PayPal Machine Learning Engineer in San Jose, California
Machine Learning Engineerin San Joseat PayPal
Date Posted: 8/9/2018
Employee Type: Full-Time
Experience: Not Specified
Date Posted: 8/9/2018
Job ID: R0034881
HELP US REIMAGINE MONEY.
At PayPal, we believe that now is the time to democratize financial services so that moving and managing money is a right for all citizens, not just the affluent. We are driven by this purpose, and we uphold our cultural values of collaboration, innovation, wellness and inclusion as our guide for making decisions and conducting business every day. It is our duty and privilege to be customer champions and put those we serve at the center of everything we do.
We are one team that respects and values diversity of thought for everyone, everywhere, and we actively seek to create an energizing workplace that brings out the best in all of us. If you’re ready to shape the future of money, join the team at PayPal. We're proud to work here. You will be too.
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 244 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 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.
Build and improve 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
MS/PhD in Computer Science or a related field, specialization in ML/AI.
Solid knowledge in statistics/experiment design
1+ years of full time development experience
Experience in OOD and programming languages (Java/Scala)
Knowledge of relational databases and query authoring (SQL)
We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.
Individuals seeking employment at PayPal are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. You have the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.