Machine Learning Engineer Intern

PayPal

Shanghai
Training
Full-time

1 month ago

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: Meet our team:At PayPal, we’re literally reinventing how the world pays and gets paid. We understand that it is about people. We connect individuals to let them shop, get paid, donate, and send money using today’s technology with the confidence that comes from the security and control PayPal enables. We are looking for a data scientist with passion in payment industry to develop data and provide data-driven solutions/products contribute to better decision management.Job Description:Your day-to-day:Perform in-depth statistical analysis and set up machine learning service to identify opportunities to optimize decision management.Collaborate with x-functional teams to translate business challenges into data science problems, transform data into analytical assets, data products and actionable intelligence for faster decision making for all our customers.Design, develop and maintain machine learning/automation platform, apply and integrate machine learning algorithms into E2E automation pipeline.Regularly evaluate and communicate performance of analytical solutions, identify improvement opportunities, exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results on matters of significance to the business.What do you need to bring:- Master or equivalent degree in Computer Science, Engineering or related fields.- Solid knowledge and experience in at least one machine learning area, including natural language processing, computer vision, etc.- Familiar with data science related frameworks such as scikit-learn, TensorFlow, PyTorch, etc.- Good understanding of database principles and SQL beyond just data access- Analytical thinking and problem-solving skills.- Excellent oral and written communication skills in English.Preferred Qualifications:- Expert in multiple programming/scripting languages, including Unix/Linux shell scripting, Perl, Python, C++, Java, Python, Ruby, Scala and etc.- Familiar with various big data technologies, open source data processing frameworks. E.g., Spark, Hadoop, HBase, Elastic Search, Pig, Hive, and so on.- Knowledge on the following business domains: Risk, Payments, e-commerceIt's paid summer internship!globaluniversityinternmachinelearningAdditional Job Description:Subsidiary: PayPalTravel Percent: 0Our 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 visitWho We Are:
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 , and .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 .Any general requests for consideration of your skills, please

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