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Machine Learning Intern Jobs in Chaska, MN (NOW HIRING)

Allstate Peterbilt group

Summer Intern

Saint Louis Park, MN · On-site

$15.75 - $21/hr

Summer Intern Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For ...

EOSIS

College Level Intern

Saint Paul, MN

$15 - $17/hr

An Intern has the opportunity to receive real world, multidisciplinary treatment team exposure, in a variety of levels of care, across a variety of populations within the company, as well as ...

Nystrom & Associates Ltd

CTSS Intern

Apple Valley, MN · On-site

$15.50 - $20.50/hr

CTSS Intern Location: 7300 West 147th Street, Ste 204, Apple Valley, MN 55124 Working Model: Onsite Employee Type: 0.25 - 1.0 FTE - Full Time or Part Time At Sagent Behavioral Health, we believe ...

Nystrom & Associates

CTSS Intern

Apple Valley, MN · On-site

$15.50 - $20.50/hr

CTSS Intern Location: 7300 West 147th Street, Ste 204, Apple Valley, MN 55124 Working Model: Onsite Employee Type: 0.25 - 1.0 FTE - Full Time or Part Time At Sagent Behavioral Health, we believe ...

Reli Group Inc

Power BI Intern

Minneapolis, MN · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

Reli Group Inc

Power BI Intern

Plymouth, MN

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

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Machine Learning Intern information

See Chaska, MN salary details

$27.3K

$45.7K

$94.4K

How much do machine learning intern jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning intern in Chaska, MN is $45,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,800.00 and $49,300.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Chaska, MN? The most popular types of Machine Learning jobs in Chaska, MN are:
What job categories do people searching Machine Learning Intern jobs in Chaska, MN look for? The top searched job categories for Machine Learning Intern jobs in Chaska, MN are:
What cities near Chaska, MN are hiring for Machine Learning Intern jobs? Cities near Chaska, MN with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Chaska, MN as of May 2026, with employment types broken down into 53% Full Time, 31% Part Time, 4% Temporary, 8% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $45,659 per year, or $22 per hour.
Medical Affairs Intern

Medical Affairs Intern

Inspire Medical Systems Inc.

Minneapolis, MN • On-site

$15.75 - $21/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Position Summary:

We are seeking a Medical Affairs Intern to join our team and support key Medical Education initiatives. This role will assist with the coordination and execution of educational trainings, meetings, and communications for Residents, Fellows, and other Medical Education programs.

The ideal candidate enjoys project management, multitasking, and attention to detail, and is comfortable coordinating multiple workstreams to ensure timely and successful delivery of projects. This internship offers hands-on exposure to academic and medical education initiatives within a collaborative, fastpaced environment.

This position requires an in-office presence four days per week. Candidates must be located in the Twin Cities area for the duration of the internship.

This is a great opportunity to work closely with the Director of Academic Development and the Director of Medical Education, gaining direct insight into Medical Affairs and academic program development.

Main Duties/Responsibilities:
  • Project Management: Coordinate with the Academic Development Team & Sales organization regarding our Fellowship program which includes scheduling meetings, introductions, and other details.
  • Project Management: Coordinate with Medical Education team regarding our Advanced Practice Provider (APP) Education Programs and other Medical Education programs that support the Inspire therapy. 
  • Coordinate and participate in Residents and Fellows video series for continued learning.
  • Data Management: Update data in Microsoft Dynamics working externally with Academic Centers to do so. 
Educational Requirements:
  • Currently pursuing a four-year degree in Business, Marketing, Data Management, or a related field
Required Experience: 
  • Strong attention to detail and organizational skills.
  • Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook).
  • Strong communication skills, both verbal and written.
  • Ability to work independently and collaboratively.
  • Willingness to take initiative and seek solutions.
Preferred Experience:
  • Experience with Microsoft Dynamics and Smartsheets
  • Experience working with remote teams or field-based professionals.

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