11 Machine Learning Internships for High School Students in Georgia
High school internships give you a chance to explore areas of interest, strengthen your resume, and see how academic concepts are applied in professional settings. If you’re interested in machine learning, they provide a way to understand how data, algorithms, and computational models are used in fields like technology, healthcare, and finance. These experiences can help you decide whether machine learning fits with your academic goals before choosing a college major.
Why should I do a machine learning internship in high school?
A machine learning internship allows you to apply technical skills in a work setting. If the internship is selective, it can help colleges better understand your level of preparation and ability to work independently on complex problems. The work you complete, such as models, analyses, or technical reports, can be referenced in your college essays and interviews. For competitive computer science or STEM undergraduate programs, an internship provides support for your interest in machine learning beyond coursework.
Finding programs that are suitable for high school students can be challenging. To make it easier, we have reviewed program descriptions and institutional offerings to identify credible options. The list below highlights 11 of the top machine learning internships for high school students in Georgia.
1. GTAE Science, Technology, and Engineering Program (STEP) Summer Internship Program
Location: Georgia Institute of Technology, Atlanta, GA
Cost: Free
Acceptance rate/cohort size: Not specified
Dates: July 7 – 18
Application Deadline: March 9
Eligibility: High school students in Georgia who are at least 16 years old
The GTAE STEP Program places you in a team-based engineering environment focused on solving open-ended technical challenges connected to aerospace research. Your project may incorporate data analysis, computational modeling, or algorithmic reasoning that align with how machine learning techniques are used in engineering problem-solving. You will work through defining system constraints, evaluating data inputs, and testing design choices as part of an iterative development process. There will be faculty mentors and student guides who will support discussions around how automated decision-making and data-driven methods inform modern engineering systems. You will present your final work by explaining your design process.
2. Ladder Internships
Location: Virtual
Cost: Varies by program type
Acceptance rate/cohort size: Approximately 25%; around 100 students per cohort
Dates: Multiple cohorts throughout the year, including Spring, Summer, Fall, and Winter
Application Deadline: Deadlines vary depending on the cohort. Spring (January), Summer (May), Fall (September), and Winter (November)
Eligibility: Students who can work for 10-20 hours/week, for 8-12 weeks. Open to high school students, undergraduates, and gap year students
Ladder Internships is a virtual internship program that places you with startups and organizations working in areas such as machine learning, artificial intelligence, and data-driven technology. You are matched with a host company where you contribute to ongoing projects. In machine learning–focused roles, your work may involve data analysis, research support, model evaluation, or technical documentation, depending on the needs of the organization. You work remotely for a set number of hours each week and collaborate with company team members using online communication tools. The program includes structured guidance from a Ladder coach to support your progress throughout the internship. You document your work and project outcomes as part of the program experience. Apply now!
3. Microsoft Discovery Program
Location: Microsoft campus, Atlanta, GA
Stipend: Stipend paid, amount not specified
Acceptance rate/cohort size: Competitive
Dates: July 7 – August 1
Application Deadline: Typically late February
Eligibility: High school juniors and seniors who live and attend school within the Atlanta Public Schools, DeKalb, Fulton, Cobb, and Gwinnett County School Districts, who have completed pre-calculus or an equivalent course by the start of the program
The Microsoft Discovery Program is a four-week summer internship that places you on a Microsoft campus to explore how technology teams work on real projects within a global tech company. You will join a small team of interns and work alongside Microsoft employees to contribute to a project that involves understanding user needs, design thinking, and foundational tech practices. Through structured collaboration and regular discussions, you will gain exposure to software engineering, product management, and user experience concepts that are part of everyday work at Microsoft. The experience includes hands-on tasks where you learn by doing, such as contributing to problem exploration, project documentation, and team sessions about technical and professional skills. You will also participate in workshops and conversations that introduce you to industry tools, developmental practices, and career pathways in technology.
4. Air Force Research Library (AFRL) Scholar Program
Location: Several locations across the United States
Cost/Stipend: Stipend of $492.40 per week
Acceptance rate/cohort size: Not publicly disclosed
Dates: 10–12 weeks in the summer
Application Deadline: Varies based on the chosen site
Eligibility: High school students who are at least 16 years old
The AFRL Scholars Program is a summer research internship that places you at an Air Force Research Laboratory site to work alongside scientists and engineers. You contribute to ongoing research projects related to science, engineering, or computing, depending on the lab and research area. Some projects involve working with large datasets, simulations, or computational tools used to study complex systems. Through assigned tasks, you will see how algorithms, modeling techniques, and data-driven approaches support research and development efforts. You will work under the guidance of a mentor and participate in regular discussions about methods, results, and next steps. You’ll document your work and share updates or final results as part of the research process.
5. Naval STEM Interns | Science and Engineering Apprenticeship Program (SEAP)
Location: Several locations across the United States
Cost/Stipend: Stipend – $4,000 for new participants | $4,500 for returning participants
Acceptance rate/cohort size: Not publicly disclosed
Dates: Eight weeks in the summer
Application Deadline: November 1
Eligibility: High school students who have completed at least grade 9 and will be at least 16 years old when the internship begins
The STEM Education & Apprenticeship Program (SEA) is a summer internship that places you in a research or technical role with the U.S. Navy or Marine Corps to support science, technology, engineering, or mathematics work. You will work on projects alongside scientists and engineers, contributing to tasks such as data collection, computational analysis, or model development that support ongoing research and mission goals. Some projects involve working with large datasets, simulations, or analytical methods that connect to machine learning approaches used for pattern recognition, predictive modeling, or decision support. You’ll participate in meetings with your mentor to review progress, troubleshoot challenges, and refine your contributions. Throughout the internship, you will document what you learn and present your work within your team.
6. The Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) - Summer Research Internship
Location: Virtual
Cost/Stipend: Free
Acceptance rate/cohort size: Not specified
Dates: June 17 – June 28
Application Deadline: March 31
Eligibility: High school students who are over the age of 14
Summer Research Internship (Stanford AIMI) is a two-week, fully virtual program where you explore how artificial intelligence and machine learning are applied in healthcare settings. You will participate in daily sessions that include lectures on AI in medicine, discussions led by Stanford-affiliated researchers and student mentors, and guided exploration of current research topics. During the program, you’ll work in small groups on a collaborative project focused on the use of machine learning techniques in medical or health-related contexts. You will also attend talks from professionals working at the intersection of AI, research, and healthcare. The internship emphasizes understanding how data, algorithms, and modeling approaches are used in ongoing research rather than clinical practice. All activities are conducted online, requiring consistent participation across the program schedule. Once you complete the internship, you will also receive a Certificate of Completion at the end of the program.
7. Army Educational Outreach Program (AEOP) High School Internships
Location: Several U.S. Army Research Laboratories and Centers in the country
Cost/Stipend: Stipend available for certain positions as per centralized stipend policy; exact rates are not available.
Acceptance rate/cohort size: Not specified
Dates: May-August (6-10 weeks)
Application Deadline: Rolling
Eligibility: Current high school students who are U.S. citizens or permanent residents
The USAEOP High School Internships program places you in a research or technical setting at a federal laboratory or partner organization during the summer. You will work alongside scientists or engineers on projects that may involve data analysis, modeling, or machine learning tools used in applied research. There will be assigned tasks, which are structured around ongoing projects, allowing you to observe how large datasets, algorithms, or automated systems are used to support research objectives. You’ll participate in team meetings, document your work, and receive guidance from a designated mentor at your host site. The program introduces you to how data-driven methods are integrated into real research environments. You will also take part in orientation sessions and structured check-ins throughout the internship.
8. NASA OSTEM High School Internships
Location: Remote or in-person at NASA centers across the U.S.
Cost/Stipend: Varies based on project
Acceptance rate/cohort size: Not publicly disclosed
Dates: Spring/Fall: 16 weeks | Summer: 10 weeks (May – August)
Application Deadline: Spring: September 12 | Summer: February 27 | Fall: May 16
Eligibility: U.S. citizens aged 16+ with a GPA of 3.0+ who are full-time students
NASA internship programs place you in a research or technical role supporting projects at NASA centers or partner facilities. Your work is typically connected to datasets generated from scientific instruments, simulations, or mission operations, which are used to study aerospace systems, Earth processes, or space environments. Through assigned tasks, you’ll engage with machine learning tools that support data organization, pattern analysis, or model development within ongoing research efforts. These activities show how algorithms and automated methods are used to process large volumes of information and inform technical decisions. Your assignments follow established research workflows, including documentation, data review, and collaboration with scientists or engineers.
9. TAG-Ed High School Summer Internship
Location: Companies across Georgia
Cost/Stipend: The cost of the internship program is $2,000. Upon completing the internship, interns will receive a stipend of $1,500.
Acceptance rate/cohort size: Not publicly disclosed
Dates: 8 weeks starting June 2nd
Application Deadline: Late February to Early April
Eligibility: High school juniors and seniors aged 17 and older
The TAG-Ed High School Summer Internship Program places you in a multi-week internship with a participating STEM or technology-focused organization. You’ll work on a defined project that reflects the needs of the host company and follows professional expectations for documentation and progress. Depending on the placement, the tasks may involve working with data, using computational tools, or supporting analytical workflows common in technical environments. The internship structure emphasizes applying logic, structured problem-solving, and data-informed decision-making within workplace settings. You will receive guidance and feedback from mentors and supervisors throughout the program.
10. Aspiring Scientists Summer Internship Program (ASSIP)
Location: Virtual
Cost/Stipend: Free and unpaid; $25 application fee
Acceptance rate/cohort size: Not publicly disclosed
Dates: June 18 – August 8
Application Deadline: February 2
Eligibility: Undergraduates and high school students who are at least 15 years old
The Aspiring Scientists Summer Internship Program (ASSIP) is a summer research program that places you in a faculty-guided project at George Mason University or a partner institution. You will spend several weeks working on a research topic and following the routines used in academic research groups. Depending on the project, your work may involve handling data, using computational tools, or working with models to examine scientific questions. Some projects introduce methods related to machine learning, such as identifying patterns in data or testing algorithm-based approaches. You’ll meet regularly with your mentor to discuss progress and document your work. The program concludes with a written report and a presentation of your findings.
11. SPARK Summer Mentorship Program (SMP)
Location: Virtual opportunities available
Cost/Stipend: Free; some projects come with stipends
Acceptance rate/cohort size: Not publicly disclosed
Dates: May – August (8–12 weeks, depending on project)
Application Deadline: Varies based on project
Eligibility: High school students who are U.S. citizens or permanent residents
SPARK SMP is a summer internship that pairs you with mentors from universities and technology organizations to work on projects related to artificial intelligence, machine learning, and data science. You are matched with a mentor based on your interests and may take part in one or more projects that run for several weeks. Past projects have explored areas such as predictive analytics, disease detection, quantum computing, and weather or climate modeling. Some internships include stipends, depending on the project and sponsor. Your work may involve analyzing data, building or testing models, and examining how algorithms are used within the project.