TomTom's MAPS POIs team invites a Master's student to contribute to data-driven ML solutions that enhance maps and POI products. You'll work on real-world, large-scale geospatial datasets, implement models, and design experiments under guidance of Applied Scientists and Engineers.
You will gain hands-on experience in production-scale geospatial data, ML experimentation cycles, and collaboration across scientists, engineers, and product managers.
#J-18808-Ljbffr
📌 Geospatial ML Intern: Build Production-Scale POI Models (Madrid)
🏢 TomTom
📍 Madrid