Machine Learning Engineer PhD Intern - Summer 2027

Job Summary: MLE PhD Intern plays a critical role in ensuring PayPal’s adherence to a complex and evolving landscape of local and global regulations. By leveraging advanced machine learning, cutting-edge research, and data-driven insights, we design innovative solutions that streamline compliance processes, strengthen risk mitigation, and empower PayPal to deliver a secure, trusted, and seamless financial experience worldwide. Job Description: As a Machine Learning Engineer PhD Intern, you will work with experienced engineers, data scientists, and product teams to research, develop, and evaluate machine learning solutions. You’ll take on complex technical problems, work with large datasets, and contribute to model development and deployment. You should be comfortable applying advanced machine learning knowledge, communicating your findings, and collaborating to bring solutions into PayPal products and services.

Essential Responsibilities:

• Conduct applied research to identify and develop machine learning solutions for complex business challenges.
• Design, build, and evaluate machine learning models, using appropriate methods to assess their effectiveness, reliability, and suitability for use.
• Analyze data and conduct experiments to generate insights and guide model development.
• Collaborate with engineers, data scientists, and cross-functional partners to translate business needs into scalable machine learning solutions.
• Contribute to the development and deployment of machine learning pipelines and solutions in production environments.
• Monitor model performance and identify opportunities to improve outcomes, reliability, and efficiency.
• Document research, experiments, and technical decisions, and communicate findings to technical and non-technical audiences.
• Stay informed about developments in machine learning and assess their potential relevance to PayPal’s products and services.

Minimum Qualifications:

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