Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming
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 375 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.
We are looking for an experienced Machine Learning Engineer with proven Data Science background to be part of the GDS (Global Data Sciences) Payments Engineering Team.
Machine Learning Engineer
Job Description:
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 286 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.
At PayPal’s Global Data Sciences (GDS), we apply artificial intelligence to large-scale, complex issues facing the payments industry and help reduce fraud, protect our customers, provide better customer service, and empower global commerce. PayPal’s two-sided network generates a tremendous amount of aggregate data to help us close the loop between speed, convenience, and safety.
As part of GDS you will be immersed in an amazing community with a vibrant culture that thrives on innovation, collaboration, inclusion and wellness. Our data scientists and engineers push the boundaries of AI through experimentation, collaboration and investment in cutting-edge technology that will shape the future of fintech. Are you ready to help us change the world?
We are looking for an experienced Machine Learning Engineer to be part of the GDS Payments Engineering Team. The successful candidate will interact with global cross-functional teams to address complex business requirements. The individual should be self-motivated, possess creative problem-solving skills as well as the ability to handle multiple projects at the same time.
Responsibilities:
In this role, the individual will be part of the engineering team within GDS and have the following responsibilities (not an exhaustive list).
Job Requirements
PayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.