Machine Learning Engineer Internship

What you'll do

• Research emerging fraud and abuse patterns to develop new detection ideas.
• Build and test features for ML products across identity, behavior, and transaction fraud.
• Develop and maintain pipelines that support the training, evaluation, and inference of ML models.
• Write clean, well-tested code using modern AI-assisted development tools.
• Monitor and troubleshoot production ML systems and data pipelines.
• Evaluate model performance to ensure high-quality software for customers.

What we're looking for

• Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field.
• Experience with Python (R or Java are a plus).
• Exposure to ML frameworks or libraries such as TensorFlow, PyTorch, or scikit-learn.
• Foundational knowledge of statistics, probability, or experimental methods.
• Must be authorized to work for any employer in the U.S.
• Fluent written and oral communication in English.
• Coursework or personal projects involving fraud detection, risk modeling, or similar domains (preferred).
• Exposure to APIs, backend services, or working with large datasets (preferred).