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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 ...

Ancestry

Machine Learning Engineer, Co-op

Lehi, UT · Remote

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using ...

Ancestry

Machine Learning Engineer, Co-op

As a Machine Learning Engineer Co-Op on the MLE team, you will work on integrating ML models and Generative AI (GenAI) models, enabling ML/LLM-powered applications, and developing AI agents using ...

True Manufacturing

AI Analyst Co-op

O Fallon, MO

$23/hr

Other duties may be assigned. * Assist in developing, training, and evaluating machine learning and ... The AI Analyst Co-op is an office-based role. Regular, predictable on-site attendance is required.

True Manufacturing

AI Analyst Co-op

O Fallon, MO · On-site

Other duties may be assigned. * Assist in developing, training, and evaluating machine learning and ... The AI Analyst Co-op is an office-based role. Regular, predictable on-site attendance is required.

True Manufacturing

AI Analyst Co-op

O Fallon, MO · On-site

$23/hr

Other duties may be assigned. * Assist in developing, training, and evaluating machine learning and ... The AI Analyst Co-op is an office-based role. Regular, predictable on-site attendance is required.

True Manufacturing

AI Analyst Co-op

O Fallon, MO

Other duties may be assigned. * Assist in developing, training, and evaluating machine learning and ... The AI Analyst Co-op is an office-based role. Regular, predictable on-site attendance is required.

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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 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.

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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What cities are hiring for Fall Machine Learning Co Op jobs? Cities with the most Fall Machine Learning Co Op job openings:
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Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, and 80% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Co-Op (Fall 2026)

Machine Learning Co-Op (Fall 2026)

Hendrickson

Canton, OH • On-site

Full-time

Posted 24 days ago

Hendrickson rating

7.5

Company rating: 7.5 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

214th of 421 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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