Machine Learning Intern
PayPal
internship
Posted on:
Location Type: Hybrid
Location: San Jose • Arizona, California, Illinois, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $26 - $55 per hour
Job Level
Entry Level
Tech Stack
NumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningsupervised learningunsupervised learningdeep learningPythondata analysisdata cleaningdata wranglingNumPyPandas
Soft skills
communicationcollaborationproblem-solvingmotivationproactivitywork ethicpassion for learning