Being a Scientist at Amazon is one of the most exciting job opportunities today. There is no richer data environment for a Scientist to develop new models and algorithms that will positively impact over 200 million customers. Our team is comprised of technical leaders across the globe including Seattle, Berlin and Bengaluru. Machine learning and related quantitative sciences have been crucial in delivering value to Amazon customers since our early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. We believe in the long-term impact of researchers and applied scientists to all our businesses.

Academics at Amazon

Amazon has a flexible new program for professors which ranges from part-time to full-time research roles across multiple teams and domains at Amazon. Visit the Amazon Science website to hear from Amazon Scholars, such as Joan Feigenbaum from Yale, and Michael I. Jordan from UC Berkeley. Learn more about the Academics at Amazon program.

Publishing at Amazon

Amazon is committed to innovating at the frontiers of machine learning and artificial intelligence. Our scientists are encouraged to engage in the research community in the form of written publications, open source code and public datasets. We have instituted a new, fast-track publication approval process, to help share our research efforts as quickly as possible, while maintaining the highest standards of quality. 

Learn more about Amazon’s approach to customer-obsessed science on the Amazon Science website, which features the latest news and research from scientists across the company. It’s where you can find information about the conferences we sponsor, the institutions we collaborate with, our awards program, career opportunities, challenges, and more. For the latest updates, subscribe to the monthly newsletter, and follow Amazon Science on LinkedIn, Twitter, Facebook, Instagram, and YouTube.