PayPal, Inc. seeks Machine Learning Engineer in San Jose, CA Job Duties: Design and build large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle. Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements, deliver innovative solutions, and ensure the availability, reliability, and scalability of ML Platform. Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, and drive successful project outcomes. Design and deploy scalable generative AI solutions and productize ML models that enhance PayPal's ability to provide a seamless customer experience. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices. Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform. Provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning with team members. Maintain proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to build enhanced capabilities. Partial telecommuting permitted from within a commutable distance.