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Fall Machine Learning Co Op Jobs in Atlanta, GA (NOW HIRING)

Colonial Pipeline

Corrosion Co-Op

Alpharetta, GA · On-site

Available for Fall 2026 Rotation About the Corrosion Engineering Co-Op Position Kickstart your engineering career with real-world experience that powers the East Coast. At Colonial Pipeline, we move ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Atlanta, GA

Fall Machine Learning Co Op information

See Atlanta, GA salary details

$24.5K

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$84.6K

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

As of Aug 20, 2026, the average yearly pay for fall machine learning co op in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 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 Atlanta, GA?

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What cities near Atlanta, GA are hiring for Fall Machine Learning Co Op jobs?

Cities near Atlanta, GA with the most Fall Machine Learning Co Op job openings:

Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

Spring 2027 CAD Co-opAtlanta, GA

McKenney's Inc.

Atlanta, GA • On-site

Full-time

Posted 13 days ago

McKenney's rating

9.2

Company rating: 9.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

IntroductionMcKenney's has been going strong for more than seven decades. Our culture values people and ideas, and we work together to deliver the most innovative solutions to our customers. We help you grow in your career through training and support, and as an equal opportunity employer, we provide comprehensive benefits and give you a firm foundation for the future.

Overview

As a Co-op, you will be part of the team from day one and given training and tasks that are important and impactful to our projects' success.  

Success in this role depends on the Co-op’s initiative and teamwork skills. A successful Co-op will work in a team environment to dimension and annotate CAD drawings for use in the field from drawings developed by designers and engineers that are consistent with the Revit standards set forth at McKenney’s. 

McKenney's has a long history of success in hiring Co-ops and supporting their evolution into industry leaders. Many of our current senior leaders began their journey in the Co-op program. 

Responsibilities

  • Utilize McKenney’s drafting standards to create and edit shop drawings in Revit. 
  • Utilize McKenney’s drafting standards to create and edit spool sheets for fabrication in Stratus. 
  • Dimension and annotate drawings developed by designers. 
  • Draft redline as-built drawings from project managers and field leaders in Revit. 
  • Learn layering techniques, pen weights, etc. required to produce a clear and legible drawing. 
  • Produce all documents in Bluebeam in a timely manner based on job requirements to meet the commitments to our customers, both internal and external. 

Requirements

Education and Experience:

  • Currently pursuing an Associate or Bachelor’s degree in BIM, Mechanical Engineering, Civil Engineering, or a related degree.
  • Candidates must complete at least two full-time alternating Co-op rotations before graduation and should avoid a full courseload while working, which may delay graduation.  
  • 1st Rotation: Spring 2027
  • 2nd Rotation: Fall 2027 

Knowledge, Skills, and Abilities: 

  • Ability to read and interpret architectural and structural documents. 
  • Ability to read and interpret mechanical and plumbing design and shop drawings. 
  • Strong written and verbal communication skills. 
  • Able to manage time effectively, contribute to team goals, and adapt to evolving project needs.  
  • Demonstrate a strong work ethic and commitment to learning. 
  • Possess the ability to work well as part of a team and independently. 

PREFERRED REQUIREMENTS 

  • 6 months' experience with Revit 2022 or higher. 

WORKING CONDITIONS AND PHYSICAL EFFORTS 

  • Work is normally performed in a typical interior/office environment. 
  • No or limited exposure to physical risk; occasional jobsite visits may require climbing permanent and temporary stairs/ladders, passenger use of hoists, and navigating active construction areas. 
  • Light physical effort handling average weight objects up to 50 pounds may be required occasionally. 

What McKenney's employees say

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