Senior Machine Learning Engineer

24 hours ago


New York, New York, United States PayPal Full time

Job Title: Senior Machine Learning Engineer

Job Summary: PayPal is seeking a talented Senior Machine Learning Engineer to join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal.

Key Responsibilities:

  • Design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal.
  • Optimize the customer journey through personalized, thrilling experiences.
  • 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.
  • 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.

Requirements:

  • 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.
  • 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 leading ML projects and great track record delivering 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.


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