Interested in building recommender systems and personalized experiences across multiple websites As a member of the Enterprise Personalization team you will help create and innovate on the next generation of Recommendation and Personalization technologies across multiple websites. Our team owns and creates recommendations and other personalization features for Amazons websites and enterprise businesses including Amazon IMDb Zappos ShopBop AbeBooks etc. We focus on recommending the right product to the customer at the right time using the latest machine learning techniques. You will be surrounded by thoughtleaders in the Personalization space who are patentleaders within Amazon.
In Personalization we use stateoftheart machine learning techniques and A/B testing to run experiments on some of Amazons most prominent and valuable pages. We work on a diverse range of products building realtime lowlatency recommendation and ranking systems as well as building algorithms for understanding customer behavior and generating recommendations content. As a member of the team you will work in a collaborative environment with a team of experienced engineers. You will have a unique opportunity to drive direct measurable impact to our customers powering features on multiple websites.
About our team: Our team has the autonomy to decide where we can have the most impact and get down to experimenting. We love metrics and the fast pace. We analyze data to uncover potential opportunities generate hypotheses and test them. We refuse to accept constraints internal or external and have a strong bias for action. We imagine build prototypes validate ideas and launch followup experiments from the successful ones.
About you: You are a software engineer with an interest in machine learning data science search or recommendation systems. You have great problem solving skills. You love keeping abreast of the latest technology and use it to help you innovate. You have strong leadership qualities great judgment clear communication skills and a track record of delivering great products. You enjoy working hard having fun and making history!
5 years of noninternship professional software development experience 5 years of programming with at least one software programming language experience 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience Experience as a mentor tech lead or leading an engineering team
5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience Bachelors degree in computer science or equivalent
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