Sr.AppliedScientist,AmazonMusic

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 As a Sr. Applied Scientist, you will - Help shape the scientific direction of the organization by proposing state of the art modeling approaches, driving experimentation, and balancing scientific rigor with execution speed to deliver measurable customer impact. - Think strategically about the future of GenAI and multimodal AI, identifying opportunities to transform music understanding, curation, and engagement. - Stay at the forefront of advancements in GenAI, recommendation systems, and large-scale machine learning, driving adoption of new techniques where they create meaningful customer value. - Collaborate closely with engineers across Music Intelligence, Personalization, Search and other partner teams to support long-term product and CX goals. - Mentor applied scientists and engineers while actively contributing to the broader science and ML community across Amazon Music. - Produce clear and concise technical documentation outlining methodologies, design decisions, trade-offs, experiment results, and customer impact. - Invent and scale innovative AI/ML solutions for complex music in