PayPal

Senior Machine Learning Technical Lead

PayPal

full-time

Posted on:

Location Type: Hybrid

Location: San Jose • California, Illinois, Texas • 🇺🇸 United States

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Salary

💰 $188,000 - $323,950 per year

Job Level

Senior

Tech Stack

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.

Hard skills
machine learningdeep learninggraph neural networksrecommendation systemspersonalizationrankingprogramming languagesPythonSQLMLOps
Soft skills
communicationinfluencecollaborationtechnical presentationalignment
Certifications
Masters degreePhD
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