Senior Applied Scientist - Music Search & AI

Amazon Inc.; Sunnyvale (CA); On-site; USD 192,000 - 260,000; Full time

Job summary

Amazon Music seeks an experienced Applied Scientist to join the Search Science team. You will work on ML, NLP, and music information retrieval at scale, tackling classification, recommender, and dialogue problems across Alexa, mobile, and web platforms.

Collaborate with software engineers to deploy models, run rigorous experiments, and publish results. You will access petabytes of data and influence how users discover music globally.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Use ML, DL, LLMs and Agentic AI techniques to create scalable solutions for business problems.
• Analyze and extract relevant information from large volumes of data to automate and optimize processes.
• Design, develop and evaluate AI models for predictive learning.
• Collaborate with software engineers to drive model implementations and new features.
• Establish scalable, automated data analyses, model development, validation and deployment.

Skills

ML models for business applications

Programming in Java/C++/Python

Deep learning methods

Education

PhD, or Master's with 6+ years of applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

numpy

scipy

Job description

Amazon Music seeks an experienced Applied Scientist to join the Search Science team. You will work on ML, NLP, and music information retrieval at scale, tackling classification, recommender, and dialogue problems across Alexa, mobile, and web platforms.

Collaborate with software engineers to deploy models, run rigorous experiments, and publish results. You will access petabytes of data and influence how users discover music globally.