Machine Learning Scientist 3

Posted:
7/15/2024, 8:33:11 PM

Location(s):
Shanghai, China ⋅ Shanghai, Shanghai, China

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure. 

Job Description Summary:

Machine Learning Scientist in CV, NLP and multi-modal based doc understanding and processing

Job Description:

PayPal Global Analytics and Data Science team(GADS) is looking for a Machine Learning Scientist to join the team and take an important role in one of the team’s current domains – building horizontal data science projects, infrastructures and solutions serving all data science teams in GADS, focusing on enabling complex insights from our data by leveraging Computer Vision, Natural Language Processing and multi-modal techniques.

Principal job responsibilities include data science projects based on cutting-edge modelling tech/infra/data sources to serve other GDS teams to deliver higher standard products, investigating and establishing understanding on production feasibilities, and communication with up/downstream teams to make everything happen, while playing a key part of creating a new team from scratch. During this process, we will provide detailed guidance on to-dos and ensure a fast ramp-up.

About PayPal’s Data Science Team:

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 Machine Learning Scientist in PayPal’s Global Data Science organization, you will have an impact on PayPal’s Merchant and Consumer products all around the world. Our scientists work to better understand our end-users, identify opportunities and improve our products by creating personal and smart experiences. Making use of PayPal’s endless amount of data, you will leverage your data and machine learning skills, for research and delivery of end-to-end Data Science solutions.

If you are a Machine Learning Scientist with sharp analytical skills and a passion for deriving new insights from unimaginable amounts of data, solving unique challenges, leveraging machine learning algorithms, and working in a highly collaborative, values-driven environment – then PayPal’s Global Analytics and Data Sciences (GADS) is looking for you.

About You   

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

  • Master’s Degree in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.)
  • More than 2 year of experience as a data scientist. Capable of independently working on a ML project with guidance. 
  • Code writing capability in common programming language for MLE(Python and SQL is a must.) and familiarity with relevant ML packages (TF, Pytorch, etc.). Familarity with Linux environments is a plus.
  • Familiarity with LLMs, multi-modal LLMs is a plus.
  • Basic spoken and written English. Excellent English comm – an advantage
  • Clear analytical mindset and deep understanding of ML
  • Team worker, responsible, delivery-oriented

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:
Click Here to learn more about our culture and community.


PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com ,  https://about.pypl.com and  https://investor.pypl.com.

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 [email protected].

Any general requests for consideration of your skills, please Join Our Talent Community.

PayPal

Website: https://www.paypal.com/

Headquarter Location: San Jose, California, United States

Employee Count: 10001+

Year Founded: 1998

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: E-Commerce Platforms ⋅ FinTech ⋅ Mobile Payments ⋅ Transaction Processing