ZipRecruiter

Log In

1

Fall Machine Learning Co Op Jobs (NOW HIRING)

next page

Showing results 1-20

All Jobssummer JobsTechnology JobsData JobsData Scientist JobsFall Machine Learning Co Op Jobs

Fall Machine Learning Co Op information

See salary details

$25.5K

$42.6K

$88K

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

As of Aug 31, 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?

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.

More about Fall Machine Learning Co Op jobs

What cities are hiring for Fall Machine Learning Co Op jobs?

Cities with the most Fall Machine Learning Co Op job openings:

What states have the most Fall Machine Learning Co Op jobs?

States with the most job openings for Fall Machine Learning Co Op jobs include:

What job categories do people searching Fall Machine Learning Co Op jobs look for?

The top searched job categories for Fall Machine Learning Co Op jobs are:

Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Co-Op (Fall 2026)

Hendrickson USA, LLC

Canton, OH • On-site

Full-time

This job post has expired 5 days ago. Applications are no longer accepted.

Hendrickson rating

7.3

Company rating: 7.3 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

290th of 495 rated machine equipment manufacturers

Job description

Area of Accountability:
  • 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.

Major Responsibilities (may vary depending on project):
  • 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.

Minimum Qualifications:
  • 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.

Nice to have:
  • Experience with time-series/forecasting, Power BI/DAX, or introductory deep learning/LLMs.
  • Familiarity with version control (Git/GitHub) and basic cloud data tools.

*This is not a comprehensive list of duties. Duties may change without notice in management's sole discretion. Hendrickson is an at-will employer, each employee is free to resign at any time, just as Hendrickson is free to terminate employment at any time without cause or notice.
We are an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

What Hendrickson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply