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

Sappi

Reliability Engineer Co-op

Cloquet, MN · On-site

$97K - $123K/yr

Join our team as a Reliability Engineer Intern/Co-op and gain hands-on experience supporting the ... This opportunity is ideal for an engineering student who enjoys problem-solving, learning how ...

New Vision Co-op

Agronomy Salesperson

Hills, MN · On-site

$60K - $85K/yr

Supports New Vision Co-op's stated Vision, Mission, and Business Values. * Projects a positive ... Expected to help in agronomy operations during the busy spring and fall seasons. * Performs other ...

New Vision Co-op

Agronomy Salesperson

Adrian, MN · On-site

$60K - $85K/yr

Supports New Vision Co-op's stated Vision, Mission, and Business Values. * Projects a positive ... Expected to help in agronomy operations during the busy spring and fall seasons. * Performs other ...

New Vision Co-op

Agronomy Salesperson

Adrian, MN · On-site

$60K - $85K/yr

Supports New Vision Co-op's stated Vision, Mission, and Business Values. * Projects a positive ... Expected to help in agronomy operations during the busy spring and fall seasons. * Performs other ...

New Vision Co-op

Agronomy Salesperson

Hills, MN · On-site

$60K - $85K/yr

Supports New Vision Co-op's stated Vision, Mission, and Business Values. * Projects a positive ... Expected to help in agronomy operations during the busy spring and fall seasons. * Performs other ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... Tennant Sales and Service Co. reserves the right to adjust ranges depending on the experience ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Minnesota

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 Aug 12, 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.

What is a Fall Machine Learning Co Op?

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.

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.

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:
Fall Machine Learning Co Op jobs near you

Reliability Engineer Co-op

Sappi

Cloquet, MN • On-site

$97K - $123K/yr

Full-time

Posted 10 days ago

Sappi rating

8.8

Company rating: 8.8 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

9th of 119 rated packaging manufacturers

Job description

Join our team as a Reliability Engineer Intern/Co-op and gain hands-on experience supporting the performance, reliability, and longevity of mill assets. In this role, you'll work alongside experienced reliability and maintenance professionals to support predictive and preventative maintenance programs using industry-standard tools and technologies.
This opportunity is ideal for an engineering student who enjoys problem-solving, learning how complex industrial systems operate, and contributing to reliability improvements in a dynamic, real-world environment.
The successful candidate will likely start in January or June working full time M-F 8-hour days for a duration of 9-15 months. Candidates with limited availability to 3-4 months (Summer intern) may also be considered.
What You'll Do
As a Reliability Engineer Intern/Co-op, you will:
  • Support predictive and preventative maintenance activities to improve equipment reliability and uptime.
  • Assist in collecting and analyzing data from vibration monitoring, lubrication routes, infrared thermography, ultrasound, and other condition-monitoring technologies.
  • Help trend equipment condition data to identify risks, troubleshoot potential issues, and recommend corrective actions.
  • Participate in reliability improvement projects such as Root Cause Failure Analysis (RCFA), Failure Modes and Effects Analysis (FMEA), and work management enhancements.
  • Partner with operations, engineering, procurement, and maintenance teams to gain exposure to cross-functional problem-solving.
  • Support documentation efforts, reporting, and updating reliability databases and KPIs.
  • Shadow reliability engineers to learn best practices in inspection, diagnostics, and equipment health management.

What We're Looking For
  • Currently pursuing a Bachelor's degree in Mechanical, Electrical, Industrial, Manufacturing or related Engineering field.
  • Strong interest in equipment reliability, industrial systems, maintenance engineering, or data-driven problem-solving.
  • Exposure to or willingness to learn condition-monitoring technologies (e.g., vibration analysis, lubrication, infrared thermography).
  • Solid mechanical aptitude with the ability to connect data to physical equipment.
  • Strong analytical, communication, and teamwork skills.
  • Self-motivated, curious, and comfortable working in both office and field environments.
  • Proficient with Microsoft Office; familiarity with data or maintenance software is a plus.
  • The ability to work full-time in this temporary role for approximately 10-15 months is strongly preferred. However, candidates who are only available for a three-month summer assignment may also be considered.
  • Work authorization in the United States is required. Sappi does not provide sponsorship.

What You'll Gain
  • Real-world engineering experience in a large manufacturing environment.
  • Hands-on exposure to predictive maintenance tools and reliability methodologies.
  • Professional mentorship from experienced reliability engineers.
  • Opportunities to contribute to meaningful projects that drive operational improvements.
  • Development of technical, analytical, and leadership skills applicable to a future engineering career.

Join our team as a Reliability Engineer Intern/Co-op and gain hands-on experience supporting the performance, reliability, and longevity of mill assets. In this role, you'll work alongside experienced reliability and maintenance professionals to support predictive and preventative maintenance programs using industry-standard tools and technologies.
This opportunity is ideal for an engineering student who enjoys problem-solving, learning how complex industrial systems operate, and contributing to reliability improvements in a dynamic, real-world environment.
The successful candidate will likely start in January or June working full time M-F 8-hour days for a duration of 9-15 months. Candidates with limited availability to 3-4 months (Summer intern) may also be considered.
What You'll Do
As a Reliability Engineer Intern/Co-op, you will:
  • Support predictive and preventative maintenance activities to improve equipment reliability and uptime.
  • Assist in collecting and analyzing data from vibration monitoring, lubrication routes, infrared thermography, ultrasound, and other condition-monitoring technologies.
  • Help trend equipment condition data to identify risks, troubleshoot potential issues, and recommend corrective actions.
  • Participate in reliability improvement projects such as Root Cause Failure Analysis (RCFA), Failure Modes and Effects Analysis (FMEA), and work management enhancements.
  • Partner with operations, engineering, procurement, and maintenance teams to gain exposure to cross-functional problem-solving.
  • Support documentation efforts, reporting, and updating reliability databases and KPIs.
  • Shadow reliability engineers to learn best practices in inspection, diagnostics, and equipment health management.

What We're Looking For
  • Currently pursuing a Bachelor's degree in Mechanical, Electrical, Industrial, Manufacturing or related Engineering field.
  • Strong interest in equipment reliability, industrial systems, maintenance engineering, or data-driven problem-solving.
  • Exposure to or willingness to learn condition-monitoring technologies (e.g., vibration analysis, lubrication, infrared thermography).
  • Solid mechanical aptitude with the ability to connect data to physical equipment.
  • Strong analytical, communication, and teamwork skills.
  • Self-motivated, curious, and comfortable working in both office and field environments.
  • Proficient with Microsoft Office; familiarity with data or maintenance software is a plus.
  • The ability to work full-time in this temporary role for approximately 10-15 months is strongly preferred. However, candidates who are only available for a three-month summer assignment may also be considered.
  • Work authorization in the United States is required. Sappi does not provide sponsorship.

What You'll Gain
  • Real-world engineering experience in a large manufacturing environment.
  • Hands-on exposure to predictive maintenance tools and reliability methodologies.
  • Professional mentorship from experienced reliability engineers.
  • Opportunities to contribute to meaningful projects that drive operational improvements.
  • Development of technical, analytical, and leadership skills applicable to a future engineering career.

Salary is determined by a number of factors including the value of the job to the organization, market forces, internal equity and skills brought to the job.
Sappi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Sappi complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Salary is determined by a number of factors including the value of the job to the organization, market forces, internal equity and skills brought to the job.
Sappi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Sappi complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
ABOUT SAPPI
Sappi is a leading global provider of everyday materials made from woodfibre-based renewable resources. As a diversified, innovative and trusted leader focused on sustainable processes and products, we are building a more circular economy by making what we should, not just what we can.
HR Contact for Questions:
Name: Danna Dahn
Email: danna.dahn@sappi.com
Telephone number: 218-879-2393

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