DESCRIPTION
Are you interested in building state-of-the-art machine learning systems for the most complex and fastest growing transportation network in the world?
If so, Amazon has the most exciting challenges at this scale, including those in sustainability, such as how to reach net zero carbon by 2040.
Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing a 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, integrating with a network of small and large carriers worldwide, managing business rules for millions of unique products, and improving the experience of over hundreds of millions of online shoppers.
As part of this team, you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, impacting the future of the Amazon delivery network.
Current research and areas of work within our team include machine learning forecasting, uncertainty quantification, planning systems, model interpretability, and graph neural networks, among others.
We are looking for a Machine Learning Scientist with a strong academic background in the areas of machine learning, time series forecasting, and/or optimization.
At Amazon, we strive to continue being the most customer-centric company on earth.
To stay there and continue improving, we need exceptionally talented, bright, and driven people.
If you'd like to help us build the place to find and buy anything online and deliver in the most efficient and greenest way possible, this is your chance to make history.
About the team
The EU ATS Science and Technology (SnT) team owns scalable algorithms, models, and systems that improve customer experience in the middle-mile.
We work backwards from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable, and ecologically sustainable.
BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML, or a related fieldExperience in building models for business applicationsExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python, or a related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS Experience using Unix/LinuxExperience in professional software development
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We believe passionately that employing a diverse workforce is central to our success.
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We value your passion to discover, invent, simplify, and build.
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