Do you want to help build a highly personalized homepage that greets and is visible to millions of active customers worldwide? Are you interested in building data pipelines that process petabytes of customer behavior data? Do you love working with in a startup environment without the long hours associated with one?
The Homepage Personalization team works off a “two pizza team” model consisting of Machine Learning Scientists and back-end software engineers and builds and supports personalization and recommendations for Amazon’s customers across music, books, movies, fashion and everything else Amazon offers and we do this by analyzing petabytes of explicit feedback data on our hundreds of millions of customers on BILLIONS of products. On this team you will have the opportunity to:
•Mentor and be mentored by some of the world’s best Machine Learning Scientist and engineers
•Have access to the latest and greatest in Machine learning and big data technologies
•Work in an autonomous startup environment where you can build however you want to build.
We are looking for an experienced software engineer with at least 5+years of experience with a focus on data engineering to join our team. You will work closely with other software engineers and machine learning scientists to design and implement predictive, scalable models for everything from product recommendations to personalized mobile content layouts.
The Personalization team resides in Austin, Texas. Our city ranks #2 in U.S News and World Report’s 100 best places to live March 2016! Known as the world’s music capital of the world!
Why should you be interested:
•Very competitive compensation and benefits package (Base/Lucrative signon bonuses/Amazon stock)
•Excellent growth potential and advancement opportunities. (no glass ceilings here)
•Work on complex and challenging problems that directly impacts hundreds of millions of people and you being able to show off your contribution.
We offer a competitive compensation package (base+signon+stock) and a relocation package to those who need it.
We own Checkout Experience for all Retail Amazon web sites. Through Checkout, customers have the ability to select items, create and modify orders, and review current and prior order status. The team is responsible for maintaining and improving the end customer experience on all Amazon Retail Websites.