Google Cloud PlatformHadoopPythonPyTorchSQLTensorflow
About the role
Design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across Brands and surfaces
Set technical direction of team and build/define next generation shopping discovery recommendation engine leveraging PayPal’s two-sided network
Develop and implement advanced ML frameworks such as graph neural networks and deep learning models for recommendation, personalization, shopping ranking and recommendations
Design and deploy scalable generative AI solutions and scalable AI solutions that enhance customer experience
Work closely with engineering group and PayPal's Platforms organization to deploy solutions
Communicate complex concepts and model results to technical and non-technical audiences and influence partners
Shape architecture and bring alignment across platform teams on MLOps flows
Influence team direction 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+ yrs. of relevant industry experience OR PhD with 6+ yrs. of relevant industry experience
Experience in Recommendation /Ranking, Personalization, Search or Ads a big plus
Proficient 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 advantage
Experience shipping Realtime models a big plus
Fluent spoken and written English communication with business and engineering partners
Benefits
annual performance bonus (or other incentive compensation, as applicable)
equity
medical, dental, vision, and other benefits
health and life insurance
employee shares options
flexible work environment
balanced hybrid work model (3 days in the office, 2 days at your choice of either the PayPal office or your home workspace)
resources to champion financial, physical, and mental health
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.