2027 Summer Internship - Machine Learning Engineer

Q2•Austin, TX

About The Position

This is a Summer 2027 internship position for a Machine Learning Engineer at Q2. Q2 is a leading provider of digital banking and lending solutions. The internship offers exposure to the full lifecycle of applied ML, including model development, evaluation, deployment, monitoring, and improvement, on software that solves real customer problems. Recent intern projects have involved enhancing the Iso Framework, building data pipelines for operational insights, and researching new approaches to emerging problems.

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 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
Fluent written and oral communication in English
Authorized to work for any employer in the U.S.

Nice To Haves

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)

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