PayPal is looking to fuel the future of compliance with cutting-edge ML. ML interns play a critical role in ensuring PayPal's adherence to a complex web of local and global regulations. We leverage cutting-edge technology and data-driven insights to develop innovative solutions that streamline compliance processes, enhance risk mitigation, and ultimately empower PayPal to deliver a seamless and secure financial experience for everyone.
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.
- Familiarity with the financial services industry and its compliance challenges.
- Experience working with big data platforms and cloud technologies.
- Understanding of natural language processing (NLP) and its applications in compliance.
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.
Other
- 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.
