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

Ametek

AI Automation Co-Op

Suwanee, GA · On-site

$96K - $127K/yr

We are seeking an enthusiastic and forward-thinking co-op student to drive hands-on projects that ... Familiarity with python-based machine learning tools (e.g. scikit-learn, pytorch) * Pursuing a ...

Colonial Pipeline

Asset Integrity Co-Op

Alpharetta, GA · On-site

$16.25 - $21.25/hr

Each rotation builds on the last, offering increasing responsibility and deeper learning. At ... What an Asset Integrity Engineering Co-Op might learn and do: * Understand pipeline systems ...

Ametek

AI Automation Co-Op

Suwanee, GA · On-site

$96K - $127K/yr

We are seeking an enthusiastic and forward-thinking co-op student to drive hands-on projects that ... Familiarity with python-based machine learning tools (e.g. scikit-learn, pytorch) * Pursuing a ...

Coca-Cola

Co-Op - Engineering Technician

Atlanta, GA

$21/hr

Co-Op - Engineering Technician Please be advised that this role is a contracted position, and ... in continuous learning to improve our business and ourselves. We focus on four key behaviors ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Atlanta, GA

Machine Learning Co Op information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

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

As of Jul 26, 2026, the average yearly pay for 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 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 Atlanta, GA? The most popular types of Machine Learning jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Machine Learning Co Op jobs? Cities near Atlanta, GA with the most Machine Learning Co Op job openings:
Machine Learning Co Op jobs near you
Infographic showing various Machine Learning Co Op job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.
Hydraulic Engineer Co-Op

Hydraulic Engineer Co-Op

Colonial Pipeline Company

Alpharetta, GA • On-site

$79K - $104K/yr

Full-time

Life, Retirement

Posted 4 days ago

Colonial Pipeline rating

8.6

Company rating: 8.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

10th of 86 rated oil and gas companies

Job description

Colonial has provided a wide range of opportunities for job candidates who are highly qualified, skilled, motivated and team players. Employees find exciting opportunities to grow and develop their careers at a stable company which offers a generous compensation and benefits package that includes annual incentive bonuses, retirement plans, insurance coverage and a host of other features that support a happy, active, productive and rewarding life. Come to Colonial, a great place to work, where people matter most, and where safety 24/7 is paramount.
Ready to work for Colonial Pipeline Company?
Are you intrigued by the thought of being part of revolutionizing the energy industry and a new era in the pipeline industry? Do you want to be a part of a company that is obsessed with excellence in everything we do? A company growing and expanding our business that is full of opportunity? If so, we are seeking smart, safety focused, and energetic professionals to join our team to help us to the next level of excellence!
What is it that we do at Colonial Pipeline Company?
Colonial Pipeline is the largest refined products pipeline in the United States, transporting more than 100 million gallons or 2.5 million barrels per day. Colonial transports various grades of gasoline, diesel fuel, home heating oil, jet fuel, and fuels for the U.S. military through a pipeline system. Colonial transports approximately 45 percent of all fuel consumed on the East Coast, providing refined products to more than 50 million Americans.
Available for Fall 2026 Rotation
Hydraulic Engineering Co-Op
Apply your engineering coursework to real-world pipeline hydraulic systems.
At Colonial Pipeline, we move over 100 million gallons of fuel every day, supporting nearly 45% of all fuel consumed on the East Coast. As a Hydraulic Engineering Co-Op, you'll combine classroom learning with hands-on engineering experience supporting the safe, efficient, and reliable operation of one of the nation's most critical energy infrastructure systems.
This co-op is designed to support engineering students seeking in-depth technical exposure, mentorship, and real responsibility over multiple rotations. You'll work alongside experienced hydraulic engineers while developing skills that directly align with a future full-time engineering career.
About the Hydraulic Engineering Team
Hydraulic Engineering at Colonial focuses on pipeline system modeling, operational analysis, and system optimization to ensure safe and compliant energy transportation. The team partners closely with operations, integrity, and project teams to support sustainable growth and day-to-day pipeline performance.
As a co-op, you'll gain exposure to how hydraulic engineering decisions directly impact real-world operations-well beyond textbook problems.
What You'll Do:
With guidance from an experienced engineering mentor, you may:
  • Apply fluid mechanics and hydraulic principles to operating pipeline systems
  • Assist with hydraulic modeling and simulations supporting pipeline optimization and operational decisions
  • Learn Colonial Pipeline's engineering standards, modeling tools, and regulatory requirements
  • Support system analysis and evaluate data related to flow, pressure, and operating conditions
  • Become familiar with pipeline layouts, system components, and operating philosophies
  • Collaborate with engineering, operations, and compliance partners as a technical contributor
  • Observe field activities or participate in site walkdowns to understand system behavior firsthand
  • Assist with small-scale analysis, enhancements, or engineering tasks under mentor supervision
  • Use engineering and document management systems to track and file completed work
  • Build a technical and professional portfolio throughout your co-op rotations
  • Present an end-of-term summary of work and learning outcomes to supervisors and stakeholders
  • Participate in feedback sessions to support continuous learning and development

What You Bring:
  • Currently pursuing a Bachelor's degree in Engineering (Mechanical, Chemical, Civil, or related discipline) from an accredited university
  • Interest in hydraulics, fluid mechanics, or pipeline engineering
  • Coursework or project experience related to fluid flow, modeling, or engineering analysis
  • Strong analytical and problem-solving skills
  • Ability to learn technical concepts and apply them in real-world environments
  • Strong attention to detail with effective written and verbal communication skills
  • Proficiency in MS Word, Excel, and PowerPoint
  • Ability to manage priorities and organize tasks in a professional setting
  • Willingness to travel occasionally to support learning or project activities
  • A positive, collaborative attitude with a strong commitment to safety

Our Culture
At Colonial Pipeline, we value Respect, Accountability, Innovation, Safety, and Excellence. We're committed to creating an inclusive environment where students are supported, challenged, and empowered to grow as engineers.
Why You'll Love Working With Us
Co-Opping at Colonial means you get more than experience-you get support, growth, and financial benefits:
  • Signing Bonus
  • Paid Personal Time
  • Housing Assistance
  • Travel & Transportation Support
  • Meaningful, hands-on engineering experience
  • A company culture built on safety, innovation, and teamwork

Ready to Get Started?
If you're looking for a Hydraulic Engineering Co-Op that connects your coursework to real infrastructure and long-term career opportunity, we'd love to meet you.
Apply today and take the next step in your engineering journey
Colonial Pipeline is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status or any other reason prohibited by federal, state or local law.
Statement to all Third-Party Agencies and Similar Organizations:
Colonial Pipeline accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Colonial Pipeline employees, hiring managers, or send to any Colonial Pipeline facility. Colonial Pipeline is not responsible for any fees or charges associated with unsolicited resumes.

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