Machine Learning Engineer Intern

Machine Learning Engineer Interns at PayPal help develop innovative AI and machine learning solutions that support products and services used by millions of people every day.

As a Machine Learning Engineer Intern, you will work alongside experienced engineers, data scientists, and product teams to explore and build machine learning solutions.

Essential Responsibilities:

• Assist with developing, testing, and optimizing machine learning models and algorithms for business and customer needs.
• Prepare, clean, and analyze datasets, helping assess data quality and identify patterns that support model development.
• Run experiments and evaluate model performance using appropriate methods and metrics.
• Collaborate with engineers and data scientists to support scalable ML pipelines and the deployment and monitoring of models in production.
• Write clean, maintainable code and document experiments, results, and technical decisions.
• Participate in code and design reviews, follow team standards and development practices, and incorporate feedback.
• Stay curious about developments in machine learning and explore how relevant techniques can be applied to PayPal products and services.

Additional Responsibilities & Preferred Qualifications:

• Experience with at least one programming language, such as Python, Java, C++, or similar.
• Familiarity with machine learning concepts through coursework, research, internships, or personal projects.
• Exposure to machine learning frameworks or tools such as scikit-learn, TensorFlow, or similar.
• Familiarity with data structures, algorithms, data analysis, or statistical concepts.
• Strong analytical, problem-solving, communication, and collaboration skills.

Internship Program Requirements:

• This is a Summer 2027 Internship program.
• Must be legally authorized to work in the U.S. without sponsorship.
• Currently pursuing a bachelor's or master's degree in computer science, machine learning, data science, computer engineering, or a related technical field at an accredited college or university.
• Must be returning to school in Fall 2027.

Benefits:

• Comprehensive, choice-based programs to support all aspects of personal wellbeing,physical, emotional, and financial.
• Generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Pay Range:

• San Jose, California: $50–$59 hourly