Machine Learning Engineer II, Amazon Music - MusicIQ

What you'll do

• Enhance ML infrastructure for music tagging and similarity; deploy and improve production ML models with research scientists.
• Prototype and assess technical approaches, including AutoML and real-time ML serving systems.
• Build and maintain data pipelines and platforms for processing datasets and developing, evaluating, and deploying ML models.

What they ask for

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
• At least 1 year of experience developing large-scale software using C#, C++, Java, or Perl, and at least 1 year of Object Oriented Design experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software language.

Nice to have

• 3+ years of full software development life cycle experience.
• Bachelor's degree in computer science or equivalent.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

C#, C++, Java, Perl, AutoML

AI focus

Build and scale ML infrastructure, pipelines, and production models for music tagging, similarity, and catalog intelligence; evaluate AutoML and real-time ML serving.