Job description

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. - 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 - 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 amazon.jobs 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 amazon.jobs . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

Requirements

Must-haves

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

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Keywords to mirror

machine learningmlaijava

Platform: amazon
Effort: medium

Benefits

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Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave