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

Patientco

Application Engineer Co Op

Atlanta, GA · On-site

WHAT YOU'LL DO As a Co-Op, you will be like any other Application Engineer on the team. We expect ... Education assistance opportunities and free LinkedIn Learning access * Free mental health and ...

Waystar

Application Engineer Co Op

Atlanta, GA · On-site

WHAT YOU'LL DO As a Co-Op, you will be like any other Application Engineer on the team. We expect ... Education assistance opportunities and free LinkedIn Learning access * Free mental health and ...

Waystar

Application Engineer Co Op

Atlanta, GA · On-site

WHAT YOU'LL DO As a Co-Op, you will be like any other Application Engineer on the team. We expect ... Education assistance opportunities and free LinkedIn Learning access * Free mental health and ...

McKenney's Inc.

Summer 2027 CAD Co-op*

Atlanta, GA · On-site

Overview As a Co-op, you will be part of the team from day one and given training and tasks that ... Demonstrate a strong work ethic and commitment to learning. * Possess the ability to work well as ...

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McKenney's, Inc.

Spring 2027 CAD Co-op

Atlanta, GA · On-site

JOB SUMMARY As a Co-op, you will be part of the team from day one and given training and tasks that ... Demonstrate a strong work ethic and commitment to learning. * Possess the ability to work well as ...

New

McKenney's, Inc.

Summer 2027 CAD Co-op

Atlanta, GA · On-site

JOB SUMMARY As a Co-op, you will be part of the team from day one and given training and tasks that ... Demonstrate a strong work ethic and commitment to learning. * Possess the ability to work well as ...

New

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

Machine Learning Co Op information

See Hampton, GA salary details

$25K

$41.7K

$86.2K

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

As of Aug 10, 2026, the average yearly pay for machine learning co op in Hampton, GA is $41,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 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 are the most commonly searched types of Machine Learning jobs in Hampton, GA? The most popular types of Machine Learning jobs in Hampton, GA are:
What cities near Hampton, GA are hiring for Machine Learning Co Op jobs? Cities near Hampton, 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 Hampton, GA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,688 per year, or $20 per hour.

Application Engineer Co Op

Patientco

Atlanta, GA • On-site

Part-time

Medical, Retirement, PTO

Posted 14 days ago

Job description

ABOUT THIS POSITION

We're looking for a 3-Semester Application Engineer Co-Op who wants to help simplify and unify healthcare payments across the revenue cycle. We run an agile development team with weekly sprints to quickly deliver code to our clients. Our team prides itself on rapid development, so as a Co-Op, your code will make it to production many times during your term. That's right, at Waystar, our Co-Ops actually push code into production.

WHAT YOU'LL DO

As a Co-Op, you will be like any other Application Engineer on the team. We expect you to design, develop and test new features and enhancements on our platform. To do that, you will work with peers, Team Leads, Manager, Directors and the VP of Engineering along with the wider business to build web-scale products.

This is a Co-Op opportunity for current college students only who attend a school that provides academic credit for participating in the alternating 3-term co-op program. If you are no longer in school, please consider our full-time Application Engineering opportunities.

Working knowledge of Linux, MySQL and/or any object-oriented design (PHP, Java, .Net, Ruby) is a plus. But if you're missing one of those and you're eager to learn, we'll teach you what you need to know!

  • Languages: Golang/PHP7/Ruby/Javascript
  • Javascript Frameworks: AngularJS/VueJS
  • Database: MySQL
  • Deployment: Kubernetes on AWS, using Jenkins
  • Development Tools: Atlassian Suite (JIRA, Confluence, Bamboo)

WHAT YOU'LL NEED

0-3 years' experience

Basic understanding of programming concepts

Can code in one or more general purpose programming languages;C# and.NET programming languagesarepreferred

Experience with SQL

Experience with infrastructure components such as servers, networking, load balancers, and MQ preferred

Excellent written and verbal communication skills

Ability to work in a very fast-paced environment & welcome change

Highly self-motivated

Ability to work both in team and solo environments

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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