PayPal
PayPal is hiring: Sr. UX Designer in Austin
PayPal, Austin, TX, United States, 78716
Job Description Summary:
PayPal is seeking a talented Staff Machine Learning Scientist to join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You will design and develop ML solutions including personalization, recommendation, and ranking of deals and promotions across our Brands and surfaces including BrainTree, Venmo, and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
Your day to day:
- Develop and implement advanced ML models, such as gradient boosted decision tree, graph neural networks, and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences including UI flows, and optimizing the lifecycle of the customers on the platform.
- Design and deploy scalable generative AI solutions as part of the ecosystem.
- Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.
- Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences, influencing partners and customers with your insights and expertise.
What do you need to bring:
- Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 5+ years of relevant industry experience or PhD with 4+ years of relevant industry experience.
- Experience in any one of Recommendation, Ranking, Product, and Marketing domains is a big plus.
- Proficient in programming languages such as Python and SQL.
- Familiarity with relevant machine learning frameworks and packages such as TensorFlow and PyTorch. GCP/Hadoop and big data experience is an advantage.
- Experience leading ML projects with a great track record of delivering solutions with attention to detail and efficiency.
- Experience shipping real-time models is a big plus.
- Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights.