At Apple Maps, our mission is to build and maintain an accurate digital representation of the entire Globe. It is one of the most challenging large-scale problems in the world. We ingest a staggering amount of data and wish to discover new ways to use that data to improve the customer experience.
Maps POI ML Engineering team collaborates with the data science teams to productionize, scale and deploy machine learning models that improve the quality of Points of Interests data in Apple Maps. In this role, you would enjoy working in highly technical team, where everyone learns from each other's unique skills and knowledge. Your bias for action means you thrive in an environment where you can get things done. We encourage and respect critical thinking. Challenge yourself, challenge the data, challenge us.
The successful candidate will join our POI Machine Learning Engineering team. Were responsible for leveraging statistical models and machine learning to identify and fix data inconsistencies of our digital maps with the real world. You rigorously demonstrate coding best practices, while moving flexibly among technologies and programming languages. You will design and implement statistical and machine learning workflows on massive data. You will work cross-functionally to drive platform architecture and design, analyzing data, and producing insights. You will coordinate with data scientists to facilitate experimentation/prototyping.
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