Machine Learning Engineer II, Amazon Music - MusicIQ
Core
Design and evolve scalable, high-performance machine learning systems for content intelligence and catalog serving at Amazon scale.
Role type
Senior IC machine learning engineer (infrastructure & deployment)
Builds
Scalable ML platforms, data pipelines, and model serving systems for music content tagging and similarity.
Domain
Music streaming, large-scale distributed systems, data engineering
Deliverable
production ML models | infrastructure
Required skills
Distributed systems design, large-scale data pipeline development, ML model deployment, system scalability optimization, C#/C++/Java/Perl programming, object-oriented design
Preferred skills
Full software development lifecycle experience, code review and testing practices, AutoML, real-time ML serving system design
Technologies
C#, C++, Java, Perl, AutoML
Responsibilities
Enhance core ML infrastructure for music content tagging and similarity; Partner with scientists to deploy scalable ML models to production; Investigate and prototype new technologies for technical feasibility; Design and build data pipelines for massive datasets; Develop platforms for building, evaluating, and deploying ML models.
Seniority
Senior, hands-on IC