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Toward understanding privileged features distillation in learning-to-rank - Amazon Science
In learning-to-rank problems, a privileged feature is one that is available during model training, but not available at test time. Such features naturally arise in merchandised recommendation systems; for instance, “user clicked this item” as a feature is predictive of “user purchased this item” in…
News and features - Amazon Science
Discover the latest news about scientific innovation at Amazon. Find articles from scientists and researchers about artificial intelligence, machine learning, and more.
Search & Information Retrieval | Research Areas - Amazon Science
Developing advanced techniques to analyze behavioral patterns, lexical matches, and semantic matches to surface the most relevant recommendations in response to your queries.
Awards and recognitions - Amazon Science
Learn about the ways Amazon’s scientists and researchers are being recognized around the world.
Alexa Prize - Amazon Science
The Alexa Prize is a series of competitions for university students dedicated to accelerating the field of artificial intelligence. Participating teams will advance several areas of AI through generalizable methodologies such as continuous learning, teachable AI, multimodal understanding, and reasoning.Through the innovative work of students, Amazon Alexa customers will have novel, engaging interactions. And, the immediate feedback from these customers will help students improve their algorithms much faste
Amazon SURE - Amazon Science
The Amazon Summer Undergraduate Research Experience (SURE) aims to increase diversity in science and engineering fields by providing students from historically underrepresented communities with a unique summer research experience at a top-tier university. For more information, please visit our frequently asked questions section.
Amazon Research Awards (ARA) - Amazon Science
Amazon Research Awards was founded in 2015 and merged with AWS Machine Learning Research Awards (MLRA) in 2020. The ARA program oﬀers unrestricted cash awards and AWS Promotional Credits to fund research at academic institutions and non-profit organizations in areas that align with our mission to advance customer-obsessed science.
Academics at Amazon
We hire world-class academics as Amazon Scholars and Amazon Visiting Academics to work on large-scale technical challenges, while they continue to teach and conduct research at their universities. Learn more about our programs, and how to apply.
Working at Amazon - Amazon Science
Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds in artificial intelligence and related fields.
Internships - Amazon Science
Amazon offers internships year round, and projects will depend on a student’s area of research and interest, as well as the team they're placed. View our available internships.
Careers - Amazon Science
See the latest jobs and career opportunities in science at Amazon. Advance the state of the art in customer-obsessed science.
Sustainability | Research Areas - Amazon Science
Taking a broad, science-based approach to reach net zero carbon by 2040.
Collaborations - Amazon Science
Whether you’re a faculty member, student, developer, thought leader or a policy maker, Amazon offers a number of ways for you to engage with the company’s science community.
Conferences - Amazon Science
Amazon scientists are active in conferences and events worldwide, where they contribute and learn from the latest research, as well as engage with the global science community.
Security, Privacy & Abuse Prevention | Research Areas - Amazon Science
Creating a secure suite of hardware, software, and services with privacy, while giving you control over your information.
Blog - Amazon Science
Get the latest news and research from Amazon scientists. Read
Learning geospatially aware place embeddings via weak supervision - Amazon Science
Understanding and representing real-world places (physical locations where drivers can deliver packages) is key to successfully and efficiently delivering packages to customer’s doorstep. Prerequisite to this is the task of capturing similarity and relatedness between places. Intuitively, places…
Automated Reasoning | Research Areas - Amazon Science
Focusing on the automation of formal logical reasoning to raise the bar on the security, durability, availability, and quality of Amazon’s products and services.
Information & Knowledge Management | Research Areas - Amazon Science
Developing machine learning techniques to enrich product-related information from Amazon detail pages and the Internet at large.
Quantum Technologies | Research Areas - Amazon Science
By harnessing the laws of quantum physics, quantum computers have the potential to solve problems that are beyond the reach of today's computers.
Research areas - Amazon Science
Science at Amazon enables new customer experiences and addresses existing customer challenges whenever there is limited or no existing prior art. It complements the company’s engineering and product disciplines, and is critical to all Amazon businesses focused on delivering increased customer value.
Economics | Research Areas - Amazon Science
Developing sophisticated approaches and systems to deliver the broadest selection of products and services at the lowest prices.
Machine Learning | Research Areas - Amazon Science
Developing algorithms and statistical models that computer systems use to perform tasks without explicit instructions, relying on patterns and inference instead.
Master’s student uses SURE opportunity to explore impact of machine learning - Amazon Science
The alumna of the 2021 Columbia SURE Amazon cohort becomes the first Amazon MS Fellow at Columbia.
ICML: Where causality meets machine learning - Amazon Science
Amazon’s Dominik Janzing on the history and promise of the young field of causal machine learning.