Machine Learning Intern developing solutions for compliance challenges in financial technology at PayPal. Gain hands-on experience in machine learning projects within a collaborative environment.
Responsibilities
Gain hands-on experience working on real-world machine learning projects within the compliance domain
Assist in the development, implementation, and evaluation of ML models for tasks like fraud detection, AML/KYC, and regulatory reporting
Collaborate with experienced engineers, data scientists, and compliance experts to translate business requirements into actionable ML solutions
Analyze data, build prototypes, and explore new methodologies to improve the efficiency and effectiveness of compliance processes
Contribute to the development and documentation of ML pipelines, ensuring reproducibility and maintainability
Present your findings and recommendations to stakeholders across the organization.
Network with talented professionals and gain valuable insights into the world of financial technology and machine learning
Requirements
Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning)
Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.
Experience with data analysis, cleaning, and wrangling
Excellent communication, collaboration, and problem-solving skills
A passion for learning and exploring new technologies
Highly motivated and proactive with a strong work ethic
Must currently be pursuing Bachelor’s or Master’s degree in Computer Science or related field from an accredited college or university
Must be returning to school in the Fall of 2026.
Must reside in the U.S. during the Summer internship program.
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