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Machine Learning Engineer II, Amazon Music - MusicIQ

We are seeking a Machine Learning Engineer to join the MusicIQ team and drive the design and evolution of scalable, high-performance machine learning systems. In this role, you will work at the intersection of large-scale distributed system

Company

Amazon

Location

Seattle, Washington, USA

Status

Open

Posted

2026-09-23T00:00:00+00:00

Amazon Music's MusicIQ team seeks a Machine Learning Engineer II in Seattle to design and improve the machine learning systems behind music tagging and similarity. The work spans ML infrastructure, data pipelines over very large datasets, and deploying models to production alongside research scientists, with prototyping of approaches such as AutoML and real-time serving. Candidates need three or more years of professional software development, design or architecture experience, a bachelor's degree in a related field, and coding in C#, C++, Java or Perl. On-site, full-time.