Sr. Staff Machine Learning Scientist

$107,300 - $259,600/Yr

PayPal - San Jose, CA

Full-time - Senior

Hybrid - San Jose, CA

Credit Intermediation and Related Activities

About the position

PayPal is seeking a Senior Staff Machine Learning Scientist to join its Global Machine Learning team. This role focuses on developing AI-driven solutions that enhance customer experiences through personalization, recommendation, and ranking of products. The position involves setting the technical direction for the team and building a next-generation shopping discovery recommendation engine, leveraging PayPal's extensive two-sided network.

Responsibilities

• Develop and implement advanced ML frameworks, such as graph neural networks and deep learning models, to solve critical business problems related to recommendation of PayPal products.
• Design and deploy scalable generative AI solutions as part of the ecosystem.
• Collaborate with engineering and platform teams to enhance PayPal's customer experience through AI solutions.
• Communicate complex concepts and model results to both technical and non-technical audiences, influencing partners and customers.
• Shape architecture and align MLOps flows across platform teams.
• Influence the direction of the team and bring state-of-the-art solutions to market.

Requirements

• Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 7+ years of relevant industry experience or PhD with 6+ years of relevant industry experience.
• Experience in Recommendation/Ranking, Personalization, Search or Ads 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; GCP/Hadoop and big data experience is an advantage.
• 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 real-time model deployment.
• Familiarity with big data technologies.

Benefits

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