<p><b>What role you will play in team:</b> You will contribute to building and deploying machine learning models to combat fraud and enhance security.</p><p><b>What you will do:</b> Develop and deploy machine learning models to detect fraudulent transactions and improve PayPal's security systems.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and deploy machine learning models for fraud detection.</li><li>Work with large datasets to improve model accuracy and efficiency.</li><li>Develop and maintain data pipelines.</li><li>Collaborate with other engineers and data scientists.</li><li>Monitor model performance and make improvements as needed.</li><li>Stay up-to-date on the latest advancements in machine learning and security.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD in Computer Science, Engineering, or a related field.</li><li>Strong programming skills in Python.</li><li>Experience with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Experience with cloud computing platforms such as AWS or GCP.</li><li>Experience with big data technologies such as Spark or Hadoop.</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 on challenging and impactful projects.</li><li>Health insurance, paid time off, etc.</li></ul></p><p><b>A Day in the Life:</b>  A typical day could involve developing and testing machine learning models, working with large datasets, collaborating with other engineers, or monitoring model performance.</p>