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PayPal Director Machine Learning 
United States, California, San Jose 
618789282

27.03.2025

Job Description:

Your day to day:

  • Lead the team in charge of Development of Recommender Systems leveraging cutting edge AI/ML techniques, such as graph neural networks and deep learning models.
  • Define an end-to-end vision for domain, including Signal Collection, Consumer Embedding, Product and Merchant Embeddings and retrieval/ranking pipelines.
  • Leverage GenAI tools such as ChatGPT, Gemini and Llamma to accelerate development of recommendation models.
  • Act as a thought leader, staying on top of the latest advancements in Generative AI and integrating innovative technologies into our systems to maintain a competitive edge.
  • Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership
  • Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences. Influencing partners including product stakeholders.
  • Work in close partnership with our engineering group and PayPal's Platforms organization and drive the adoption of ML/AI solutions throughout the organization.
  • Grow and scale a team of top-performing talent

This position is hybrid and requires in-office presence about 3 days a week in our San Jose, CA Headquarters.

What do you need to bring:

  • Strong background in Machine Learning with practical experience in building and implementing large-scale predictive models and recommendation systems.
  • Strengths in Deep Learning, Machine Learning, Recommendation systems, Generative models, and Statistical Analyses.
  • Preferred to have industry expertise in e-commerce recommendations, Ads relevance or other related applications.
  • Excellent communication and collaboration skills with the ability to influence partners and customers with your insights and expertise.
  • Ability to groom senior ICs and Junior Managers.
  • Advanced degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields.
  • 8+ years of machine learning and AI industry experience.
  • 5+ years of experience managing teams of machine learning engineers, modelers, and/or data scientists.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national annual pay range for this role is

$120300 to $287100


Our Benefits:

Any general requests for consideration of your skills, please