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Machine Learning Intern Jobs in Georgia (NOW HIRING)

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.50 - $19.25/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... Job Duties & Responsibilities • Apply machine learning algorithms and statistical models to large ...

Artificial Intelligence Intern

Atlanta, GA · On-site

$14.25 - $19/hr

Job Title Artificial Intelligence Intern Employment Type Temporary Work Authorization Requirements ... Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Showing results 41-60

Machine Learning Intern information

See Georgia salary details

$21.5K

$36K

$74.3K

How much do machine learning intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning intern in Georgia is $35,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,400.00 and $38,800.00 per year, depending on experience, location, and employer.

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 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.

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 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 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 are the most commonly searched types of Machine Learning jobs in Georgia?

The most popular types of Machine Learning jobs in Georgia are:

What are popular job titles related to Machine Learning Intern jobs in Georgia?

For Machine Learning Intern jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Machine Learning Intern jobs?

Cities in Georgia with the most Machine Learning Intern job openings:

Infographic showing various Machine Learning Intern job openings in Georgia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 69% Full Time, 23% Part Time, and 6% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $35,957 per year, or $17.3 per hour.

Artificial Intelligence Intern

Atlanta, GA • On-site

PRGX Global, Inc
Finance and Insurance • 1 - 5K employees

$14.25 - $19/hr

Internship

Posted 6 days ago


Job description

Job Title

Artificial Intelligence Intern

Employment Type

Temporary

Work Authorization Requirements

Must be authorized to work in the United States

Language Requirements

English

 

About PRGX

PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients.  For more information about PRGX, visit www.prgx.com.

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.

·       Other duties as assigned.

Knowledge & Qualifications

·       Current Master of Science of PhD student in 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.

·       Experience working with natural language processing (NLP) techniques preferred.

·       Familiarity with deep learning frameworks such as TensorFlow or PyTorch preferred.

·       Knowledge of cloud computing platforms such as AWS, GCP, or Azure preferred.

Our Commitment to Equal Opportunity

PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices.

Physical Requirements

Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication

Data Privacy

Your personal data will be handled in accordance with applicable data protection laws.  We only collect information necessary for recruitment and will not share your data without your consent.