position involves working with state-of-the-art ML platforms, including generative AI, and building systems that manage and process large amounts of geospatial data. You'll be responsible for developing low-latency, highly-available services and big data processing pipelines that directly impact delivery success and transporter experience.
The Geospatial organization covers Amazon Maps, time estimation, and navigation experience. This team specifically focuses on destination-related data, including parking locations, building entries, and delivery points. You'll work on systems that learn, ingest, rank, and vend location data, contributing to the successful delivery of millions of packages daily.
Key technical challenges include parsing structured and unstructured addresses globally, modeling building access in multi-unit structures, implementing optimal geofence systems, and creating location-aware delivery solutions. The role requires expertise in both software engineering and data science, with opportunities to work on ML models, conduct scientific experiments, and build scalable services.
This is an excellent opportunity for someone who combines technical depth with innovative thinking and wants to solve complex real-world problems in the logistics and mapping domain. The position offers the chance to work with cutting-edge technology while directly impacting Amazon's global delivery operations.