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Fall Machine Learning Co Op Jobs in Lebanon, OH (NOW HIRING)

Fall 2026 Co-op

Middletown, OH · On-site

$15 - $17/hr

We are looking for students interested in a co-op experience for the Spring, Summer or Fall ... Each co-op will present on the culmination of their learning and experiences during the term. This ...

Fall 2026 Co-op

Milford, OH · On-site

$13.75 - $15.75/hr

We are looking for students interested in a co-op experience for the Spring, Summer or Fall ... Each co-op will present on the culmination of their learning and experiences during the term. This ...

Fall 2026 Co-op

Middletown, OH · On-site

$15 - $17/hr

We are looking for students interested in a co-op experience for the Spring, Summer or Fall ... Each co-op will present on the culmination of their learning and experiences during the term. This ...

Fall 2026 Co-op

Milford, OH · On-site

$13.75 - $15.75/hr

We are looking for students interested in a co-op experience for the Spring, Summer or Fall ... Each co-op will present on the culmination of their learning and experiences during the term. This ...

We are looking for students interested in a co-op experience for the Spring, Summer or Fall ... Each co-op will present on the culmination of their learning and experiences during the term. This ...

We are looking for students interested in a co-op experience for the Spring, Summer or Fall ... Each co-op will present on the culmination of their learning and experiences during the term. This ...

Engineering Co-op

Cincinnati, OH · On-site

$18.50 - $28.75/hr

At Thermo Fisher Scientific, our co-op program is designed to be a strategic pipeline for future ... Strong learning agility, intellectual curiosity, and an innovative mindset. * Excellent ...

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Fall Machine Learning Co Op information

See Lebanon, OH salary details

$23.3K

$38.9K

$80.4K

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

As of Sep 12, 2026, the average yearly pay for fall machine learning co op in Lebanon, OH is $38,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 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 cities near Lebanon, OH are hiring for Fall Machine Learning Co Op jobs?

Cities near Lebanon, OH with the most Fall Machine Learning Co Op job openings:

Machine Learning Engineer Co-Op

Beavercreek, OH

Etegent Technologies, LTD
Scientific Research and Development Services • 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

Description

Brief Description of Role:

If you enjoy designing innovative systems and solving real-world problems, you'll have fun working with us! Co-ops at Etegent get the opportunity to work on projects that make a difference in a wide range of exciting fields. Etegent conducts cutting edge research in areas such as:

  • Training machine learning models to find objects in radar, lidar, panchromatic, hyperspectral and vibrometry data.
  • Developing tools to reveal hidden insights in massive, diverse sets of data.
  • Curating synthetic and measured data in support of algorithm development.
  • Developing performance models for autonomous systems.
  • High-performance computing - from low swap to supercomputers.

Etegent has a long history of working with co-students to help them achieve their professional goals. In fact, many of our full-time engineers began their careers with Etegent as co-ops. We know first-hand the importance of providing co-ops with high quality learning experiences tailored to the individual's goals.


Responsibilities:

At Etegent, co-op students get the opportunity to work closely with our researchers to help develop and implement cutting edge technology. The specific tasks will vary based on the project and the individual's skills, interests, knowledge, and aptitude, but will involve developing innovative solutions to solve customer problems. 

Requirements

Minimum Qualifications:

(Our expectations will vary based on the education level of the applicant.)

  • Exposure to Python and Git.
  • Exposure to data structures and program design.
  • Comfortable working with Linux operating systems.
  • Ability to travel to our Beavercreek office at least 3 times a week.


Preferred Qualifications:

(Our expectations will vary based on the education level of the applicant.)

  • Exposure to ML/AI frameworks (e.g., PyTorch, TensorFlow).
  • Exposure to Python statistical/scientific computing packages (e.g., NumPy, Scikit-Learn).
  • Exposure to Computer Vision concepts and terminology.
  • Visual interface experience (e.g., plotly, application servers, web design).
  • Statistical pattern recognition. 
  • Expected graduation of 2030. 

Working at Etegent:

At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:

  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work! 



Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.