Machine Learning Engineer II

The Machine Learning Engineer II role supports Amazon’s MusicIQ team by building and evolving scalable, high-performance machine learning systems used for content intelligence and catalog serving. The position emphasizes machine learning infrastructure, model deployment to production, data pipeline development, and support for offline and real-time customer experiences.

What You’ll Do

• Improve core machine learning infrastructure for tagging music content and enhance music similarity capabilities.
• Work with research scientists to deploy scalable machine learning models to production, with a focus on improving model performance and architecture.
• Explore alternative design approaches, prototype new technologies, and assess technical feasibility, including approaches such as AutoML and real-time machine learning serving systems.
• Partner with scientists to design and build data pipelines that process large datasets and scale machine learning models.
• Create and maintain platforms and services used to build, evaluate, and deploy machine learning models for real-world applications.

Required Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
• 1+ years of experience as a software development engineer or in a related occupation.
• 1+ years of experience designing and developing large-scale, multi-tiered, multi-threaded, embedded, or 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.
• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Bachelor’s degree in computer science or equivalent.

Relevant Technologies

• C#
• C++
• Java
• Perl

Compensation and Location

Location: Seattle, WA (onsite)

Salary: USD 143,700 - 194,400 per year

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• 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