Senior Applied Scientist, Amazon Music - Search Science, Amazon Music – Search Science
Core
Define and execute the applied science roadmap for music search and content discovery systems, impacting millions of customers worldwide.
Role type
Senior Applied Scientist (Search Science)
Builds
Music search relevance, personalization, and retrieval performance systems
Domain
Music streaming, Search, Machine Learning, Foundation Models
Deliverable
production ML models
Required skills
Deep learning, LLMs, agentic workflows, search retrieval, ranking algorithms, large-scale vector search/embedding systems, distributed training and inference optimization, cloud infrastructure (AWS), Python, Java, C++, neural network architectures, model architecture design, production deployment, performance tuning, technical roadmap definition, architectural decision making, cross-functional leadership, mentoring, scientific process establishment, large-scale data analysis, offline model validation, online A/B experimentation, strategic whitepaper authoring, executive-level documentation
Preferred skills
Foundation models, large language models (LLMs), multi-modal architectures, large-scale distributed systems (Hadoop, Spark), modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy)
Responsibilities
Define and execute technical and scientific roadmap for music search systems; Lead design and implementation of state-of-the-art ML solutions for search, ranking, and intent-matching; Partner with product management and engineering leaders; Drive engineering and scientific excellence through design reviews and best practices; Establish robust scientific processes for large-scale data analysis and experimentation; Author strategic whitepapers and executive-level documentation
Seniority
Senior, hands-on IC with leadership responsibilities