Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. A day in the life Imagine being a part of an agile team where your ideas have the potential toreach millions. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web. Key job responsibilities You'll work in a collaborative environment where you 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 your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll work in a collaborative environment where you 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 your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. Amazon Music Search Platform - Science & Modeling team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. 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. 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 provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.Īmazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of (AMZN), Earth's most customer-centric company one of the world's leading internet companies. We are looking for innovators who can contribute to advancing search technology on what’s scientifically possible while remaining committed to creating world-class products. Your responsibilities will include everything from developing and prototyping innovative retrieval systems with NLP and Transformer, query planning, deep learning to operating and optimizing a scalable distributed inference solutions in a production environment. We’re seeking an Applied Scientist with a deep expertise in matching and ranking systems. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. The Amazon Search team creates powerful, customer-focused search solutions and technologies.
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