Job DescriptionThis graduate internship is a full-time position Summer-Fall 2027 (May or June through December) on site in Rochester, Minnesota.The primary purpose of the Graduate Engineer Internship is to provide a graduate student with relevant engineering experiences. One or more mentors will be assigned to the intern to provide instruction, guidance and to assess performance. The intern is responsible for learning the procedures and processes of the Division of Engineering and the assigned work unit. In addition, the intern will be given selected engineering work assignments to reinforce the learning experience and to provide benefit to the work unit. The engineering assignments may include 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, and participating in design reviews. All assignments are within the context of the Division of Engineering Quality Management System (including safety risk management) and are performed in a multi-disciplinary development environment. The intern will be responsible for completing all internship-related assignments and reports for both Mayo and the participating educational facility (if applicable).
QualificationsThe 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.
Additional Preferred Qualifications- 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
***To be considered for this position please attach the following to your application:- Undergraduate Transcript
- Current Transcript
- Resume or CV
- Applicants are strongly encouraged to include a Cover Letter
About UsWhy Mayo ClinicMayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
About the TeamJust as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
