<p><strong>What role you will play in team:</strong> You'll be a key member of our team, designing and implementing cutting-edge machine learning solutions for our music recommendation engine.</p><p><strong>What you will do:</strong> You will work with large-scale datasets to improve our user experience by building and deploying high-impact machine learning models.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models for music recommendation.</li><li>Work with large-scale datasets using distributed computing frameworks such as Spark.</li><li>Develop and maintain data pipelines for model training and evaluation.</li><li>Collaborate with engineers and product managers to define requirements and prioritize tasks.</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><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Computer Science, Engineering, or a related field.</li><li>Experience with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Proficiency in Python or Java.</li><li>Experience with cloud computing platforms such as AWS.</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits.</li><li>Opportunities for career growth and development.</li><li>A collaborative and innovative work environment.</li><li>Health, dental, and vision insurance.</li><li>Generous paid time off.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day coding, experimenting with algorithms, collaborating with your team, and pushing the boundaries of machine learning in music.</p>