Can Alexa help anyone experience the music they enjoy? Even if they don't know what they'd like to listen to in this moment? Or, if they know they want “Happy rock from the 90s”, can she help them find it? Your machine learning leadership skills can help make that a reality on the Amazon Music team. We are seeking a Senior Applied Science Manager to lead a team of experts in the field of machine learning to break new ground in the world of understanding and classifying different forms of music, and create interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where your team can pursue ambitious, long-term research, with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy their algorithmic ideas at scale, understand whether they succeed
· PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent); · 7+ years experience applying ML to solve complex problems for large-scale applications; · 5+ years experience managing Machine Learning Scientists; · Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives; · Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes; · Experience hiring and leading experienced scientists as well as a successful record of developing junior members from