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Fall Machine Learning Co Op Jobs in Minnesota (NOW HIRING)

Mativ

Safety Intern

Minneapolis, MN · On-site

$22/hr

This co-op position is an excellent opportunity to learn and contribute to corporate EHS strategic ... Desire to make a strong contribution in a continuous learning environment, while enhancing their ...

ASV HOLDINGS, Inc.

Test Engineer

Grand Rapids, MN · On-site

Minimum of 2 years' experience in product development. (Internship and co-op experience will be ... Ability to use overhead cranes for moving large machine substructures and components. * Ability to ...

Cargill

Applications Food Scientist R&D Intern

Plymouth, MN · On-site

$15.75 - $21/hr

... co-op or full-time position to return the following year. Our Benefits: No matter who you are or ... Digital Learning Library * Housing and Relocation Assistance for those that qualify *Minnesota ...

Cargill

Applications Food Scientist R&D Intern

Plymouth, MN · On-site

$15.75 - $21/hr

... co-op or full-time position to return the following year. Our Benefits: No matter who you are or ... Digital Learning Library * Housing and Relocation Assistance for those that qualify *Minnesota ...

Associated Milk Producers

HR MANAGER

Paynesville, MN

In 2019, the co-op launched its Dinner Bell Creamery brand and accompanying Co-op Crafted promise ... Oversee learning and development for all employees, running reports, assigning affected training ...

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Fall Machine Learning Co Op information

See Minnesota salary details

$25K

$41.7K

$86.2K

How much do fall machine learning co op jobs pay per year?

As of Jul 1, 2026, the average yearly pay for fall machine learning co op 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.

Is 40 too late for data science?

For a Fall Machine Learning Co Op or similar data science roles, starting a career at age 40 is not too late. Many professionals transition into data science later in life, and skills such as programming, statistics, and machine learning can be developed through online courses and certifications regardless of age. Experience and continuous learning are valued in the field, making age less of a barrier.

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

Which 5 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that require complex problem-solving, creativity, and human interaction—such as data scientists, AI specialists, software engineers, product managers, and user experience designers—are likely to persist despite AI automation. These jobs involve skills like critical thinking, domain expertise, and collaboration that are difficult for AI to replicate fully.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, a strong educational background, and may include leadership responsibilities or specialized expertise in cutting-edge AI technologies.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

Which 3 jobs will survive AI?

For a Fall Machine Learning Co Op, roles that involve complex problem-solving, creativity, and human interaction are more likely to survive AI automation. These include jobs like data scientists, AI ethics specialists, and machine learning engineers, which require advanced technical skills, critical thinking, and domain expertise. Such roles are expected to remain in demand due to their reliance on nuanced judgment and continuous innovation.
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Fall Machine Learning Co Op jobs near you
Safety Intern

Safety Intern

Mativ

Minneapolis, MN • On-site

$22/hr

Full-time, Internship

Retirement

Posted 19 days ago

Key responsibilities

  • Lead and contribute to defined projects focused on improved EHS data collection, management, and communication from facility to enterprise level.

  • Assist in the development and implementation of corporate policies, procedures, training, and programs such as MNOSHA, CWA, RCRA, SPCC, and ESG.

  • Work closely with cross-functional teams to promote a culture of safety and environmental stewardship.

Mativ rating

6.6

Company rating: 6.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Safety Intern
Mativ is a global leader in specialty materials headquartered in Alpharetta, Georgia. The Company offers a wide range of critical components and engineered solutions that connect, protect, and purify our world.
Mativ is currently searching for an Environmental, Health, and Safety (EHS) co-op to join our team. This co-op position is an excellent opportunity to learn and contribute to corporate EHS strategic initiatives, and the important factors that make them successful. We are looking for an enthusiastic and results-driven intern to support the corporate environmental, health, and safety leadership team in deployment of key initiatives at the Mativ's Minneapolis Plant manufacturing operations.
Responsibilities
  • Lead and/or contribute to defined projects focused on improved EHS data collection, management, communication, from facility to enterprise - level,
  • Assist in the development and implementation of corporate policies, procedures, training and programs such as; MNOSHA, CWA, RCRA, SPCC, and ESG.
  • Work closely with cross-functional teams to promote a culture of safety and environmental stewardship,
  • Develop working knowledge of federal, state and local environmental, health & safety regulations,
  • Interact with site EHS leaders and corporate staff on various projects and initiatives.

Preferred Qualifications:
  • Pursuing a Bachelor's Degree in Occupational Health and Safety, Industrial Hygiene, Environmental Science or a related discipline.
  • Minimum GPA-3.0.
  • Prior Internship or work experience in a safety related position

Competencies:
  • A team player with exceptional organizational and technical skills
  • Proven record of demonstrating the following:
    • Problem-solving and decision making
    • Collaboration and teamwork
    • Demonstrated project management skills and ability to balance multiple assignments at once
    • Desire to make a strong contribution in a continuous learning environment, while enhancing their readiness for a full-time career
  • The hourly rate for this position starts at $22.00/hour.

WHAT WE OFFER
At Mativ, our benefits reflect how much we value and care for each other. We know that employees and their families have unique needs, so our comprehensive benefits offer flexibility, quality, and affordability. Here are just a few of the ways we support your well-being and that of your loved ones:
  • 401(k) savings plan with company match
  • Employee assistance programs - available 24/7 to you and your family

ABOUT MATIV
Mativ Holdings, Inc. is a global leader in specialty materials headquartered in Alpharetta, Georgia. The company connects, protects, and purifies the world every day through a wide range of critical components and engineered solutions that solve our customers' most complex challenges. We manufacture on three continents and generate sales in nearly 100 countries through our family of business-to-business and consumer product brands. The company's two segments, Filtration & Advanced Materials and Sustainable & Adhesive Solutions, target premium applications across diversified and growing end-markets, from filtration to healthcare to sustainable packaging and more. Our broad portfolio of technologies combines polymers, fibers, and resins to optimize the performance of our customers' products across multiple stages of the value chain. Our leading positions are a testament to our best-in-class global manufacturing, supply chain, and materials science capabilities. We drive innovation and enhance performance, finding potential in the impossible.
Mativ and its subsidiaries are Equal Opportunity Employers. Qualified applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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