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Machine Learning Engineer in Shanghai at PayPal

Date Posted: 1/11/2021

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Shanghai
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    1/11/2021
  • Job ID:
    R0065029

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 305 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 currently recruiting a machine learning engineer to work on a large scale big-data machine learning & solution automation platform. 

PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world.  As a team member of PayPal’s Global Data Science organization, you will have an impact on PayPal’s product all around the world.  

We are currently recruiting a machine learning engineer to work on a large scale big-data machine learning & solution automation platform.  If you have exceptional skills and passion in both software engineering and statistics/data science, we’d like to meet you!  In this role you will work with a talented engineering and data science team to develop a state-of-the-art data science automation framework that will enable hundreds of solutions and users, while also having the opportunity to research the latest machine learning techniques.  

About You

  • 2+ years’ work experience as a Machine Learning Engineer or similar role.
  • Understanding of various advanced analytical and machine learning methods. Familiar with machine learning frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.).
  • Excellent understanding of computer science fundamentals, data structures, and algorithms.
  • Expertise required in object-oriented design methodology and application development in Python.
  • Familiar with Big Data related technologies
  • Familiar with managing large volumes of complex data (SQL, pyspark, Excel PivotTables).
  • Good communication skills in oral and written English.
  • Think outside of the box. Willing to have both hard work and have fun.
  • Ability to work in a team and highly collaborative
  • Working experience in multi-national company is a plus.
  • BS, MS, or PhD in Computer Science or related technical discipline (or equivalent).

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. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

R0065029