Sr Machine Learning Engineer at Paypal
San Jose, California, United States
🇺🇸 (Posted Jul 10 2018)
About the company
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 237 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.
The PayPal Merchant Services AI team designs, builds, maintains, and improves the machine learning models and ML infrastructure that are used by PayPal's large enterprise clients.
As a Sr 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 world wide.
Design and build the online and offline data stores used by several production machine learning systems
Maintain and improve real time recommendation systems and pipeline
Build and optimize ML models that feed into various recommendation systems
Use statistical methods and good experiment design to ensure real gains from your model changes
Skills & requirements
MS/PhD in Computer Science or a related field, specialization in ML/AI.
Solid knowledge in statistics/experiment design
3+ years of full time experience in developing ML systems
Experience in OOD and programming languages (Java/Scala)
Knowledge of relational databases and query authoring (SQL)
Knowledge in design of complex, low latency, data-intensive applications
Instructions how to apply
see the website
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