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Fall Machine Learning Co Op Jobs (NOW HIRING)

Atlas Roofing Corporation

Data Engineer Co-Op

Meridian, MS · On-site

$21 - $25/hr

Design, develop, and deploy machine learning models to support predictive analytics, classification ... Data Engineer Co-op Required Skills & Qualifications * Second-semester freshman standing or higher ...

True Manufacturing

AI Analyst Co-op

O Fallon, MO · Hybrid

We are seeking a motivated AI Analyst Co-op to join our team and support the design, development, and deployment of artificial intelligence and machine learning solutions. This role offers hands-on ...

True Manufacturing

AI Analyst Co-op

O Fallon, MO · On-site

$23/hr

We are seeking a motivated AI Analyst Co-op to join our team and support the design, development, and deployment of artificial intelligence and machine learning solutions. This role offers hands-on ...

True Manufacturing

AI Analyst Co-op

O Fallon, MO · Hybrid

$23/hr

We are seeking a motivated AI Analyst Co-op to join our team and support the design, development, and deployment of artificial intelligence and machine learning solutions. This role offers hands-on ...

True Manufacturing

AI Analyst Co-op

O Fallon, MO · Hybrid

We are seeking a motivated AI Analyst Co-op to join our team and support the design, development, and deployment of artificial intelligence and machine learning solutions. This role offers hands-on ...

Exact Sciences

AI Intern - Co-op Fall 2026

Madison, WI · On-site

$35K - $56K/yr

This 6 month co-op internship offers an exceptional opportunity to gain hands-on experience in ... Essential Duties * Assist in the development, training, and evaluation of AI and machine learning ...

Exactsciences

AI Intern - Co-op Fall 2026

Madison, WI

$35K - $56K/yr

This 6 month co-op internship offers an exceptional opportunity to gain hands-on experience in ... Essential Duties * Assist in the development, training, and evaluation of AI and machine learning ...

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

As of Jun 9, 2026, the average yearly pay for fall machine learning co op in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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.

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.

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Fall Machine Learning Co Op jobs near you
Machine Learning Co-Op (Fall 2026)

Machine Learning Co-Op (Fall 2026)

Hendrickson

Canton, OH • On-site

Full-time

Posted 2 days ago

Hendrickson rating

7.5

Company rating: 7.5 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

207th of 417 rated machine equipment manufacturers

Job description

Job Summary:
Hendrickson is seeking a Machine Learning Co-Op for Fall 2026. The role involves partnering with stakeholders to define problems and deliver datasets, analyses, and ML prototypes while maintaining data quality and documentation standards.
Responsibilities:
• Partner with stakeholders to define problems, requirements, and success metrics (KPIs).
• Deliver reliable datasets, analyses, dashboards, and ML prototypes that address those needs.
• Communicate progress, risks, and results clearly to technical and non-technical audiences.
• Maintain data quality, documentation, and reproducibility standards.
• Run discovery (interviews, process mapping) and translate findings into clear requirements.
• Build and maintain clean datasets with SQL/Python; create visuals/dashboards (e.g., Power BI).
• Prototype and evaluate predictive/time-series models; document methods and results.
• Demo work, gather feedback, iterate, and prepare simple handoffs for reuse.
• Perform other duties as assigned.
Qualifications:
Required:
• Working toward a bachelor's degree in a major related to machine learning (e.g. computer science, statistics, mathematics, engineering, or a closely related field).
• Strong communicator and facilitator; comfortable writing clear docs.
• Familiar with Python and SQL; solid grasp of basic statistics and model evaluation.
• Organized, curious, and able to manage multiple projects and deadlines.
Preferred:
• Experience with time-series/forecasting, Power BI/DAX, or introductory deep learning/LLMs.
• Familiarity with version control (Git/GitHub) and basic cloud data tools.
Company:
Hendrickson is a designer and manufacturer of suspension systems and components for heavy-duty trucks. Founded in 1913, the company is headquartered in Itasca, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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