Amazon
Applied Scientist, Music - Search Relevance
Amazon, Bellevue, Washington, us, 98009
Senior Applied Scientist, Music - Search Relevance Job ID: 2716412 | Amazon.com Services LLC
For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.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. Learn more at https://www.amazon.com/music.Amazon Music Search Relevance 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. 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 you can pursue applied 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 see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.Key job responsibilities
Use machine learning, deep learning, LLMs and NLP techniques to create scalable solutions for business problemsAnalyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processesDesign, development and evaluation of highly innovative models for predictive learningWork closely with software engineering teams to drive model implementations and new feature creationsEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationResearch and implement novel machine learning and statistical approachesA day in the life#J-18808-Ljbffr
For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.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. Learn more at https://www.amazon.com/music.Amazon Music Search Relevance 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. 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 you can pursue applied 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 see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web.Key job responsibilities
Use machine learning, deep learning, LLMs and NLP techniques to create scalable solutions for business problemsAnalyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processesDesign, development and evaluation of highly innovative models for predictive learningWork closely with software engineering teams to drive model implementations and new feature creationsEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationResearch and implement novel machine learning and statistical approachesA day in the life#J-18808-Ljbffr