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

PC support, process control, machine assembly and fabrication, wiring, records keeping, equipment refurbishments, and troubleshooting. The hands on nature of this position must be emphasized.

PC support, process control, machine assembly and fabrication, wiring, records keeping, equipment refurbishments, and troubleshooting. The hands on nature of this position must be emphasized.

In 2019, the co-op launched its Dinner Bell Creamery brand and accompanying Co-op Crafted promise ... Operate various machines at an efficient level to fulfill plant demands. * Assist coworkers with ...

MILK RECEIVING

Paynesville, MN · On-site

$26.16/hr

In 2019, the co-op launched its Dinner Bell Creamery brand and accompanying Co-op Crafted promise ... Support the training of new employees. * Assist maintenance personnel with machine repairs or ...

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 ...

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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 Jun 30, 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.
What are popular job titles related to Fall Machine Learning Co Op jobs in Minnesota? For Fall Machine Learning Co Op jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Minnesota look for? The top searched job categories for Fall Machine Learning Co Op jobs in Minnesota are:
What cities in Minnesota are hiring for Fall Machine Learning Co Op jobs? Cities in Minnesota with the most Fall Machine Learning Co Op job openings:
Maintenance Technician Co-Op

Maintenance Technician Co-Op

Resonetics

Hutchinson, MN • On-site

$22 - $24/hr

Part-time

Posted 5 days ago


Key responsibilities

  • Work with other technicians to complete equipment refurbishment, assembly, and fabrication as required.

  • Perform troubleshooting and repair of equipment and ancillary support systems under the direction of other technicians.

  • Complete various equipment and systems related planned and unplanned maintenance activities, including timely completion and filing of service records with input from other technicians.


Resonetics rating

7.0

Company rating: 7.0 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Overview
This position employs an individual for the purpose of providing technical support for equipment internal to Resonetics. This position concentrates primarily on the timely completion of assigned tasks in order to maintain established preventative maintenance schedules and to effectively repair unplanned equipment failures in a timely manner. Additional areas of focus include but are not limited to: PC support, process control, machine assembly and fabrication, wiring, records keeping, equipment refurbishments, and troubleshooting. The hands on nature of this position must be emphasized.
Responsibilities
  • Works with other technicians to complete equipment refurbishment, assembly, and fabrication as required.
  • Perform troubleshooting and repair of equipment and ancillary support systems under the direction of other technicians.
  • With input from other technicians perform various equipment and systems related planned and unplanned maintenance activities including timely completion and filing of service records.

Required Qualifications
  • 50% completion if a Degree/Diploma in Robotics, Instrumentation, Automation or relevant Electro-Mechanical field.
  • Ability to use basic hand tools and multimeter.
  • Demonstrated ability to apply the theories and principles of the following disciplines
    • Physics
    • Mathematics
    • Hydraulics/Pneumatics
    • AC/DC wiring - electrical theory
    • Electronics

Preferred Qualifications
  • Demonstrated electrical and mechanical knowledge.
  • Demonstrated technical writing skills.
  • Self motivated with the ability to work independently.

Physical Demands
  • Ability to lift 50 pounds

Compensation
The compensation for this role is competitive and will be based on experience and qualifications. The anticipated range is $22.00-$24.00 per hour.

What Resonetics employees say

Pay

Benefits

Hours and flexibility

Workplace

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