We are looking for a highly-skilled Senior Machine Learning Engineer to lead the development and implementation of advanced technologies to push the boundaries of efficient training and inference for Deep Learning and Generative Artificial Intelligence (GenAI) models. As a machine learning engineer on the Amazon Music Search team, you will collaborate with scientists on developing and evaluating machine learning models (Search Relevancy & Ranking) using large datasets such as meta-data and search queries to improve the customer experience through better search results, or song sequencing. You will own scaling up successful prototypes and implementing a reliable automated production workflow for the model. You will collaborate with software development engineers to integrate the model with the customer experience.
Key job responsibilities
- Lead the vision and architecture for AI-powered solution across search stack
- Collaborate closely with the applied scientists and software engineers to bring research to production
- Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations
- Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organization
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 https://www.amazon.com/music.
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Master's degree in machine learning or equivalent
- Experience launching machine learning solutions in production
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