<p><strong>What role you will play in team:</strong> Design, develop, and deploy machine learning models for improving music recommendation systems.</p><p><strong>What you will do:</strong> Work with large datasets to build, train, and evaluate models.  Collaborate with engineers and product managers.</p><p><strong>Key responsibility:</strong><ul><li>Design and implement machine learning algorithms for music recommendation.</li><li>Develop and maintain data pipelines for model training.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers and product managers to integrate models into production systems.</li><li>Stay up-to-date with the latest advances in machine learning.</li><li>Document and share knowledge with team members.</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 analytical and problem-solving skills.</li><li>Excellent communication and collaboration skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Work on cutting-edge technology.</li><li>Collaborative and innovative environment.</li><li>Health Insurance, Paid Time Off, Stock Options.</li></ul></p><p><strong>A Day in the Life:</strong>  A day might involve building and testing new models, optimizing existing ones, collaborating with other engineers, and reviewing code.</p>