Applied Scientist, ATS Machine Learning & Engineering

The EU ATS Science and Technology (SnT) team owns scalable algorithms, models and systems that improve customer experience in middlemile. We work backwards from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable. Are you interested in building stateoftheart machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and neverbeforeseen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon by 2040). Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from online checkout, to shipment planning, fulfillment, and delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers.

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