Machine Learning Engineer, Amazon Music - Catalog Quality

About this role

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Skills you'll use

What you'll do

• - Design, build, and operate scalable machine learning pipelines and online serving systems
• - Work closely with applied scientists to optimize ML model performance and implement end-to-end solutions from experimentation through production
• - Drive technology choices and continuous innovation for ML infrastructure across the sponsored products organization
• - Collaborate with product managers, scientists, and engineers to deliver the right product for customers
• - Build and maintain strong relationships across partner disciplines (Product, Science and Engg) to ensure customer-focused delivery
• - Contribute to operational excellence - monitoring, troubleshooting, and supporting high-volume, low-latency systems

Who can apply

• - 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
• - Experience working with PyTorch or JAX software
• - 2+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience

About Amazon

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