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Machine Learning Scientist PhD Intern (GADS)

PayPal

PayPal

This job is no longer accepting applications

See open jobs at PayPal.
Software Engineering
San Jose, CA, USA
Posted on Tuesday, January 9, 2024
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:
As a machine learning scientist intern in PayPal’s Global Analytics & Data Science (GADS) organization, you will have an impact on PayPal’s products all around the world. Our machine learning 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 the research and delivery of end-to-end ML solutions. If you are interested to be a Data Scientist/Machine learning and have sharp analytical skills and a passion for deriving new insights, solving unique challenges, leveraging machine learning algorithms, and working in a highly collaborative, values-driven environment – then PayPal’s GADS is looking for you. Job description: In your role as a machine learning scientist, you will:

  • Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks and tree-based models.
  • Work with large volumes of data, including extracting insights and manipulating big data covering a wide range of information.
  • Collaborate with other ML scientists and engineers to formulate innovative solutions, experiment, and implement advanced ML techniques to solve business problems.
  • Clearly and effectively communicate complex concepts, analysis insights, and modeling results through creative visualization to stakeholders of varying technical levels.


Job Description:
Requirements:

Minimum Qualifications:

  • PhD in quantitative science or engineering field (Computer Science, Statistics, Physics, Mathematics, Operation Research, etc.).
  • Strong understanding of the foundation of machine learning algorithms and statistical methods, including bagging, boosting, neural network, etc.
  • Excellent analytical. problem-solving abilities, communication skills, and a great team player
  • Previous research or practical experience in machine learning is a significant advantage.
  • Proficiency in languages used for querying, data processing, statistical analysis, model building, and monitoring, including Python, SQL (BigQuery/Hive/Spark), and bash.


Internship Program Information and Requirements:

  • This is a Summer 2024Internship program. Spring and Fall 2024 internships are not available.
  • Must currently be pursuing PhD degree in Computer Science or related field from an accredited college or university.
  • Must be returning to school in the Fall of 2024.
  • Must reside in the U.S. during the Summer internship program.
  • Must be able to obtain authorization to work in the U.S. for the summer.


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:

To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.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 paypalglobaltalentacquisition@paypal.com.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

REQ ID R0108103

This job is no longer accepting applications

See open jobs at PayPal.