
Senior Staff Machine Learning Scientist
- San Jose, CA
- Permanent
- Full-time
PayPal is seeking a talented Senior Staff Machine Learning Scientist 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 promotion across our Brands and surfaces. Your goal will be to optimize the customer journey through personalized, thrilling experiences. You will be setting technical direction of team and will be building and defining the next generation shopping discovery recommendation engine leveraging the power of PayPal’s two-sided network.
To be successful the candidate needs to excel in a highly collaborative, cross-functional, values-driven environment and lead by collaboration. You need to understand the power of AI and have experience leading strategic AI initiatives for consumer experiences.Job Description:Job DescriptionYour day to dayDevelop 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, personalizing product experiences and Shopping Ranking and Recommendations.Design and deploy scalable generative AI solutions as part of the ecosystem.Design and deploy scalable 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.Shape Architecture and bring alignment across platform teams on MLOPs flows.Influence the Direction of team and bring state-of-the-art to MarketWhat do you need to bring:Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 7+ yrs. of relevant industry experience or PhD with 6+ yrs. of relevant industry experienceExperience in any one of Recommendation/Ranking, Personalization, Search or Ads a big plusProficient in Programming languages such as Python, SQL.Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience – an advantageExperience shipping Realtime models a big plusFluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insightPreferred Qualification:Subsidiary: PayPalTravel Percent: 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. For more information, visit . The US national annual pay range for this role is $188,000 to $323,950For 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, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .Who We Are:to learn more about our culture and community.Commitment to Diversity and InclusionPayPal 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. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .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. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please .We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.