ML Engineer II – MusicIQ Platform

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 144,000 - 194,000; Full time

Job summary

Amazon Music seeks a Machine Learning Engineer II to shape scalable ML systems powering MusicIQ at Amazon scale. You will work at the intersection of large-scale distributed systems, data pipelines, and applied ML/AI, building platforms for content intelligence and catalog serving.

You will partner with Applied Scientists, PMs, and engineering teams to deliver reliable, cost-efficient systems optimized for offline and real-time experiences, driving data quality, scalability, and faster AI

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling).
• 1+ years of software development engineer or related occupational experience.
• 1+ years of designing and developing large-scale, multi-tiered, distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl.
• 1+ years 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 programming language

Responsibilities

• Enhance core ML infrastructure for tagging music content and improve music similarity capabilities.
• Partner with research scientists to deploy scalable ML models to production, improving model performance and architecture.
• Investigate design approaches, prototype new technologies, and evaluate their technical feasibility (e.g., AutoML, real-time ML serving systems).
• Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models.
• Develop and maintain platforms and services for building, evaluating, and deploying machine learning models used in real-world applications.

Skills

Distributed systems

Applied ML

C++

OOP design

Data pipelines

Multi-threaded software

Java

Education

Bachelor's degree in CS/Engineering/Math

Job description

Amazon Music seeks a Machine Learning Engineer II to shape scalable ML systems powering MusicIQ at Amazon scale. You will work at the intersection of large-scale distributed systems, data pipelines, and applied ML/AI, building platforms for content intelligence and catalog serving.

You will partner with Applied Scientists, PMs, and engineering teams to deliver reliable, cost-efficient systems optimized for offline and real-time experiences, driving data quality, scalability, and faster AI