Trainer at WeAndTheMany facilitating learning by sharing experiences and creating interactive sessions. Engaging with students to enhance their skills and knowledge through dynamic teaching methods.
About the role
- 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.
Benefits
- Flexible work environment
- Employee shares options
- Health and life insurance
- Medical, dental, vision, and other benefits
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