Senior Staff Machine Learning Engineer

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Job Description Summary: PayPal is seeking a talented Senior Staff 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 will design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces. Your goal will be to optimize the customer journey through personalized experiences. Your day to day: 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 and personalizing product experiences. Design and deploy scalable generative AI solutions as part of the ecosystem. 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. Shape architecture and bring alignment across platform teams on MLOps flows. Influence the direction of the team and bring state-of-the-art solutions to market. What do you need to bring: 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 relevant 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 to exchange requirements, explain solution methodologies, and influence with insights. Additional Job Description: Subsidiary:

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0 PayPal is committed to fair and equitable compensation practices. Actual compensation is based on various factors including but not limited to work location, and relevant skills and experience. 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. The U.S. national annual pay range for this role is $107,300 to $259,600. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. We offer benefits to help you thrive in every stage of life, including a flexible work environment, employee share options, health and life insurance, and more. Who We Are: Click Here

to learn more about our culture and community. Commitment to Diversity and Inclusion: PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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