Software Development Engineer - Machine Learning & Data Mining | |
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Overview 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. Spanning academia, research and massive scale real world systems, the Personalization Platform team is responsible for the collection of real-time behavioral data as well as developing recommender systems for Amazon and its subsidiaries. Active research areas 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 Engineer (SDE) on the Personalization Platform team, you'll be assigned to work in one of two areas: recommender systems or large scale, high throughput behavioral collection data services. If you join the core recommender systems team, your responsibilities will include working with site owners to understand their discovery challenges and unique customer and catalog data. You'll apply 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 as well as hybrid recommenders. If you join the behavioral data collection service team, you'll work closely with internal teams that utilize this data service in order to understand their upcoming requirements and desired improvements. You'll continually investigate ways to extend the service to meet new use cases as well as drive down the cost of the service over time. Our data service is the largest, low latency distributed data service used at Amazon and it enables teams to deliver customer facing features that react to user behavior in real time. In both roles, you'll stay up to date with the current state of the art by reading academic papers, attending relevant university colloquia and conferences. Basic Qualifications
Preferred Qualifications
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