Job Description
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.Key job responsibilitiesThe Amazon Music Catalog team is responsible for persisting, computing, reconciling and vending Music rights and metadata to other teams and services across Amazon. We process millions of updates per day and our services serve tens of thousands of requests per secs to all Amazon Music Customers. We own critical platforms that makes access to the Amazon Music Catalog highly available and accessible to every one.As an Applied Scientist, you will provide machine learning leadership to the team that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance customer experience.Come innovate with the Amazon Music team!A day in the lifeEveryone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.
