Machine Learning Engineer, Amazon Music - Catalog Quality

- 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 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 - 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 PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.