Applied Scientist, Amazon Music
Core
Design, train, and deploy machine learning models and algorithms to solve real-world business problems and power customer experiences at global scale.
Role type
Applied Scientist II (IC)
Builds
Scalable ML models, data pipelines, and model-serving systems for Amazon Music and broader business applications.
Domain
Machine Learning, Data Science, Optimization, NLP, Computer Vision
Deliverable
production ML models
Required skills
supervised and unsupervised learning, natural language processing, computer vision, optimization, algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Unix/Linux usage, professional software development
Technologies
Java, C++, Python, Unix/Linux
Responsibilities
Collaborate with scientists, engineers, and product managers to frame business problems as ML or optimization tasks; Build, train, and evaluate models using large, complex datasets; Implement scalable data pipelines and model-serving systems; Analyze experimental results, draw insights, and refine models to improve accuracy and robustness; Continuously learn and apply new algorithms and techniques to improve existing systems.
Seniority
Mid-level IC (3+ years experience)
