Music ML Scientist: End-to-End Systems

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Seattle is seeking an Applied Scientist to own the design and development of end-to-end ML systems that power Amazon Music initiatives. You will create technical roadmaps and drive production-grade projects in collaboration with scientists, engineers, and product managers.

The role requires 3+ years building models for business applications, strong programming in Java/C++/Python, and experience with large datasets, data pipelines, and model serving.

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Collaborate with scientists, engineers, and product managers to define and 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.
• Communicate findings and recommendations to technical and non-technical audiences.
• Continuously learn and apply new algorithms and techniques to improve existing systems.

Skills

Java

C++

Python

Education

PhD or Master's in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Science in Seattle is seeking an Applied Scientist to own the design and development of end-to-end ML systems that power Amazon Music initiatives. You will create technical roadmaps and drive production-grade projects in collaboration with scientists, engineers, and product managers.

The role requires 3+ years building models for business applications, strong programming in Java/C++/Python, and experience with large datasets, data pipelines, and model serving.