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Internship Machine Learning Jobs in Minnesota (NOW HIRING)

University of St Thomas

Research Intern

Saint Paul, MN · On-site

$20/hr

Research interns will work directly with faculty on sponsored research initiatives, including ... Develop and implement machine learning algorithms for pattern recognition in digital signals ...

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN · On-site

$14.75 - $19/hr

Interns will utilize statistics and computer science to solve complex problems in healthcare. ... machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for ...

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN

$15.25 - $19.75/hr

Interns will utilize statistics and computer science to solve complex problems in healthcare. ... machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for ...

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All JobsMachine Learning JobsInternship Machine Learning JobsInternship Machine Learning Jobs in Minnesota

Internship Machine Learning information

See Minnesota salary details

$25K

$41.7K

$86.2K

How much do internship machine learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for internship machine learning in Minnesota is $41,707.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,100.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
What are the most commonly searched types of Machine Learning jobs in Minnesota? The most popular types of Machine Learning jobs in Minnesota are:
What are popular job titles related to Internship Machine Learning jobs in Minnesota? For Internship Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning jobs in Minnesota look for? The top searched job categories for Internship Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Internship Machine Learning jobs? Cities in Minnesota with the most Internship Machine Learning job openings:
Internship Machine Learning jobs near you
Research Intern

Research Intern

University of St Thomas

Saint Paul, MN • On-site

$20/hr

Other

Posted 26 days ago

University Of St. Thomas (Minnesota) rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

226th of 553 rated colleges and universities

Job description

OVERVIEW
Job Title: Research Intern
Pay: Graduate Intern ($20/hr)
Undergraduate Intern ($17-$19.25/hr based on experience)
Location: St. Paul
Job Summary:The START Center at the School of Engineering is seeking motivated undergraduate and graduate students to join our research team. This position offers hands-on experience in cutting-edge on going projects at the START Center including ones that require the use of embedded systems, FPGA development, hardware design projects. Research interns will work directly with faculty on sponsored research initiatives, including Department of Defense partnerships and industry collaborations.
Essential Functions:
Essential functions vary by project, but many current projects require one or more of the following:
  • Collaborate with faculty and industry partners on sponsored research deliverables.
  • Assist with embedded systems development using microcontrollers
  • Design and implement digital signal processing algorithms and hardware accelerators
  • Develop and implement machine learning algorithms for pattern recognition in digital signals, including speech, audio, biomedical, and sensor data applications
  • Design and train deep learning models for automated feature extraction from time-series signals
  • Conduct testing and validation of electronic systems and sensors
  • Develop technical documentation including test reports, design specifications, and research summaries
  • Perform PCB layout, component selection, and hardware debugging
  • Support data collection, analysis, and visualization for ongoing research projects

QUALIFICATIONS
  • Currently enrolled undergraduate or graduate student in Electrical Engineering, Computer Engineering, or related technical discipline.
  • Students must be actively enrolled at least part-time in courses for credit.
  • Strong foundation in digital logic design and embedded systems concepts
  • Programming experience (C/Python/MATLAB)
  • Ability to work independently and as part of a collaborative research team
  • Strong attention to detail and commitment to quality in technical work

ELIGIBILITY
To be eligible for student employment, St. Thomas students must be degree seeking at the undergraduate, graduate and doctoral levels. Students must be actively enrolled at least part-time in courses for credit. For further information on eligibility please see the Student Employee Toolkit on One StThomas.
The University of St. Thomas is an Equal Opportunity Employer, including
disability and protected veteran status.

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