PayPal Staff Machine Learning Engineer 

United States, California, San Jose 

954780891

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 andexpertise

What do you need to bring:

• degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 5+ yrs. of relevant industry experience or PhD with 4+ yrs. of relevant industry experience

• Experience in any one of Recommendation, Ranking, Product and Marketing domains a big plus

• Proficient in Programming languages such as Python, SQL.

• Familiarityinrelevant machine learning frameworks and packages such asTensorflowandPyTorch. GCP/Hadoop and big data experience – an advantage

• Experience leading ML projects and greattrack recorddelivering solutions with attention to detail and efficiency

• Experience shipping Realtime models a big plus

• Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights