Machine Learning Scientist Intern (PhD)

$43,680 - $114,400/Yr

PayPal India Private Limited - San Jose, CA

Full-time - Intern

Hybrid - San Jose, CA

About the position

As a Machine Learning Scientist Intern at PayPal, you will play a crucial role in enhancing the company's products through advanced machine learning techniques. This internship offers the opportunity to work on real-world projects that impact millions of users globally, contributing to PayPal's mission of democratizing financial services. You will collaborate with a team of ML scientists and engineers to design, develop, and optimize predictive models, while also communicating insights effectively to stakeholders.

Responsibilities

• Design, develop, implement, deploy, and monitor predictive models using machine learning techniques.
• 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, extracting insights and manipulating big data.
• Collaborate with other ML scientists and engineers to formulate innovative solutions and implement advanced ML techniques.
• 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