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Internship German Machine Learning Jobs in Minneapolis, MN

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Internship German Machine Learning information

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$26.6K

$44.4K

$91.9K

How much do internship german machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for internship german machine learning in Minneapolis, MN is $44,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What is an internship German machine learning?

An Internship German Machine Learning is a temporary training position typically offered by companies or research institutions in Germany, focusing on practical experience in machine learning. Interns work on real-world projects involving data analysis, algorithm development, and model implementation under supervision. These internships help students or recent graduates gain hands-on skills, industry exposure, and networking opportunities in the rapidly growing field of artificial intelligence and machine learning.

What types of projects can I expect to work on during a German machine learning internship?

As a German Machine Learning intern, you'll typically assist with real-world projects such as developing and testing machine learning models, preprocessing datasets, and supporting the implementation of AI solutions in both German and international contexts. You may also help with data analysis, model evaluation, and documentation, often collaborating with data scientists and engineers. These projects provide hands-on experience with industry-standard tools and workflows, helping you build practical skills and a strong professional network.

What are the key skills and qualifications needed to thrive as an internship German machine learning?

To thrive as an Internship German Machine Learning, you need a solid understanding of machine learning concepts, programming skills in Python, and progress toward a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries, as well as experience using version control systems like Git, is typically required. Strong analytical thinking, problem-solving ability, and effective communication—especially in both English and German—help you collaborate within diverse teams. These skills and qualifications are essential for successfully contributing to machine learning projects and adapting to the fast-evolving tech industry.

What is the difference between Internship German Machine Learning vs Data Scientist German?

AspectInternship German Machine LearningData Scientist German
Required CredentialsBasic programming, coursework in MLAdvanced degree in data science, statistics, or related
Work EnvironmentInternship setting, learning-focusedFull-time, project-driven
Industry UsageEntry-level roles, training programsProfessional roles, decision-making

Internship German Machine Learning positions are typically entry-level, focusing on learning and skill development, often requiring basic programming and coursework. Data Scientist German roles are more advanced, requiring higher education and experience, with responsibilities in analyzing data and building models. The internship provides a stepping stone into the data science field, while the data scientist role involves applying expertise to solve complex problems.

What are popular job titles related to Internship German Machine Learning jobs in Minneapolis, MN?

For Internship German Machine Learning jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Internship German Machine Learning jobs in Minneapolis, MN look for?

The top searched job categories for Internship German Machine Learning jobs in Minneapolis, MN are:

Infographic showing various Internship German Machine Learning job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,449 per year, or $21.4 per hour.

Internship - 2027 PhD Research & Development Intern

3M

Maplewood, MN • On-site

$15.25 - $20.50/hr

Full-time

Posted 3 days ago

New


3M rating

7.8

Company rating: 7.8 out of 10

Based on 249 frontline employees who took The Breakroom Quiz

170th of 545 rated manufacturers


Job description

Job Description:

Internship - 2027 PhD Research & Development Intern

The role of PhD Research & Development Intern is intended to start in Summer 2027.

Collaborate with Innovative 3Mers Around the World

Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

An internship is a temporary position within 3M. Interns typically work a full-time schedule throughout a 10-12 week assignment. This position is limited to working 899 hours per service credit year. 3M provides eligible interns with a housing and transportation stipend in accordance with current policy.

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

Applications on this requisition are reviewed and filled on a rolling basis; it is in a candidate's best interest to apply as soon as possible. Interested candidates should include a resume as part of their application.

The Impact You'll Make in this Role

As a PhD Research & Development Intern, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:

  • Leveraging expertise to support the development of new technologies, providing growth opportunities, in addition to supporting existing 3M products, businesses, and operations.

  • Building your technical, communication, and leadership skills.

  • Collaborating with other R&D functions across 3M that can help advance projects, including researchers from other groups, analytical chemists, process engineers, etc.

  • Collaborating with senior researchers on an assigned product/technology development or an application/product engineering project.

  • Leading and directing assigned projects towards advanced technical solutions.

  • Documenting detailed experimental records in 3M electronic laboratory notebooks that can be used for invention submissions and potentially patent applications.

  • Analyzing, interpreting, and communicating experimental results.

R&D internships are available for both digital science and laboratory-based roles in the following areas:

  • Corporate technology: Researchers working in one of our corporate R&D laboratories are concerned with the materials, processes, and/or analytical tools that go into the development of new technologies/methods and the generation of intellectual property, including patents. Projects in corporate technology may involve formulation science, synthetic chemistry, process design/control, materials characterization, development of new analytical techniques, materials scale-up, etc.

  • Product engineering and development: interns working as product engineers or developers will collaborate with other researchers in our business and corporate research laboratories to address challenges in existing products and/or develop new products. Projects in the product engineering and development space may involve formulation science, process design/control, materials characterization, voice of customers, etc.

  • Digital science and engineering: interns working in this area will use and/or develop digital science tools to address research challenges in the corporate research and business labs. Projects in the digital science and engineering space may involve: optimizing algorithms for computational efficiency, speed, and usability; building capabilities with software tools e.g., Microsoft Azure ML and/or AWS ML, Python; implementing complex data engineering processes to support innovative data science solutions; leveraging key ML or AI solutions toward materials and engineering problems; developing innovative models and simulations of complex chemical and physical processes.

Your Skills and Expertise

To set you up for success in this role from day one, 3M is looking for candidates who must have the following qualifications:

  • Currently pursuing a PhD degree in science or engineering from an accredited institution.

Additional qualifications that could help you succeed even further in this role include:

  • Currently pursuing a PhD degree in fields such as Chemical Engineering, Mechanical Engineering, Materials Science, Computer Science, Computer Engineering, Electrical Engineering, Data Science, Software Engineering, Chemistry, Polymer Science, Biomolecular Engineering, or related disciplines from an accredited institution.

  • Experience in machine learning, deep learning, data science, computer vision, artificial intelligence, statistics, software engineering, and/or applied mathematics.

  • Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns.

  • Strong problem-solving skills.

  • Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities, and the flexibility to change direction as additional information becomes available.

  • Leadership and networking skills.

  • Self-motivated and self-directed.

  • Excellent communication skills (oral, written, and presentation).

  • Completed a minimum of Freshman Year (2 semesters) by the start of the internship.

  • 6-12 months of practical laboratory experience in the synthesis of polymers and small molecules, chemical/polymer processing, advanced analytical and materials characterization, vapor coating, nanotechnology, development of sensors, and optical materials.

  • Hands-on experience in areas such as additive manufacturing, robotics, mechanical design, and/or hard goods.

  • Experience with Microsoft Azure ML and/or AWS ML.

  • Fluent in one or more programming languages (e.g., Python, MATLAB, C, C++, and/or R).

  • Ability to apply object-oriented design and/or design patterns to software development.

  • Fluent in understanding, manipulating, cleansing, and visualizing complex data.

  • Experience working with complex, distributed Big Data workflows.

  • Previous relevant intern experience or co-op with a company or university.

  • Use of designed experiments and statistical analysis of experimental results.

  • Demonstrated scientific excellence as evidenced by publications and presentations.

Work location:This role follows an on-site working model, requiring the employee to work at least four days a week at the 3M Center in Maplewood, MN or Austin, TX.

Relocation: 3M provides eligible interns with a housing and transportation stipend in accordance with current policy.

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Responsibilities of this position may include direct and/or indirect physical or logical access to information, systems, technologies subjected to the regulations/compliance with U.S. Export Control Laws.

U.S. Export Control laws and U.S. Government Department of Defense contracts and sub-contracts impose certain restrictions on companies and their ability to share export-controlled and other technology and services with certain "non-U.S. persons" (persons who are not U.S. citizens or nationals, lawful permanent residents of the U.S., refugees, "Temporary Residents" (granted Amnesty or Special Agricultural Worker provisions), or persons granted asylum.

To comply with these laws, 3M must help assess candidates' U.S. person status.

The questions asked in this application are intended to assess this and will be used for evaluation purposes only. Failure to provide the necessary information in this regard will result in our inability to consider you further for this particular position.

Supporting Your Well-being

3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.

Chat with Max

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

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