Personalized recommendations are key features for all Amazon tablets. We make personalized suggestions to our users to make sure they can find the contents that are suited for their own interests. Examples include:
* Our onboarding videos and content suggestions are personalized for each customer. * We suggest a set of videos, books, and apps for our users that are tailored for their specific interests as they use the tablet. * Our Kindle special offers and marketing campaigns are personalized.
The Fire tablet team is looking for talented applied scientists to work on the state of the art machine learning algorithms that empower our products to make the best set of suggestions. As an applied scientist, you will be working closely with our software and product team and develop new Machine Learning algorithms or improve our current algorithms that are part of our tablets' core software.
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