Machine Learning Scientist Intern (PhD)

$43,680 - $114,400/Yr

PayPal - San Jose, CA

Full-time - Intern

Hybrid - San Jose, CA

Credit Intermediation and Related Activities

About the position

As a machine learning scientist intern at PayPal, you will play a crucial role in enhancing PayPal's products through the application of advanced machine learning techniques. This internship offers the opportunity to work on real-world projects that impact millions of users globally, contributing to the mission of democratizing financial services and creating a more inclusive financial ecosystem.

Responsibilities

• Design, develop, implement, deploy, and monitor predictive models using machine learning techniques, including neural networks and tree-based models.
• Evaluate and optimize existing machine learning models for performance and scalability.
• Stay up-to-date with the latest developments in machine learning and AI technologies.
• Work with large volumes of data, including extracting insights and manipulating big data.
• Collaborate with other ML scientists and engineers to formulate innovative solutions and implement advanced ML techniques to solve business problems.
• Clearly communicate complex concepts, analysis insights, and modeling results through creative visualization to stakeholders.

Requirements

• Currently enrolled in a PhD program in Computer Science, Data Science, Statistics, or a related field.
• Strong understanding of machine learning algorithms and principles.
• Proficiency in programming languages such as Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data manipulation and analysis using tools like Pandas, NumPy, or SQL.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus.
• Excellent problem-solving skills and the ability to work independently and in a team environment.
• Strong communication skills and a passion for translating complex technical concepts into practical applications.

Nice-to-haves

• Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus.

Benefits

• Flexible work environment
• Employee shares options
• Health insurance
• Life insurance
• Dental insurance
• Vision insurance
• Performance bonus
• Equity options