Applied Scientist III, Amazon Music Personalization

Key Skills

Java Programming, Python Programming, C++, SQL

Job Description

Job summary
Amazon Music reimagines music listening by enabling customers to unlock millions of songs and thousands of curated playlists and stations with their voice. Amazon Music provides unlimited access to new releases and classic hits across iOS and Android mobile devices, PC, Mac, Echo, and Alexa-enabled devices including Fire TV and more. With Amazon Music, Prime members have access to ad-free listening of 2 million songs at no additional cost to their membership. Listeners can also enjoy the premium subscription service, Amazon Music Unlimited, which provides access to more than 75 million songs and the latest new releases. Amazon Music Unlimited customers also now have access to the highest-quality listening experience available, with more than 75 million songs available in High Definition (HD), more than 7 million songs in Ultra HD, and a growing catalog of spatial audio. Customers also have free access to an ad-supported selection of top playlists and stations on Amazon Music. All Amazon Music tiers now offer a wide selection of podcasts at no additional cost, and live streaming in partnership with Twitch. Engaging with music and culture has never been more natural, simple, and fun. For more information, visit amazonmusic.com or download the Amazon Music app.

Key job responsibilities
Help us deliver meaningful recommendations, personalized for each of the millions of customer engaging with Amazon Music.

The Music Personalization team is responsible for the machine learning models that underly Amazon Music’s recommendations, playlists and stations. We own the development, training and serving of these models. We create personalized recommendation experiences such as You Might Like recommender, New Releases for You recommender and My Discovery Mix playlist.

A day in the life
As a Senior Applied Scientist, your work will have a real world impact on the millions of customers using Amazon Music. You will start with formulating product requirements into a scientific problem. You will work closely with engineering to realize your scientific vision.

About the team
Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.

BASIC QUALIFICATIONS

• PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

• Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
• 7+ years of practical experience applying ML to solve complex problems in an applied environment
• Significant peer-reviewed scientific contributions in premier journals and conferences
• Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis
• Experience with defining research and development practices in an applied environment
• Proven track record in technically leading and mentoring scientists
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts Amazon is committed to a diverse and inclusive workplace.