Machine Learning Engineer II, Amazon Music - MusicIQ

Amazon Inc.; 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 Music is seeking a Machine Learning Engineer II to join the MusicIQ team in Seattle. You will advance scalable ML systems used in catalog serving and content intelligence, working with Applied Scientists and partner teams to deliver reliable, cost-efficient platforms for both offline processing and real-time experiences.

You will shape data pipelines, deploy models to production, and help enhance core ML infrastructure for tagging and similarity tasks.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience for complex systems.
• 1+ years with large-scale, multi-tiered, distributed software.
• 1+ years programming in at least one language.

Responsibilities

• Enhance ML infrastructure for tagging music content and improve similarity.
• Collaborate with researchers to deploy scalable ML models to production.
• Prototype new technologies and evaluate feasibility (AutoML, real-time serving).
• Design data pipelines for massive datasets and scalable ML models.
• Develop platforms for building, evaluating, and deploying ML models.

Skills

Software development experience

Object Oriented Design

Distributed systems

Design or architecture

Education

Bachelor's degree in CS/Engineering/Math

Tools

C#

C++

Java

Perl

Job description

Machine Learning Engineer II, Amazon Music - MusicIQ

Job ID: 10557456 | Amazon.com Services LLC

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 systems, data pipelines, and applied ML/AI, building platforms that power content intelligence, and catalog serving at Amazon scale.
You will partner closely with Applied Scientists, Product Managers, and partner engineering teams to deliver systems that are reliable, cost-efficient, and optimized for both offline processing and real-time customer experiences. Your work will focus on improving system scalability, data quality, and operational efficiency, while enabling faster iteration and integration of AI-driven capabilities across the catalog ecosystem.

• 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.

Basic Qualifications

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

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually