Machine Learning Engineer Intern - Summer 2027
About The Position
As a Machine Learning Engineer Intern at PayPal, you will work alongside experienced engineers, data scientists, and product teams to explore and build machine learning solutions. You will contribute to data preparation, model development, experimentation, and deployment with guidance from your team. The role supports products and services across PayPal, Braintree, Venmo, and Paydiant, applying machine learning to challenges in connected payments and helping build scalable systems and new customer experiences. Candidates should bring strong programming and analytical skills, curiosity about machine learning, and a desire to build reliable solutions that improve functionality, performance, and customer experiences. The internship is part of the Summer 2027 program; interns must be returning to school in Fall 2027 and be legally authorized to work in the U.S. without sponsorship. The position is based in San Jose, California, with a stated pay range of $50–$59 per hour. PayPal describes its balanced hybrid work model as three days in the office and two days at either the office or home for the majority of employees.
Requirements
- 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.
- 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.
- Must be legally authorized to work in the U.S. without sponsorship.
Responsibilities
- Assist with developing, testing, and optimizing machine learning models and algorithms for business and customer needs.
- Prepare, clean, and analyze datasets; help 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.
Benefits
- Generous paid time off.
- Healthcare coverage for the employee and family.
- Resources to support financial security and mental health.
- Comprehensive, choice-based programs supporting physical, emotional, and financial wellbeing.
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What This Job Offers
Career Level
Intern
