Amazon
Sr. Applied Scientist, Amazon Music - Search Science
$192K–$260K
Sunnyvale, CA · Senior · Full-time · Posted Jun 23, 2026
- Experience
- 3+ years building machine learning models for business applications; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree.
About the job
Develop and deploy machine-learning systems for Amazon Music search, classification, recommendations, and interactive music discovery experiences.
What you'll do
- Build, evaluate, and implement scalable AI models and novel machine-learning and statistical approaches.
- Analyze large datasets and establish automated processes for data analysis, model development, validation, and implementation.
- Collaborate with software engineering teams to deliver model implementations and new product features.
What they ask for
- 3+ years of experience building machine learning models for business applications.
- PhD, or a Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
USD 192,200.00 - 260,000.00 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Applies machine learning, deep learning, LLMs, and Agentic AI to music classification, recommender systems, dialogue, NLP, music information retrieval, and predictive learning.
Model-written summary · the original posting is authoritative