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Machine Learning Intern Jobs in Hampton, GA (NOW HIRING)

Habitat for Humanity

Construction Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Atlanta Habitat is seeking a Construction Intern to support our mission. Position Summary: This ... Learning Objectives: * Introduction to construction tools and techniques * Understanding ...

McKenney's, Inc.

Spring 2027 Quality Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

Intern As an Intern, you will be part of the team from day one and given training and tasks that are important and impactful to our projects' success. Interns in this role will learn how to identify ...

New

City of College Park, GA

Intern

College Park, GA · On-site

$14.50 - $19.25/hr

Intern Job Number: INT Department: Executive Opening Date: 01/04/2022 FLSA: Non-Exempt Summary Must be enrolled in and on track to graduate from a four-year college or university with a degree in ...

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Showing results 21-40

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Hampton, GA

Machine Learning Intern information

See Hampton, GA salary details

$25K

$41.7K

$86.2K

How much do machine learning intern jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning intern 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 are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
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 job categories do people searching Machine Learning Intern jobs in Hampton, GA look for? The top searched job categories for Machine Learning Intern jobs in Hampton, GA are:
What cities near Hampton, GA are hiring for Machine Learning Intern jobs? Cities near Hampton, GA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern 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.

Artificial Intelligence Managers

Jobs for Humanity

Atlanta, GA • On-site

Full-time

Re-posted 24 days ago

Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with PRGX Global to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: PRGX Global
Job Description

About PRGX Global, Inc
ABOUT PRGX
We provide the business intelligence to unlock incremental value from data and expand impact across our clients' organizations for healthier whole businesses. PRGX pioneered Recovery Audit nearly 50 years ago and is now the global leader in source-to-pay analytics and margin expansion. PRGX empowers clients in more than 30 countries with the business intelligence to recover $1.2 billion in annual cash flow, unlocking value and improving the overall health of organizations across the world. We collaborate with supplier communities to realize improved profits and deliver the tools to optimize processes, finding immediate and lasting value. With end-to-end technology and deep vertical expertise that underpins our recovery, preventive, and analytics solutions, we provide the actionable insights to minimize leakage, optimize cash flow, and shape stronger, healthier businesses. For additional information on PRGX, please visit www.prgx.com.
Job Description
SUMMARY: We are seeking a talented AI Intern or a co-op with Natural Language Processing (NLP) and Generative AI skillsets to join our team. This role will report to the Director, Artificial Intelligence and based out of PRGX's Atlanta office. The ideal candidate will be pursuing a Master of Science or PhD degree in a relevant field, has academic/industry experience applying NLP, artificial intelligence techniques to solve complex data problems. As a member of our AI team, you will be responsible for designing and implementing machine learning models to extract insights and drive decision making across the organization.
JOB DUTIES & RESPONSIBILITIES
- Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.
- Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions.
- Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment.
- Stay up to date with the latest research and developments in machine learning and artificial intelligence.
- Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations.
WORK EXPERIENCE AND EDUCATION REQUIREMENTS
- Current Master of Science or PhD student in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science.
- Academic/Industry experience of applying NLP, AI techniques to solve complex data problems.
- Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised learning methods.
- Experience with data preprocessing, feature engineering, and data visualization techniques.
- Proficiency in Python programming, and experience working with large unstructured data.
- Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
- Experience with agile development methodologies and version control tools such as Git.
Preferred Qualifications:
- Experience working with natural language processing (NLP) techniques.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of cloud computing platforms such as AWS, GCP, or Azure.
EEO INFORMATION AND WORKING CONDITIONS
The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of the job. PRGX will make all employment decisions without regard to race, color, national origin, citizenship status, sex, pregnancy, religion, age (age 40 and over), disability, service in the uniformed services, genetic information, or any other classification protected by federal, state, or local law.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities. The employee is occasionally required to remain stationary; move; lift and/or move up to 15 pounds. The employee must regularly sit; use hands to finger, handle, or feel; reach with hands and arms; communicate. Specific vision abilities required by this job include close vision.

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