Applied Scientist-II, Amazon Music - Search Science, Amazon Music – Search Science
Core
Design, develop, and deploy end-to-end machine learning systems to improve search retrieval accuracy, latency, and relevance for Amazon Music's audio content discovery.
Role type
Senior Applied Scientist (Search & Recommendation)
Builds
Production-grade ML models, scalable data pipelines, and model-serving systems for mobile, web, and voice-forward devices.
Domain
Music streaming, Search, Information Retrieval, NLP
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Large Language Models (LLMs), Information Retrieval, Natural Language Processing (NLP), Recommender Systems, Numerical Optimization, Python, Java, C++, Data Structures, Algorithms
Preferred skills
Distributed computing frameworks, Big data systems, Foundation models, Fine-tuning techniques, A/B experimentation design, Peer-reviewed publications
Technologies
Spark, Hadoop, AWS infrastructure, Unix/Linux
Responsibilities
Define and solve complex business and ranking problems as ML or optimization tasks; Design, build, train, and evaluate production-grade ML models; Take algorithms from research ideation to production deployment; Design and analyze large-scale A/B experiments; Research and implement novel statistical and ML approaches; Communicate technical roadmaps to stakeholders.
Seniority
Senior, hands-on IC