Applied Scientist, Amazon Music - Search Science
Core
Build scalable machine learning solutions for music classification, recommender systems, and dialogue to help users discover music on Amazon Music platforms.
Role type
Applied Scientist (Search Science)
Builds
Music classification models, recommender systems, and interactive discovery experiences for Amazon Music.
Domain
Music streaming, Search Science, Machine Learning
Deliverable
production ML models
Required skills
Machine learning, deep learning, LLMs, Agentic AI, predictive learning, algorithms and data structures, numerical optimization, parallel and distributed computing, high-performance computing
Preferred skills
Unix/Linux, professional software development, patents or publications at top-tier conferences
Technologies
Java, C++, Python
Responsibilities
Design and evaluate AI models for predictive learning; implement novel ML and statistical approaches; collaborate with engineering teams to drive model implementations; establish automated processes for large-scale data analysis and model validation.
Seniority
Senior, hands-on IC