2027 Summer Internship - Machine Learning Engineer
Q2 Software, Inc.18 hours ago
Cary, NC, USAIntern
Responsibilities
- Research emerging fraud and abuse patterns and help translate findings into detection ideas.
- Build and test ML product features for identity, behavior, and transaction fraud.
- Build and maintain pipelines supporting ML model training, evaluation, and inference.
- Write clean, well-tested code alongside engineers using modern AI-assisted development tools.
- Monitor and troubleshoot production ML systems, including data pipelines and model performance.
Requirements
- Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field.
- Coursework or project experience with Python; R or Java is 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 collaborative mindset.
- Fluent written and oral communication in English.
- Preferred: coursework or personal projects involving fraud detection, risk modeling, or similar domains.
- Preferred: exposure to APIs, backend services, or large datasets.
- Preferred: comfort using AI-assisted development tools such as Claude Code.
Benefits
- Q2 offers ongoing learning opportunities, internal mobility, leadership relationships, recognition programs, volunteer opportunities, and culture-building events.
- Benefits include resources for physical, mental, and professional well-being.
- This is a 2027 summer internship.