המקום בו המומחים והחברות הטובות ביותר נפגשים
Your way to
the business by spearheading the development and implementation of advanced ML solutions. You will translate business challenges into actionable ML problem
Your day to day
As a Machine Learningyou willbe responsible for
and implementstate-of-the-artMachine Learning solutions to solve business problemsrelated to PayPal ConsumerMarketinglifecycleandaddress marketing challengesto
ML problems
Design, develop and deployautomatedlarge scale end-to-endMLsolutions in close collaboration with our engineeringgroup andPayPal's Platforms organization
Communicate complex concepts and the results of models and analyses to both technical and non-technical audiences
What do you need to bring
’s degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.)
4+ yrs. of relevant industry experience
Demonstrated record of building and deploying end-to-end ML solutions in a production environment, preferably in marketing or related domains
withNext Best Action recommendation systems, Multi-Arm Banditalgorithms,
bility to write scalable production-quality code in Pythonand to design and implement data engineering pipelines using technologies like SQL,BigQuery, or Spark
Hands-on experience with popular ML frameworksand packages such as TensorFlow andPyTorch. GCP/Hadoop and big data experience – an advantage
Experience leading ML projects and great record delivering solutions with attention to detail and efficiency
Experience shipping Realtime models a big plus
Ability to communicate effectively andestablishconstructive relationship withbusiness and engineering partners
Ability to work effectively both independently and in a team environment
Our Benefits:
Any general requests for consideration of your skills, please
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