1+ months

Machine Learning Engineer - PayPal

San Jose, California

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 277 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

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Job Description Summary

The Merchant Solutions AI team designs, builds, maintains, and improves the machine learning models and ML infrastructure that are used by PayPal's large enterprise clients. Our suite of AI/ML products allow large retailers to easily enable state of the art recommendation systems on their websites and emails, and directly increase their sales, revenue, and user engagement metrics.

As a Senior Machine Learning Engineer in our fast-moving, small entrepreneurial team, you will design, build, and optimize our multiple recommendation systems, as well as the ML pipeline and data infrastructure. You will own projects end-to-end and drive design decisions that affect millions of users worldwide. Additionally, you will gain domain expertise in a variety of industries, working with data and ML models used by a diverse set of PayPal merchants.

Job Description


  • Use Big Data technologies such as Spark/Hadoop to design and build web-scale data pipelines
  • Optimize and improve several real-time recommendation systems by evaluating new strategies, productionizing your changes, and A/B testing them
  • Use state of the art methods for ranking, NLP, supervised and unsupervised learning, to optimize performance of recommendation systems
  • Use statistical methods and good experiment design to ensure real gains from your model changes



  • MS/PhD in Computer Science or a related field, specialization in ML/AI.
  • Solid knowledge in statistics/experiment design
  • 2+ years of full time development experience
  • Experience in object oriented programming (Python and Scala is a plus)
  • Knowledge of relational databases and query authoring (SQL)


Posted: 2019-09-27 Expires: 2019-11-26

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Machine Learning Engineer - PayPal

San Jose, California

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