Machine Learning Engineer II — Scalable Music AI Platform

Amazon Music; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Machine Learning Engineer to join the MusicIQ team, shaping scalable ML systems powering content intelligence and catalog serving at Amazon scale.

You will partner with Applied Scientists, PMs, and engineers to deliver reliable, cost-efficient systems for offline and real-time experiences, focusing on scalability, data quality, and operational efficiency across the catalog ecosystem.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years designing or architecting large-scale systems.
• 1+ years of software development engineer or related experience.
• 1+ years of designing and developing large-scale distributed software applications, tools, or services.

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.
• Investigate design approaches and evaluate technologies like AutoML and real-time ML serving systems.
• Collaborate to design and build data pipelines for massive datasets and scalable ML models.
• Develop and maintain platforms and services for building, evaluating, and deploying ML models.

Skills

C#

C++

Java

Perl

OO Design

Education

Bachelor's degree in CS/Engineering/Math

Job description

Amazon.com Services LLC is seeking a Machine Learning Engineer to join the MusicIQ team, shaping scalable ML systems powering content intelligence and catalog serving at Amazon scale.

You will partner with Applied Scientists, PMs, and engineers to deliver reliable, cost-efficient systems for offline and real-time experiences, focusing on scalability, data quality, and operational efficiency across the catalog ecosystem.