Staff Machine Learning Engineer

$96,900 - $234,300/Yr

Unclassified - San Jose, CA

posted 4 months ago

Full-time - Mid Level
San Jose, CA

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 solutions that include personalization, recommendation, and ranking of deals and promotions across our brands, 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 machine learning 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, personalizing product experiences, and optimizing the customer lifecycle on the platform. Additionally, you will design and deploy scalable generative AI solutions as part of the ecosystem, enhancing PayPal's ability to provide a seamless customer experience by collaborating closely with our engineering group and PayPal's Platforms organization. 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, influencing partners and customers with your insights and expertise. This position requires a strong background in machine learning and practical experience in building and implementing large-scale predictive models to solve business problems, helping to bring insights and identify additional opportunities from data and machine learning to market.

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 closely with engineering groups and PayPal's Platforms organization to enhance customer experience.
  • Communicate complex concepts and results of models 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 GCP/Hadoop and big data is an advantage.
  • Experience leading ML projects with a track record of delivering solutions efficiently.
  • Experience shipping real-time models is a big plus.
  • Fluent spoken and written English communication with business and engineering partners.

Nice-to-haves

  • Experience in any one of Recommendation, Ranking, Product and Marketing domains.
  • Experience shipping real-time models.

Benefits

  • Flexible work environment
  • Employee share options
  • Health insurance
  • Life insurance
  • Dental insurance
  • Vision insurance
  • Annual performance bonus
  • Equity compensation
  • Mental health resources
  • Wellness programs
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