ML Engineer: Fraud Detection & Production ML
q2Austin (TX)
About the role
Q2, a leading digital banking and lending solutions provider, seeks a machine learning intern in Austin, TX. You will work across the full ML lifecycle, from data pipelines to model evaluation, in a team that values learning and collaboration.
Requirements include progress toward a CS/DS/ML degree, Python experience, familiarity with ML frameworks, and a curious, analytical mindset. Nice-to-have: fraud detection projects, APIs, and large datasets.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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