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
• 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.
• Key job 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. 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
• [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. Amazon also offers comprehensive benefits
• including 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, and parental leave.
• Learn more about our benefits at https://amazon.jobs/en/benefits
• [https://amazon.jobs/en/benefits].
• USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually