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

Saige

Marketing Intern

Atlanta, GA · On-site

$15 - $19.75/hr

... and machine learning to recommend meals, which we then cook out of our commercial kitchen and ... intern, you are also entitled to $25 in food credits for each week with at least 15 hours worked.

Saige

Marketing Intern

Atlanta, GA · On-site

$15 - $19.75/hr

... and machine learning to recommend meals, which we then cook out of our commercial kitchen and ... intern, you are also entitled to $25 in food credits for each week with at least 15 hours worked.

Finastra

AI Engineer Intern (Summer 2027)

Atlanta, GA · On-site +1

As an AI Engineer Intern at Finastra, you will gain hands-on experience working with cutting-edge ... Foundational understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts.

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

The program is designed to support research and advanced development techniques for Artificial Intelligence (AI) and Machine Learning (ML). What you will do: * Enable building the AI/ML prototypes ...

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Showing results 21-40

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

Machine Learning Intern information

See Decatur, GA salary details

$24.9K

$41.6K

$85.9K

How much do machine learning intern jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning intern in Decatur, GA is $41,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 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.

More about Machine Learning Intern jobs

What are the most commonly searched types of Machine Learning jobs in Decatur, GA?

The most popular types of Machine Learning jobs in Decatur, GA are:

What job categories do people searching Machine Learning Intern jobs in Decatur, GA look for?

The top searched job categories for Machine Learning Intern jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Machine Learning Intern jobs?

Cities near Decatur, GA with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,576 per year, or $20 per hour.

Graduate Intern, Artificial Intelligence & Data Science - Summer 2027

Atlanta, GA • On-site

HD Supply
Wholesale • 5 - 10K employees
Learn more about HD Supplyexternal

Full-time

Posted 7 days ago

HD Supply rating

7.7

Company rating: 7.7 out of 10

Based on 156 frontline employees who took The Breakroom Quiz

158th of 430 rated retail wholesalers

Job description

About the Role
HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.
As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.
The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intelligent automation, large language models (LLMs), agentic AI, and decision-support solutions. Interns will gain exposure to enterprise-scale datasets, cloud-based analytical environments, and the practical application of AI technologies within a large, complex organization.
This internship is designed for graduate-level talent seeking hands-on experience translating advanced analytics and AI concepts into measurable business outcomes.
Key Responsibilities
  • Analyze large and complex datasets to identify trends, opportunities, and business insights.
  • Support the development, testing, and refinement of machine learning and AI models.
  • Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
  • Develop visualizations, dashboards, reports, and presentations to communicate findings.
  • Partner with business stakeholders to understand challenges and translate them into analytical solutions.
  • Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
  • Document methodologies, assumptions, findings, and recommendations.
  • Present project outcomes and insights to technical and non-technical audiences.

Required Qualifications
  • Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
  • Anticipated graduation date of December 2027 or May 2028.
  • Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
  • Proficiency in Python, SQL, or other analytical programming languages.
  • Strong analytical, quantitative, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
  • Ability to work independently and collaboratively in a team environment.

Preferred Qualifications
  • Previous full-time professional work experience, internship experience, or relevant industry experience in analytics, data science, software engineering, artificial intelligence, machine learning, or a related field.
  • Experience developing machine learning models or AI solutions through academic research, professional work, internships, or personal projects.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Familiarity with large language models (LLMs), generative AI frameworks, or agentic AI applications.
  • Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
  • Exposure to MLOps, model monitoring, experimentation frameworks, or deployment practices.
  • Experience working with large-scale datasets and advanced statistical techniques.

Job Summary
Gain hands-on experience in areas such as marketing, human resources, information technology, sales, operations, finance, logistics, business development, merchandising, and/or other departments.
Major Tasks, Responsibilities, and Key Accountabilities
  • Prepares and delivers insights and recommendations based on analyses.
  • Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.
  • Executes tasks directly related to functional projects and/or process improvements.
  • Communicates issues and roadblocks related to areas of responsibility.
  • May assist in research or special projects in a variety of areas in order to fulfill business initiatives and meet business objectives.

Nature and Scope
  • Works in compliance with established procedures and/or protocols. Identifies and resolves readily identifiable, clearly defined problems. Demonstrates skill in data analysis and techniques by resolving missing/incomplete information and inconsistencies/anomalies in routine research/data.
  • Nature of work requires general supervision; exercises judgment. May be paired with a mentor. Work typically involves regular process checks or review of output by a coworker and/or supervisor.
  • May provide general guidance/direction to or train junior level support personnel.

Work Environment
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
  • Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds).
  • Typically requires overnight travel less than 10% of the time.

Education and Experience
  • Typically requires BS/BA in a related discipline. Certification may be required in some areas. Generally 0-2 years of experience in a related field OR MS/MA and generally 0-1 year of experience in a related field.

Our Goals for Diversity, Equity, and Inclusion
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
Equal Employment Opportunity
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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