Are you interested in recommendation systems that deliver the most enjoyable content to millions of customers? Do you want to invent new ways to seamlessly connect Kids and Parents through books, videos, apps, and more across a growing number of devices? If that sounds like you, then come join the Amazon Kids+ Personalization team!
Amazon Kids+ helps all kids safely learn, play, and communicate through content that kids and parents love including books, Audible books, movies, TV shows, educational apps and games, music, skills, and more. We provide peace of mind for parents with parental controls and a world of fun for kids to choose from thousands of the most popular titles and age-appropriate content. Kids+ is available as a child-friendly experience on Fire Tablets, Fire TV, Kindle e-readers, Android and iOS mobile devices, and Alexa devices. We have quickly gained critical acclaim and won the prestigious KAPi (Kids at Play Interactive) award for best hardware and service at CES 2013 and 2019. Learn more at http://www.amazon.com/kids.
With 1000's of great titles to choose from, our goal is to show each customer what they want to watch/read/play without them searching for it. We do this through features like "Apps & Games You Might Like", "Popular Movies & TV", and "Discover" to name a few. We use data to learn our customers' interests, develop Machine Learning models to make up-to-date personalized recommendations for each of them, and to measure the improvements that we make to their enjoyment. Leading by example, we drive experimentation across the organization, testing our hypotheses, making data-driven decisions, and iterating. We collaborate with our partners to turn great ideas for driving engagement into dynamic algorithms that scale to each customer. Architecture and performance are also vital to delivering continuously-improving recommendations to our customers with low latency and high reliability. If you are interested in influencing customer enjoyment for each of our millions of customers and working with a friendly team with high standards for quality and customer value, come join us!
You will own and drive engagement initiatives that apply to one or more of our supported devices and their customer bases, across the entire software lifecycle. This involves working closely with our scientists on analysis, designing and implementing a scalable solution for both accuracy and performance, and iterating based on experimentation. While we have tons of great projects already in mind, this is also a great opportunity to think big about how to improve the customer experience. Bring your ideas and let's test them out!
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Read Full Description