Applied Scientist I, Amazon Music Catalog

Requirements

• Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Experience programming in Java, C++, Python or related language
• Experience implementing algorithms using both toolkits and self-developed code
• Have publications at top-tier peer-reviewed conferences or journals
• Experience of using python libraries - pytorch, numpy, scipy, scikit.
• Experience in data analytics and building and maintaining scalable systems.
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
• USA, CA, San Francisco - 1

Additional Information

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 responsibilities The 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 life Everyone 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.

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