<p><b>What role you will play in team:</b> Design, develop, and deploy machine learning models to improve Amazon Music's recommendation system and personalize user experience.</p><p><b>What you will do:</b> Collaborate with data scientists and engineers to build and maintain high-performing ML models for music recommendation, playlist generation, etc.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models at scale.</li><li>Work with large datasets to improve model accuracy and efficiency.</li><li>Develop and maintain data pipelines.</li><li>Collaborate with cross-functional teams to integrate models into Amazon Music products.</li><li>Monitor model performance and identify areas for improvement.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD in Computer Science, Engineering, or a related field.</li><li>Experience with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Strong programming skills in Python.</li><li>Experience with cloud computing platforms such as AWS.</li><li>Experience with big data technologies such as Spark.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Work on cutting-edge technology.</li><li>Health insurance, paid time off, etc.</li></ul></p><p><b>A Day in the Life:</b> A day might involve developing and testing machine learning models, improving data pipelines, collaborating with other engineers, or monitoring model performance.</p>