Amazons 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 developing recommender systems for Amazon subsidiaries and owned and operated properties such as IMDb, Audible, Zappos, Endless and others.
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. Every day, our goal is to surprise and delight our customers with relevant product recommendations.
Role
As a Software Development Engineer (SDE) on the Personalization Platform team, your responsibilities will include working with site owners to understand their discovery challenges and unique customer and catalog data. Youll 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. Additionally, youll stay up to date with the current state of the art in recommender research by reading academic papers and attending relevant university colloquia. The ability to deal with ambiguity and innovate and simplify are critical to this role.
Requirements:
BS in Computer Science or related technical field (MS a plus)
Minimum of 3 years industry experience as a software developer
Fluent in Java or C++
Strong Object Oriented design skills
Knowledge of scalable distributed systems and service oriented architecture
Experience in recommender systems, data mining, machine learning, or artificial intelligence in a commercial setting is desired, but not required
Ability to deal with ambiguity and innovate and simplify
Excellent written and oral communication skills
Excellent analytical skills
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Spanning academia, research and massive scale real world systems, the Personalization Platform team is responsible for developing recommender systems for Amazon subsidiaries and owned and operated properties such as IMDb, Audible, Zappos, Endless and others.
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. Every day, our goal is to surprise and delight our customers with relevant product recommendations.
Role
As a Software Development Engineer (SDE) on the Personalization Platform team, your responsibilities will include working with site owners to understand their discovery challenges and unique customer and catalog data. Youll 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. Additionally, youll stay up to date with the current state of the art in recommender research by reading academic papers and attending relevant university colloquia. The ability to deal with ambiguity and innovate and simplify are critical to this role.
Requirements:
BS in Computer Science or related technical field (MS a plus)
Minimum of 3 years industry experience as a software developer
Fluent in Java or C++
Strong Object Oriented design skills
Knowledge of scalable distributed systems and service oriented architecture
Experience in recommender systems, data mining, machine learning, or artificial intelligence in a commercial setting is desired, but not required
Ability to deal with ambiguity and innovate and simplify
Excellent written and oral communication skills
Excellent analytical skills
Source: Joel On Software