<p><strong>What role you will play in team:</strong> You will be a key member of our team, contributing to the development and improvement of our music recommendation algorithms. Your work will directly impact the user experience and drive engagement.</p><p><strong>What you will do:</strong> You will design, develop, and deploy machine learning models to solve complex problems. You will collaborate with other engineers and scientists to build and maintain our data infrastructure.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for music recommendation.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Build and maintain data pipelines.</li><li>Collaborate with other engineers and scientists.</li><li>Present findings and recommendations to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in data science, statistics, or a related field.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Proficiency in Python or R.</li><li>Experience with big data technologies (e.g., Spark, Hadoop).</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li><li>The chance to work on cutting-edge technology.</li></ul></p><p><strong>A Day in the Life:</strong> You'll start by reviewing the latest model performance metrics and identifying areas for improvement. Then, you'll work on developing and testing new algorithms. Finally, you'll collaborate with your team to deploy the updated models.</p>