Senior Machine Learning Scientist

$84,500 - $204,600/Yr

PayPal - New York, NY

Full-time - Mid Level

Hybrid - New York, NY

Credit Intermediation and Related Activities

About the position

PayPal is seeking a talented Machine Learning Scientist to join the Global Machine Learning team, focusing on the development of AI-driven solutions that enhance customer experiences across various platforms including PayPal, Venmo, and BrainTree. The role involves designing and implementing advanced machine learning models to optimize product recommendations and personalize user experiences, ultimately driving the customer journey through innovative solutions.

Responsibilities

• Develop and implement advanced ML models to solve critical business problems related to product recommendations and customer lifecycle optimization.
• Design and deploy scalable generative AI solutions as part of the ecosystem.
• Collaborate with engineering teams to enhance PayPal's customer experience through scalable ML/AI solutions.
• Communicate complex concepts and model results to both technical and non-technical audiences, influencing partners with insights.

Requirements

• Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 3+ years of relevant industry experience or PhD with 2+ years of relevant industry experience.
• Experience in Recommendation, Ranking, Product, and Marketing domains is a 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.
• Proven track record of leading ML projects and delivering solutions efficiently.
• Experience shipping real-time models is a plus.
• Fluent spoken and written English communication skills.

Nice-to-haves

• Experience in the Recommendation, Ranking, Product, and Marketing domains.
• Familiarity with big data technologies.

Benefits

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