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Fall Machine Learning Co Op Jobs in Minneapolis, MN

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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Fall Machine Learning Co Op information

See Minneapolis, MN salary details

$26.6K

$44.4K

$91.9K

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

As of Aug 28, 2026, the average yearly pay for fall machine learning co op 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 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 Minneapolis, MN?

For Fall Machine Learning Co Op jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in Minneapolis, MN look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Fall Machine Learning Co Op jobs?

Cities near Minneapolis, MN with the most Fall Machine Learning Co Op job openings:

Graduate Level Co-op - Data Scientist - Plymouth, MN - January 2027

Philips

Plymouth, MN

$33 - $48/hr

Full-time

Posted 6 days ago


Philips rating

8.3

Company rating: 8.3 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

36th of 159 rated electronics manufacturers


Job description

Job TitleGraduate Level Co-op - Data Scientist - Plymouth, MN - January 2027Job Description

Graduate Level Co-op - Data Scientist - Plymouth, MN - January 2027

Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing a graduate (MS/PhD) degree to participate in a 6-9 month paid co-op opportunities at our site in Plymouth, MN. Through this role you will gain meaningful, hands-on experience working for a HealthTech company.

Your role:

Join our high-performing Software Engineering team within the Image Guided Therapy Devices (IGT-D) Software R&D group. As a Data Scientist co-op,

you will support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications. You will work closely with AI/ML engineers, data scientists, software engineers, product owners, testers, and cross-functional stakeholders to help improve the quality, reliability, traceability, and performance of data and AI/ML models used in medical device software.

This is a great way to spend your spring/summer gaining practical experience in healthcare technology, medical imaging data, machine learning workflows, and regulated medical device software development, while contributing to technology that can improve clinical workflow efficiency for physician customers and support better outcomes for patients.

  • Work closely with a member of the Software and AI/ML Engineering team to work on a focused project that can be completed during the co-op.
  • Support gathering, processing, organizing, and analyzing raw data from different sources, with a focus on clinical imaging or healthcare-related datasets.
  • Assist with exploratory data analysis to identify patterns, trends, data quality issues, unexpected results, or potential preprocessing concerns.
  • Help verify the quality, consistency, and reliability of data sources used for AI/ML model development and validation.
  • Support documentation of data sources, data cleaning processes, exploratory analysis, assumptions, parameters, and performance metrics.
  • Assist data scientists and machine learning engineers with model training, evaluation, tuning, and performance analysis under the guidance of experienced team members.
  • Complete required training necessary to comply with regulatory requirements and quality management system standards.
  • Create and present an end-of-summer intern presentation summarizing your project, technical approach, results, learnings, and impact.

You're the right fit if:

  • Pursuing a master's degree or doctorate (Ph.D preferred) in computer science, computer engineering, or a related field.
  • Experience working with deep learning frameworks like PyTorch, TensorFlow etc. and CNNs like UNet, ResUNet etc.
  • Strong understanding of medical imaging standards and formats (e.g., DICOM, NIfTI) and familiarity with data management tools specific to imaging (e.g., PACS, cloud-based storage for imaging data).
  • Experience in managing medical imaging databases and understanding of how imaging data is used in AI/ML model development.
  • Good problem solving and debugging skills.
  • Team player with good communication, technical writing and presentation skills.
  • Willing and capable of working on-site in the office at our Plymouth, MN site.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.

This is an office role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.

  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details

The hourly pay range for this position is $33.00 to $48.00, plus overtime eligible. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.

Details about our benefits can be found here.

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.

Additional Information

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, MN.

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.


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