Applied Scientist — Music Intelligence & ML Systems

Amazon; Seattle (WA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon Music is seeking an Applied Scientist to design and develop end-to-end systems for the MusicIQ catalog. You will own technical roadmaps and drive production‑level projects in collaboration with Amazon scientists and cross‑functional teams.

The role involves building and evaluating models on large, complex datasets; implementing scalable data pipelines and model serving; and translating results into actionable insights for technical and non‑technical audiences.

Qualifications

• PhD or Master\'s with CS/CE/ML focus and 4+ years of related experience.
• 3+ years building models for business applications.

Responsibilities

• Collaborate with scientists, engineers, and PMs to frame business problems as ML or optimization tasks.
• Build, train, and evaluate models on large, complex datasets.
• Implement scalable data pipelines and model-serving systems.
• Analyze experimental results, draw insights, and refine models to improve accuracy and robustness.
• Communicate findings to technical and non-technical audiences.
• Continuously learn and apply new algorithms to improve systems.

Skills

ML model development

Cross-functional collaboration

Communication skills

Education

PhD or Master's in CS/CE/ML

Tools

Java

C++

Python

Unix/Linux

Job description

Amazon Music is seeking an Applied Scientist to design and develop end-to-end systems for the MusicIQ catalog. You will own technical roadmaps and drive production‑level projects in collaboration with Amazon scientists and cross‑functional teams.

The role involves building and evaluating models on large, complex datasets; implementing scalable data pipelines and model serving; and translating results into actionable insights for technical and non‑technical audiences.