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Machine Learning Engineer, Amazon Music Search
1 month ago
Key job responsibilities
- Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock, to provide a scalable production solutions to improve the customer experience, to label data, build, train, tune and deploy their models.
- Collaborate with our Applied scientists to create and fine tune scalable ML and Generative AI solutions for business problems.
- Interact with product stakeholders directly to understand the business problem, help and aid them in implementation of their ML ecosystem
- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.
- Work closely with science and engineering teams to drive model implementations and new algorithms.
About the team
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
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
PREFERRED QUALIFICATIONS
- 2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB, EC2 etc.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
