Opportunities · Internship
2027 Summer Internship - Machine Learning Engineer
Q2ebanking · Austin, Texas
Applies on Workday≈$36-$64/hr
Role overview
What you'll own
- 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.
- 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
Requirements and eligibility
- Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field
- Applicants must be authorized to work for any employer in the U.
Preferred, not required
- Coursework or project experience with Python (R or Java a plus)
- Coursework or personal projects involving fraud detection, risk modeling, or similar domains
- Exposure to APIs, backend services, or working with large datasets
Dates for this one
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Posted
Sep 15, 2026
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