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.
Machine Learning Engineer at Auror, using data science to reduce retail crime through innovative ML systems. Collaborate with product teams and develop impactful solutions leveraging real - time data.
Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.