PayPal is seeking to optimize the customer journey through personalized, thrilling experiences by developing AI-driven solutions for personalization, recommendation, and ranking of deals and promotions across its brands.
Requirements
- Proficient in Programming languages such as Python, SQL.
- Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch.
- GCP/Hadoop and big data experience – an advantage
- Experience shipping Realtime models a big plus
Responsibilities
- Develop and implement advanced ML models, such as 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.
Other
- Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ yrs. of relevant industry experience or PhD with 2+ yrs. of relevant industry experience
- Experience in any one of Recommendation, Ranking, Product and Marketing domains a big plus
- Experience leading ML projects and great track record delivering solutions with attention to detail and efficiency
- Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights
- The US national annual pay range for this role is $137,500 to $236,500
