This 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
Mayo 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.
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.
Skills Required
- Bachelor of Science in engineering, business administration, management information systems, or another technology-related field from an accredited college or university
- Enrolled in or intending to enroll in a graduate degree program
- Familiarity with machine learning concepts and algorithms
- Familiarity with Python 3 and foundational libraries such as NumPy, pandas or Polars, and Matplotlib
- Working knowledge of 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 research and analyze emerging machine learning tools, frameworks, architectures, and best practices
- Ability to produce documentation related to task activities
- Undergraduate transcript, current transcript, and resume or CV must be submitted with the application
Mayo Clinic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mayo Clinic and has not been reviewed or approved by Mayo Clinic.
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Retirement Support — A no-cost pension plus an employer-matched 403(b)/401(k) is positioned as a standout differentiator, offering strong long-term financial security. Feedback suggests this retirement combination elevates overall total rewards even when base pay is moderate.
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Healthcare Strength — Expanded medical networks, enhanced fertility coverage, and employer absorption of a plan year’s premium increases point to robust healthcare offerings. Feedback suggests annual updates maintain breadth and competitiveness of coverage.
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Parental & Family Support — Adoption assistance, dependent scholarships, child and elder-care resources, and EAP services provide meaningful family-oriented support. Feedback suggests these programs add tangible value beyond salary alone.
Mayo Clinic Insights
What We Do
Mayo Clinic is the first and largest integrated, not-for-profit medical group practice in the world. Doctors from every medical specialty work together to care for patients, joined by common systems and a philosophy of "the needs of the patient come first." More than 3,800 physicians and scientists and 50,900 allied health staff work at Mayo Clinic, which has sites in Rochester, Minn., Jacksonville, Fla., and Scottsdale/Phoenix, Ariz. Mayo Clinic also serves over 70 communities through Mayo Clinic Health System with locations in MN, IA, and WI. Collectively, these locations care for more than 1 million people each year.
