Upvote
Downvote
Machine Learning Engineer
Share Job
- Suggest Revision
- PayPal is looking for an individual contributor with strong ML engineering background in the Global Analytics and Data Science (GADS) Organization to design and develop a suite of machine learning solutions driving large-scale personalization of financial services, merchant products and action recommendations for millions of PayPal customers across the world.
- As an ML engineer, you will have the opportunity to pioneer AI/ML algorithms, large-scale ranking and recommendation systems for sequential content consumption on newly installed user interface designs at PayPal. The solutions developed by you will aid in building novel and meaningful graph-based community assets around the PayPal network of consumers and merchants, to ultimately drive key product and marketing KPIs associated with customer experience, engagement and the revenue bottom line.
- Advanced degree (MS or PhD) in quantitative science or engineering field (for example: Computer Science, Statistics, Mathematics, Operation Research) with a minimum of 3 years of hands-on experience as an individual contributor.
- Proven expertise in designing and developing AI/ML models for ranking and recommendation systems, with in-depth understanding of both traditional machine learning, collaborative/content-based recommendation methods and cutting-edge deep learning algorithms, reinforcement learning, and bandit techniques.
- Demonstrated ability to write scalable production-quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark.
Active Job
Updated 6 days agoSimilar Job
Relevance
Active