PayPal - San Jose, CA

posted 4 months ago

Full-time - Mid Level
San Jose, CA
Credit Intermediation and Related Activities

About the position

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. In this role, you will design and develop machine learning (ML) solutions that include personalization, recommendation, and ranking of deals and promotions across our brands and surfaces, including BrainTree, Venmo, and PayPal. Your primary goal will be to optimize the customer journey through personalized and engaging experiences. You will be responsible for developing and implementing advanced ML models, such as gradient boosted decision trees, graph neural networks, and deep learning models, to address critical business problems related to the recommendation of PayPal products. This includes personalizing product experiences, optimizing user interface flows, and enhancing the lifecycle of customers on the platform. Additionally, you will design and deploy scalable generative AI solutions as part of the ecosystem, working closely with our engineering group and PayPal's Platforms organization to ensure a seamless customer experience. A key aspect of your role will involve communicating complex concepts and the results of models and analyses to both technical and non-technical audiences. You will influence partners and customers with your insights and expertise, ensuring that the value of your work is understood across the organization.

Responsibilities

  • Develop and implement advanced ML models to solve critical business problems related to recommendation of PayPal products.
  • Personalize product experiences including UI flows and optimize the lifecycle of customers on the platform.
  • Design and deploy scalable generative AI solutions as part of the ecosystem.
  • Collaborate with engineering teams to enhance PayPal's ability to provide a seamless customer experience.
  • Communicate complex concepts and model results to both technical and non-technical audiences.

Requirements

  • 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 Recommendation, Ranking, Product, and Marketing domains is a big plus.
  • Proficient in programming languages such as Python and SQL.
  • Familiarity with machine learning frameworks and packages such as TensorFlow and PyTorch.
  • Experience with Google Cloud Platform/Hadoop and big data is an advantage.
  • Experience leading ML projects with a track record of delivering solutions efficiently and with attention to detail.
  • Experience shipping real-time models is a big plus.
  • Fluent spoken and written English communication skills to exchange requirements and explain methodologies.

Nice-to-haves

  • Experience in the financial technology sector.
  • Knowledge of customer journey optimization techniques.
  • Familiarity with agile development methodologies.

Benefits

  • Flexible work environment
  • Employee stock options
  • Health insurance
  • Life insurance
  • Dental insurance
  • Vision insurance
  • Annual performance bonus
  • Equity compensation
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