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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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