Machine Learning Engineer - Mapping
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Die Stelle
Design, train, and deploy machine learning models to automate the creation of high-definition maps.
Apply and advance state-of-the-art techniques, including Vision-Language Models and Generative AI, to enhance mapping automation.
Own the complete model development lifecycle—from data mining and processing to training, evaluation, validation, and productionization.
Collaborate with partner ML teams to translate cutting-edge research into scalable, reliable, production-grade solutions.
Own the end-to-end ML lifecycle across the mapping stack, with robust evaluation, monitoring, and deployment practices.
Ideal candidates have 4+ years of ML experience, strong computer vision and DL skills, and familiarity with GIS or mapping concepts.
Apply and advance state-of-the-art techniques, including Vision-Language Models and Generative AI, to enhance mapping automation.
Own the complete model development lifecycle—from data mining and processing to training, evaluation, validation, and productionization.
Collaborate with partner ML teams to translate cutting-edge research into scalable, reliable, production-grade solutions.
Own the end-to-end ML lifecycle across the mapping stack, with robust evaluation, monitoring, and deployment practices.
Ideal candidates have 4+ years of ML experience, strong computer vision and DL skills, and familiarity with GIS or mapping concepts.
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