<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 Google's search algorithms.  Collaborate with cross-functional teams to deliver impactful results.</p><p><b>What you will do:</b>  Design, develop, and deploy machine learning models to improve search relevance and user experience. Conduct A/B testing and analysis to evaluate model performance.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using Python and TensorFlow.</li><li>Perform data analysis and feature engineering to improve model accuracy.</li><li>Conduct A/B testing and evaluate model performance using appropriate metrics.</li><li>Collaborate with engineers and product managers to integrate models into production systems.</li><li>Stay up-to-date with the latest advancements in machine learning.</li><li>Document and communicate technical findings to both technical and non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in Computer Science, Statistics, or a related field.</li><li>Proficiency in Python and experience with machine learning libraries such as TensorFlow, scikit-learn, and PyTorch.</li><li>Strong understanding of statistical modeling and machine learning algorithms.</li><li>Experience with big data processing frameworks such as Hadoop or Spark.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Work in a collaborative and innovative environment.</li><li>Flexible work arrangements.</li><li>Access to cutting-edge technology and resources.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves collaborating with team members on model development, conducting data analysis, and presenting findings to stakeholders. You'll be constantly learning and adapting to new challenges in the fast-paced world of machine learning.</p>