PayPal is seeking to develop AI-driven solutions to shape the future of the company, specifically in personalization, recommendation, and ranking of deals and promotions across its brands and surfaces, to optimize the customer journey through personalized experiences.
Requirements
- Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 7+ yrs. of relevant industry experience or PhD with 6+ yrs. of relevant industry experience
- Experience in any one of Recommendation/Ranking, Personalization, Search or Ads a big plus
- 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 frameworks, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products, personalizing product experiences and Shopping Ranking and Recommendations.
- Design and deploy scalable generative AI solutions as part of the ecosystem.
- Design and deploy scalable 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.
- Shape Architecture and bring alignment across platform teams on MLOPs flows.
- Influence the Direction of team and bring state-of-the-art to Market
Other
- Masters degree or equivalent experience in a quantitative field with 7+ yrs. of relevant industry experience or PhD with 6+ yrs. of relevant industry experience
- Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insight
- 0- travel percent
- Must be able to work in a highly collaborative, cross-functional, values-driven environment and lead by collaboration
