Machine Learning Engineer Intern - Summer 2027

Job Summary: 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. Working across PayPal, Braintree, Venmo, and Paydiant, our teams apply machine learning to complex challenges in connected payments. We’re looking for candidates with strong programming and analytical skills, curiosity about machine learning, and a desire to build reliable solutions that improve functionality, performance, and customer experiences. Job Description: As a Machine Learning Engineer Intern, you will work alongside experienced engineers, data scientists, and product teams to explore and build machine learning solutions. You’ll contribute to data preparation, model development, experimentation, and deployment, with guidance from your team. You should be collaborative, curious, and eager to learn as we develop scalable systems and new experiences across PayPal’s products and services.

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.

Minimum Qualifications:

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