The Machine Learning Engineer will join the MusicIQ team to design and evolve scalable, high-performance machine learning systems. This role involves working with large-scale distributed systems, data pipelines, and applied ML/AI to enhance content intelligence and catalog serving at Amazon scale. The engineer will collaborate with Applied Scientists, Product Managers, and engineering teams to create reliable and cost-efficient systems. The focus will be on improving system scalability, data quality, and operational efficiency while integrating AI-driven capabilities.

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture experience of new and existing systems
• 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 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

• 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.
• Collaborate with scientists to design and build data pipelines for processing massive datasets.
• Develop and maintain platforms and services for building, evaluating, and deploying machine learning models.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.