Machine Learning Intern

## Projects You Could Work On You'll get exposure across the full lifecycle of applied ML — from model development and evaluation to deployment, monitoring, and improvement — on software that solves real problems for real customers. Recent intern projects on this team and others have included enhancing our Iso Framework, building data pipelines for operational insights, and researching new approaches to emerging problems. ## What You'll Do - Support research into emerging fraud and abuse patterns, and help translate findings into new detection ideas - Help build and test features for ML products across identity, behavior, and transaction fraud - Assist in building and maintaining pipelines that support training, evaluation, and inference of ML models - Write clean, well-tested code alongside engineers, using modern AI-assisted development tools - Help monitor and troubleshoot production ML systems, including data pipelines and model performance ## What You'll Bring - Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field - Coursework or project experience with Python (R or Java a plus) - Exposure to ML frameworks or libraries such as TensorFlow, PyTorch, or scikit-learn - Foundational knowledge of statistics, probability, or experimental methods - Strong analytical thinking, curiosity, and a collaborative mindset ## Nice to Have - Coursework or personal projects involving fraud detection, risk modeling, or similar domains - Exposure to APIs, backend services, or working with large datasets - Comfort using AI-assisted development tools (e.g., Claude Code)