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Added 1 min ago
Sr. Staff ML Infra Engineer - Offline Infra & Training
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United States
As our Staff Software Engineer, ML infra Engineer for Search & Discovery organization, you will be in charge of designing and implementing durable & efficient software solutions that handle…
Added 1 min ago
Systems Engineer
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Added 4 mins ago
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Data Platform Engineer III (HEDIS Support)
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In order to ensure your application is successfully received before the job posting expires, please submit your application by 11:59 PM on Thursday, November 12, 2026
Added 12 mins ago
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Added 21 mins ago
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Added 23 mins ago
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Mayo Clinic

Graduate Engineering Intern - Software Development

Rochester, MN, United States

$33.94 USD / hour

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Job details

Pay: $33.94 USD / hour
Posting language: English
Posted: Oct 29, 2026

Original job description

Why Mayo Clinic

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 (https://jobs.mayoclinic.org/benefits/) – 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.

Responsibilities

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).

Qualifications

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.

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

Exemption Status

Nonexempt

Compensation Detail

This position has a predetermined rate of $33.94 per hour.

Benefits Eligible

Schedule

Full Time

Hours/Pay Period

Schedule Details

Monday - Friday Days. This position is predominately onsite.

This position is expected to work approximately 8 months with an approximate start date of May/June 2027.

International Assignment

Site Description

Just 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. (https://jobs.mayoclinic.org/alllocations)

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" (https://www.eeoc.gov/poster) . Mayo Clinic participates in E-Verify (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) 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.

Recruiter

Shelly Weir

Equal opportunity

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

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More about this job

Skills

Software development
Troubleshooting
Machine learning
Python
NumPy
pandas
Deep learning
TensorFlow
PyTorch
Scikit-learn
R
The MathWorks MATLAB
Research
Documentation

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