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.

Please note this position is a Fixed Term Contract role until September 2027.

• Key job responsibilities
• Work backwards from customer problems to research and develop novel machine learning solutions for music and podcast recommendations. Through A/B testing and online experiments done in tandem with engineering teams, you'll implement and validate your ideas and solutions.
• Advocate solutions and communicate results, insights and recommendations to stakeholders and partners.
• Produce innovative research on recommender systems that shapes the field and meets the high standards of peer-reviewed publications. You'll cement your team's reputation as thought leaders pioneering new recommenders.
• Stay current with advancements in the field, adapting latest in literature to build efficient and scalable models

A day in the life
You will lead innovation in AI/ML to shape Amazon Music experiences for millions. This role will involve developing state of the art models leveraging and advancing the latest developments in machine learning and AI, collaborating with with talented engineers and scientists to guide research and building scalable models across our audio portfolio - music, podcasts, live streaming, and more. You will drive experiments and rapid prototyping, leveraging Amazon's data at scale.

This is an opportunity to innovate daily alongside world-class teams to delight customers worldwide through personalization.

About the team
Our team works with modern AI technologies to transform how customers discover and engage with music and podcasts. We focus on the canonical customer understanding layer for personalization across Amazon audio experiences. We are the "who" experts - we know who the customer is, what they want, where they are in their journey, and how their preferences evolve over time. Amazon Music is available in countries around the world, and our solutions support our mission of delivering music and podcasts to customers in new, exciting ways that enhance their day-to-day lives.

Basic Qualifications

• Previous experience building models for business application
• PhD, or Master's degree in CS, CE, ML or equivalent relevant work experience
• Experience programming in Java, C++, Python or another modern programming language
• Experience in neural deep learning methods, machine learning or natural language processing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience with modeling and data analysis tools such as Pytorch, scikit-learn, pandas, numpy, scipy etc.

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.