<p><strong>What role you will play in team:</strong> You will be a key member of our team, contributing to the development and implementation of machine learning models for our search algorithms.  Your expertise will directly impact the user experience millions rely on daily.</p><p><strong>What you will do:</strong> You will design, develop, and deploy machine learning models to improve the accuracy and efficiency of our search engine. You will also collaborate with other engineers and scientists to develop new algorithms and techniques.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for search ranking and relevance.</li><li>Design and conduct experiments to evaluate the performance of machine learning models.</li><li>Collaborate with other engineers and scientists to develop new algorithms and techniques.</li><li>Write clear and concise documentation for your work.</li><li>Present your findings to stakeholders.</li><li>Stay up-to-date on the latest advances in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in computer science, statistics, or a related field.</li><li>Experience with machine learning algorithms such as linear regression, logistic regression, support vector machines, and neural networks.</li><li>Programming experience in Python or R.</li><li>Experience with big data technologies such as Hadoop and Spark.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</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><li>Work from home flexibility.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day might involve reviewing data, designing experiments, building models, and collaborating with colleagues. You'll also spend time writing code, debugging, and presenting your findings.</p>