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.
Key job responsibilities
- Work backwards from customer problems to develop novel machine learning solutions for music and podcast recommendations. Through A/B testing and online experiments you'll implement and validate your ideas and solutions.
- Advocate solutions and communicate results, insights and recommendations to stakeholders and partners.
- Collaborate closely with applied scientists on machine learning tasks ranging from ML code & data management to experimentation, training and deployment of ML models.
- Own the development and operationalization of solutions deployed in production.
- Collaborate with partner engineering teams to operationalize and scale training improvements across experimentation and production workloads.
A day in the life
Lead innovation in ML to shape Amazon Music experiences for millions. Collaborate with talented engineers and scientists to guide research and build
Lead innovation in ML to shape Amazon Music experiences for millions. Collaborate with talented engineers and scientists to guide research and build scalable models across our audio portfolio - music, audiobooks, podcasts, live streaming, and more. Drive experiments and rapid prototyping, leveraging Amazon's data at scale. Innovate daily alongside world-class teams to delight customers worldwide through personalization.
About the team
The team is responsible for models that underly all of Amazon Music’s recommendations across content types and algorithmic stations on mobile, web and Alexa. PRISM also owns data pipelines that generate training data and features and an approximate nearest neighbor service.
As a Machine Learning Engineer on the team, you will collaborate with product managers, applied scientists and engineers to deliver meaningful recommendations, personalized for each of the millions of customers using Amazon Music globally. You will be involved in every aspect of the development lifecycle, from idea generation to development and deployment of advanced models.
