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Machine Learning Co Op Jobs in Georgia (NOW HIRING)

Machine Learning Lead Engineer

Redan, GA ยท On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross ...

Machine Learning Lead Engineer

Atlanta, GA ยท On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross ...

Machine Learning Lead Engineer

Decatur, GA ยท On-site

$134K - $224K/yr

We are seeking a visionary Machine Learning Engineer Lead to spearhead our experimental ML ... Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross ...

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Machine Learning Co Op information

See Georgia salary details

$7

$21

$54

How much do machine learning co op jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for machine learning co op in Georgia is $21.52, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $25.00 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Co Op, and why are they important?

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.
What are the most commonly searched types of Machine Learning jobs in Georgia? The most popular types of Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Machine Learning Co Op jobs? Cities in Georgia with the most Machine Learning Co Op job openings:
Supply Chain Internship/Co-op Fall 2026

Supply Chain Internship/Co-op Fall 2026

Shaw Industries Group, Inc.

Dalton, GA โ€ข On-site

$16 - $21.50/hr

Full-time

Posted 8 days ago


Job description

Job Title
Supply Chain Internship/Co-op Fall 2026
Position Overview
Shaw Industries is looking for a curious, motivated student who enjoys learning how things work, analyzing data, and collaborating to solve complex operational challenges. Our ideal candidate is excited to work on projects that have an immediate and lasting impact on our supply chain network, brings a positive and proactive attitude, and has a strong desire to learn and grow. You'll be part of a team that values innovation, continuous improvement, and hands-on problem solving across manufacturing, distribution, and logistics.
What You'll Work On
  • Process improvement initiatives that enhance flow, reduce waste, or increase throughput
  • Data analysis to identify trends, support decisions, or improve reporting accuracy
  • Operational audits and time studies to establish baseline performance
  • System updates and documentation for standardized work and training
  • Layout updates using tools such as CAD to reflect current operations
  • Inventory and material flow reviews to improve accuracy and efficiency
  • Cross-functional projects with manufacturing, logistics, planning, and quality teams
  • Continuous improvement activities aligned with Shaw's operational excellence goals

What You'll Gain
  • Hands-on experience in a fast-paced supply chain environment
  • Exposure to manufacturing, distribution, logistics, and planning
  • Opportunities to solve real problems with measurable impact
  • Mentorship from leaders and collaboration with cross-functional teams
  • Professional development through intern programming and networking events

Requirements
  • Minimum GPA 2.5
  • Completion of at least 3 semesters of college coursework
  • Full-time student registered with your university's co-op or career services office
  • Pursuing a degree in Supply Chain Management, Industrial Engineering, Operations Management, Business Analytics, or a related field

Key Competencies
  • Motivational Fit - The extent to which activities & responsibilities of the job, the organization's mode of operation, and values provide personal satisfaction.
  • Execute Action Plan - Execute an action plan aligned with strategic objectives; ensure work is completed efficiently and on time by setting priorities, establishing timelines, and leveraging resources.
  • Influence Others - The capacity to persuade, motivate, or guide others toward achieving goals without relying solely on authority.
  • Initiate Action - Taking prompt action to accomplish work goals and achieve results beyond what is required; being proactive.
  • Adapt and Change - The ability to remain flexible, open, and effective when facing new situations, challenges, or changes in the environment.
  • Learn Continuously - The commitment to self-improvement by seeking out knowledge, feedback, and new skills throughout your career.

Work Shift
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.