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Sr. Machine Learning Engineer (Eats Logistics)

Uber Corporate

This is a Full-time position in New York, NY posted April 29, 2021.

Whether it’s a sandwich, a burrito, or groceries, the Uber Eats team builds technology to connect people with what they want, when and where they want it. Uber Eats is home to a team of mobile and backend engineers tasked with creating an app to fuel our three-sided marketplace of eaters, delivery-partners, and restaurants. From making it easier to discover your ideal meal to designing dynamic UIs, our iOS and Android engineers keep the app healthy and users hungry for more. About the Role Logistics enables the end-to-end Eats flow from the moment when an eater starts eyeballing the menu till the time when the order is handed over to the Eater. This team owns timeliness prediction, matching and fulfillment platform as well as custom-facing dispatch paradigms and experiences. What You’ll Do Translate real world problems into standard machine learning models. Develop high quality and scalable classification, regression or deep learning models. Develop scalable, reliable distributed systems. Basic Qualifications 3+ years of non-internship Machine Learning experience, or Artificial Intelligence 5+total years of non-internship relevant work or educational experience in software development, server architecture and distributed systems. Preferred Qualifications Experience or educational background in any of the following is a plus Deep Learning, Data Mining, Statistics, Mathematical optimizations, Microeconomics.