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The primary purpose of the Graduate Engineer Internship is to provide a graduate student with relevant engineering experiences. Mayo Clinic is looking to provide hands-on experience to graduate students in engineering roles.

Requirements

• Familiarity with machine learning concepts and algorithms (overfitting, decision trees, logistic regression, etc.)
• Familiarity with Python 3 and foundational libraries (NumPy, pandas/polars, matplotlib, etc.)
• Working knowledge of deep learning/machine learning frameworks (such as TensorFlow, Pytorch, scikit-learn, R, and/or MATLAB)
• Familiarity with or interest in sensor-based AI and machine learning on limited-compute devices
• Familiarity with or interest in optimizing machine learning models to reduce computational load
• Desire to participate in research and analysis on emerging tools, frameworks, architecture and best practices in machine learning
• Ability to produce documentation related to task activities

Responsibilities

• designing components
• developing a project strategy
• gathering user needs, requirements and specifications
• evaluating commercial components
• assembling prototype systems
• performing design verification and design validation
• troubleshooting

Other

• This graduate internship is a full-time position Summer-Fall 2026 (May or June through December) on site in Rochester, Minnesota.
• The intern is responsible for learning the procedures and processes of the Division of Engineering and the assigned work unit.
• The intern will be responsible for completing all internship-related assignments and reports for both Mayo and the participating educational facility (if applicable).
• The incumbent must have received a bachelor of science in engineering, business administration, management information systems, or other technology-related degree from an accredited college or university and be enrolled in or intending to enroll in a graduate degree program.
• Please attach an undergraduate transcript and a current graduate transcript to application.