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Overview

PayPal is seeking a talented Machine Learning Scientist to join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotions across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, engaging experiences. With a strong background in Machine Learning and practical experience in building and implementing large-scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.

Responsibilities

• 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 customers on the platform.
• Design and deploy scalable generative AI solutions as part of the ecosystem.
• Design and deploy scalable ML/AI solutions that enhance PayPal's ability to provide a seamless customer experience, by working closely with our engineering group and PayPal's Platforms organization.
• 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.

Qualifications

• 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 any one of Recommendation, Ranking, Product and Marketing domains a big plus
• Proficient in programming languages such as Python, SQL
• Familiarity with relevant machine learning frameworks and packages such as TensorFlow and PyTorch. GCP/Hadoop and big data experience – an advantage
• Experience leading ML projects and a strong 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

Compensation and Benefits

Actual compensation is based on factors including work location and relevant skills and experience. The total compensation for this role 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 $84,500 to $204,600. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office and 2 days remote.

Benefits and Inclusion

At PayPal, we offer benefits to help you thrive in every stage of life, including a flexible work environment, employee stock options, health and life insurance, and more. To learn more about our benefits please visit. PayPal is committed to fair and equitable compensation practices and equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, disability, race, religion, gender, pregnancy, sexual orientation, gender identity and/or expression, or any other characteristic protected by law. We provide reasonable accommodations for qualified individuals with disabilities.

Belonging at PayPal means creating a workplace where everyone can do their best work with a sense of purpose and belonging. We are proud to have a diverse workforce reflective of the communities we serve.

If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us for support.

REQ ID R0118714