2027 Summer Internship - Machine Learning Engineer

Public source summary from intern-list.com / Jobright.

Q2 provides digital banking and lending solutions through financial technology. The company is seeking a 2027 summer Machine Learning Engineering intern to support fraud and abuse detection, develop and test ML product features, maintain model pipelines, and help monitor production ML systems.

Responsibilities

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

Qualifications: Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field Coursework or project experience with Python 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 This position requires fluent written and oral communication in English Applicants must be authorized to work for any employer in the U.S.

We are unable to sponsor or take over sponsorship of an employment Visa at this time Coursework or project experience with R or Java 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)

Benefits: Year-round Q2 ChangeMakers awards program Ongoing learning opportunities Internal mobility Meaningful leadership relationships Company-wide volunteer days Q2 Homecoming Week, featuring learning, community service, and culture-building experiences Resources for physical, mental, and professional well-being Benefits beyond healthcare Volunteer work and nonprofit support through the Spark Program