PayPal - San Jose, CA
posted 3 months ago
PayPal is seeking a talented Machine Learning Scientist to join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. In this role, you will design and develop machine learning solutions that include personalization, recommendation, and ranking of deals and promotions across our brands, including BrainTree, Venmo, and PayPal. Your primary goal will be to optimize the customer journey through personalized and engaging experiences. With a strong background in machine learning and practical experience in building and implementing large-scale predictive models, you will help bring insights and identify additional opportunities from data and machine learning to market. Your day-to-day responsibilities will include developing and implementing advanced machine learning models, such as gradient boosted decision trees, graph neural networks, and deep learning models, to solve critical business problems related to the recommendation of PayPal products. You will also work on personalizing product experiences, including user interface flows, and optimizing the lifecycle of customers on the platform. Additionally, you will design and deploy scalable generative AI solutions as part of the ecosystem, enhancing PayPal's ability to provide a seamless customer experience by collaborating closely with our engineering group and PayPal's Platforms organization. Effective communication is key in this role, as you will need to convey complex concepts and the results of models and analyses to both technical and non-technical audiences. Your insights and expertise will influence partners and customers, driving the adoption of your solutions. This position offers a unique opportunity to be at the forefront of machine learning innovation within a leading global payments platform.