Amazon's product recommendations are among our most popular and best-loved features and help drive customer delight by recommending relevant, serendipitous products based on each customer's unique interests.
The Personalization Platform team is responsible for the entire personalization stack for Amazon's subsidiaries. Some of the interesting problems to solve include the collection of real-time behavioral data, developing new algorithms for item similarities and personalized recommendations, creating user interfaces related to personalization features and providing frameworks that enable personalization features to be adopted by Amazon's subsidiaries with minimal effort. We are actively researching areas that include mitigating the cold start problem, dealing with sparse data sets and making recommendations useful for content based sites, apparel, video games and replenishables.
Role
As a Software Development En! gineer (SDE) on the Personalization Platform team, you'll work across the breadth and depth of our personalization stack. This includes working on recommender systems as well as our large scale, high throughput behavioral data collection services and everything in between. Your responsibilities will include working with site owners to understand their discovery challenges and unique customer and catalog data. You'll prototype traditional and non-traditional approaches to developing recommender systems, ranging from statistical to machine learning techniques for content based recommenders, contextual based recommenders, user/item based collaborative filtering and hybrid recommenders. Then, you'll turn the most promising prototypes into real-world, scalable recommender systems capable of sifting through massive datasets in order to find products that will surprise and delight our customers - enabling them to discover products they didn't even know existed. For our behavioral ! data collection services, you'll investigate ways to extend th! ese services to meet new use cases, work to increase performance, and work to drive down their cost over time. You'll also stay up to date with the current state of the art by reading academic papers, attending relevant university colloquia and conferences.
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