Applied Scientist, ATS Machine Learning & Engineering
Job ID: 2738263 | Amazon EU SARL (Spain Branch)
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 exciting 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, integrate with a network of small and large carriers worldwide, manage business rules for millions of unique products, and improve 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 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 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 related field
Experience in building models for business applications
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python, or related language
Experience 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/Linux
Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit our accommodations page for more information.
Posted:
October 3, 2024 (Updated 25 days ago)
Posted:
October 8, 2024 (Updated 2 months ago)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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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 exciting 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, integrate with a network of small and large carriers worldwide, manage business rules for millions of unique products, and improve 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 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 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 related field
Experience in building models for business applications
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python, or related language
Experience 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/Linux
Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit our accommodations page for more information.
Posted:
October 3, 2024 (Updated 25 days ago)
Posted:
October 8, 2024 (Updated 2 months ago)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr
