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Machine Learning Summer Intern Jobs in Minnesota

Seneca Foods

Agricultural Intern Summer 2026

Glencoe, MN · On-site

$18.54/hr

Agricultural Intern-Summer 2026 Qualifications: * Current student in college (no year requirement ... We look forward to learning more about you and having you a part of the Glencoe team! Starting wage ...

SENECA FOODS

Agricultural Intern Summer 2026

Glencoe, MN · On-site

$18.54/hr

Agricultural Intern-Summer 2026 Qualifications: * Current student in college (no year requirement ... We look forward to learning more about you and having you a part of the Glencoe team! Starting wage ...

University of San Francisco

Psychology Intern

Hilltop, MN

$15.75 - $20.50/hr

... encourages student learning and development in the Jesuit Catholic tradition and commits to ... Evening/Weekend on-call duty, approximately 2 weeks during the summer semester * Consultation to ...

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Machine Learning Summer Intern information

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$8

$22

$58

How much do machine learning summer intern jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for machine learning summer intern in Minnesota is $22.98, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $26.68 per hour, depending on experience, location, and employer.

What types of projects do Machine Learning Summer Interns typically work on, and how do these contribute to the team's goals?

Machine Learning Summer Interns often work on focused projects such as data preprocessing, developing and testing machine learning models, or contributing to research and prototyping efforts. These projects are designed to provide practical experience while directly supporting the team's ongoing initiatives, such as improving model accuracy or automating data pipelines. Interns usually collaborate closely with data scientists and engineers, gaining mentorship and exposure to real-world problem-solving. This hands-on involvement helps interns understand the end-to-end process of deploying machine learning solutions and prepares them for future roles in the field.

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

AspectMachine Learning Summer InternData Science Summer Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some experience in ML frameworksUndergraduate or graduate in statistics, CS, or related fields; experience in data analysis
Work EnvironmentDeveloping ML models, algorithms, and prototypes in tech or research companiesAnalyzing datasets, creating reports, and supporting data-driven decisions in various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, marketing, and tech firms

While both roles involve working with data, Machine Learning Summer Interns focus on developing algorithms and models, whereas Data Science Summer Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and project scope.

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

To thrive as a Machine Learning Summer Intern, you need a solid understanding of programming (especially Python), foundational knowledge of machine learning concepts, and coursework or experience in statistics and mathematics. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate and adapt in a fast-paced research or development setting. These abilities are crucial for contributing to real-world projects, learning from experienced mentors, and building a foundation for a future career in machine learning.

What are Machine Learning Summer Interns?

Machine Learning Summer Interns are students or recent graduates who work temporarily at a company, usually during the summer, to gain practical experience in machine learning. They typically assist with data analysis, model development, and research tasks under the supervision of experienced data scientists or engineers. This role allows interns to apply their academic knowledge to real-world problems, learn industry tools and workflows, and build professional networks. Internships often serve as a stepping stone to full-time positions in machine learning or related fields.
Machine Learning Summer Intern jobs near you
Strategic Student Program: AI/ML Software Engineer Intern (Fall 2026; EBS)

Strategic Student Program: AI/ML Software Engineer Intern (Fall 2026; EBS)

Siemens

Plymouth, MN • On-site

Other

Retirement

Posted 3 days ago

New

Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

201st of 369 rated engineering

Job description

Siemens Industry Software Inc.

Strategic Student Program (SSP)

Discover your career with us at Siemens Industry Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting students for our Fall 2026 Strategic Student Program. Our intern positions will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Siemens EDA has an opportunity for an AI/ML Software Engineer Intern. The AI/ML Software Engineer Intern will be part of our Office of Technology group, contributing to innovative research and development in Artificial Intelligence and Machine Learning. The intern will gain hands-on experience building intelligent systems, developing AI agents, and applying data-driven techniques to real-world EDA challenges.

The ideal candidate will have skills in Python, JAVA, C# or C++, and will also have a good understanding of AI/ML concepts.

Primary Responsibilities

  • Collect, clean, and preprocess large datasets, including structured and unstructured EDA-related data for analysis using various tools and programming languages such as Python.
  • Assist in the development and implementation of machine learning models and algorithms, including LLMs, classification, and regression models to extract meaningful insights from data.
  • Develop MCP Servers and Agents for the identified functionality
  • Prompt engineering around PCB design process automation
  • Python / VBScript creation and debugging
  • Create data visualizations and dashboards to communicate findings and insights effectively.
  • Stay up to date with the latest advancements and best practices in data science and analytics.

Qualifications

  • Currently pursuing a bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, or a related field.
  • Strong knowledge of programming languages such as Python, JAVA or C++/C#.
  • Exposure to or interest in AI agent frameworks, LLMs, or prompt engineering is a plus
  • Basic understanding of statistical concepts and techniques.
  • Excellent problem-solving and analytical skills with keen attention to detail.
  • Effective communication and collaboration skills, with the ability to work both independently and in a team environment.
  • Passion for AI/ML and a desire to contribute to innovative, real-world applications.
  • Basic knowledge of electronics or electronic design is a plus.

Details regarding our benefits can be found here: www.benefitsquickstart.com. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave and paid volunteer time off.

LI-EDALI-Hybrid

You'll Benefit From

The hourly pay range for this position 18 - 50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

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