Applied Scientist, Amazon Music - DISCO, Music DISCO
Core
Lead research and development of models and science products powering personalized music recommendations and customer growth for Amazon Music.
Role type
Senior Applied Scientist (Music Product & Tech)
Builds
Personalized recommendation models, predictive models for acquisition/engagement/retention, and GenAI-based product features for Amazon Music.
Domain
Music streaming, entertainment, and consumer technology
Deliverable
production ML models
Required skills
Machine learning model design, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Deep learning architecture design, deep learning training and optimization, model pruning, statistical algorithms
Technologies
Java, C++, Python, GenAI
Responsibilities
Set science vision and direction for the team, lead large-scale science solutions, partner with product leaders to develop science-driven strategies, develop models to determine drivers of key performance metrics, evaluate impact of new features or algorithms, analyze experiment results to optimize solutions, write high-quality production code
Seniority
Senior, hands-on IC with strategic leadership
