Applied Scientist, Amazon Music - Catalog Quality

About the role

As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production.

What you'll do

• Own the design and development of end-to-end systems
• Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks
• Use machine learning, deep learning, LLMs and Agentic AI techniques to create scalable solutions for business problems
• Design, development and evaluation of AI models for predictive learning
• Research and implement novel machine learning and statistical approaches

What you need

• 4–7 yrs of experience
• Machine learning
• Python
• Data structures
• C++
• Java
• LLMs
• PhD or B.Tech or B.E.

Good to have

• Linux
• NLP
• Computer vision
• Deep learning
• ETL