About Amazon Music:
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.
About Amazon Audio AI:
The long-term vision of Amazon Audio AI is to make audio experiences effortlessly engaging for all streaming audio customers. We need to understand why and when customers listen to different types of audio content (music, podcasts, audiobooks, live streams, etc.), and build our products to foresee and satisfy those needs. We need to transform our CX into a smart, emotionally intelligent (digital) agent helping customers find audio content using their own language – whether they are asking for a specific track or are willing to engage in a conversation. GenAI will play a key role in this transformation — by revolutionizing voice interactions, enabling sophisticated personalization, deepening fan experiences, and creating more intuitive customer journeys. This greenfield team incubates high-impact opportunities to innovate our CX with AI, to drive and deliver this transformation across our audio business. The team partners flexibly throughout the organization, incubates proof of concepts, and collaborates with partners in Alexa, AGI, AWS, Stores, and Entertainment. Areas of focus include Voice (Alexa+) and Visual product experiences (including personalization, recommendations, search, SLU, new GenAI-based features), Marketing (e.g., email, push), Social, and Productivity improvements – that have the highest potential impact from (Gen)AI, and cannot be easily solved by other techniques. As they incubate prototypes, the PE may rearchitect or optimize existing services, or design and build new (prototype) services.
We are seeking a visionary and seasoned technology leader to drive our investments in machine learning (ML) and artificial intelligence (AI). As a Principal Applied Scientist, you will report directly to the Director of Machine Learning at Amazon Music, and help architect our ML strategy, overseeing the design of our ML stack and ensuring the quality of our models. Your success in this role will depend on your deep expertise in search, personalization, discovery, AI/ML, Generative AI, and your passion for entertainment. This is a unique opportunity to influence the future of audio entertainment for millions of listeners worldwide. As a center of excellence in machine learning, this role will place you at the forefront of applying Generative AI at scale, using Amazon’s rich datasets. You will have a direct impact on shaping the future of audio exploration, driving massive customer experience improvements, and achieving critical business KPIs.
Key job responsibilities
Key job responsibilities
• As a technical leader, you will guide teams of scientists and engineers in translating complex business and functional requirements into tangible, high-impact deliverables.
• Drive innovation by applying advanced ML techniques in recommendation systems, search algorithms, and marketing optimization.
• Provide thought leadership and guidance to push the boundaries of what’s possible with Generative AI in entertainment.
• Represent Amazon Music at both internal and external scientific conferences, collaborating closely with teams across Amazon, including Retail, Prime Video, AGI, and AWS, to advance the state of AI/ML research and its applications.
• Build and nurture partnerships with academic institutions to ensure our teams have access to the latest research and mentoring opportunities.
