Machine Learning Scientist Intern; PhD

Overview

As a machine learning scientist intern in Pay Pal’s Global Analytics & Data Science (GADS) organization, you will have an impact on Pay Pal’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. Leveraging Pay Pal’s extensive data, you will apply machine learning techniques to deliver end‑to‑end solutions. If you are passionate about deriving insights, solving unique challenges, and collaborating in a values‑driven environment, Pay Pal’s GADS invites you to apply.

• 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, 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.

• PhD in a quantitative science or engineering field (Computer Science, Statistics, Physics, Mathematics, Operations 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 (Big Query/Hive/Spark), and bash.
• Internship Program Information and Requirements:
  • This is a Summer 2024 internship program. Spring and Fall 2024 internships are not available.
  • Must currently be pursuing a PhD degree in Computer Science or a 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.

• Pay Pal is committed to fair and equitable compensation practices.
• The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits.
• The U.S. national hourly pay range for this role is $21 to $55.
• To learn more about Pay Pal benefits, visit Pay Pal Benefits.