<p><b>What role you will play in team:</b> You will be a key member of our team, contributing to the development and implementation of machine learning models for our search algorithm. You will collaborate closely with engineers and product managers to translate business needs into technical solutions.</p><p><b>What you will do:</b> You will develop and deploy machine learning models, conduct A/B testing, and analyze the performance of models. You will also work with large datasets and contribute to the improvement of our data infrastructure.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for various business problems.</li><li>Conduct A/B testing and analyze model performance.</li><li>Work with large datasets and improve data infrastructure.</li><li>Collaborate with engineers and product managers.</li><li>Stay up-to-date with the latest advancements in machine learning.</li><li>Present findings and recommendations to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home option.</li><li>Flexible work hours.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves developing and testing machine learning models, collaborating with team members, analyzing data, and presenting findings. You will be challenged to solve complex problems and contribute to the improvement of Google's products.</p>