AIMI Stanford: 9 Best Machine Learning Internships for High School Students 2025
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries, from healthcare to finance. If you're a high school student interested in AI and ML, participating in a research internship can be a great way to gain hands-on experience, mentorship, and exposure to real-world applications.
In this guide, we explore 9 of the best machine learning internships for high school students, including the Stanford AIMI Summer Research Internship, which focuses on AI applications in medicine.
1. AIMI Stanford Summer Research Internship
The Stanford Center for Artificial Intelligence in Medicine & Imaging (AIMI) offers a prestigious two-week virtual summer internship for high school students interested in AI and its applications in healthcare.
Why Choose AIMI Stanford?
Work on real-world AI & ML projects in medical imaging
Mentorship from Stanford faculty and AI researchers
Workshops on AI ethics, deep learning, and medical imaging
Certificate of Completion from Stanford AIMI
Eligibility & Application
Who can apply? High school students entering grades 9-12
Prerequisites: Basic knowledge of Python is recommended
Application deadline: Opens in December, closes in February
🔗 Apply for the AIMI Stanford Internship
2. MIT PRIMES (Program for Research in Mathematics, Engineering, and Science for High School Students)
MIT PRIMES offers a highly selective research program where students conduct original research in AI, machine learning, and computational science. Participants work alongside MIT researchers and submit projects for publication.
PRIMES runs two collaborative initiatives:
MathROOTS (a joint program with MIT Admissions) is a free two-week mathematical talent accelerator residential summer program hosted by MIT PRIMES for nationally selected high-potential high school students.
CrowdMath (a joint program with the Art of Problem Solving) is a massive online collaborative year-long research project open to all high school and college students around the world.
Key Features
Year-long, rigorous research in AI & ML
Mentorship from MIT faculty
Opportunity to publish research papers
3. NASA SEES AI Internship
The NASA STEM Enhancement in Earth Science (SEES) program offers an AI internship track, where high school students apply ML to analyze satellite imagery, climate change data, and Earth science research.
The Summer Intern Program is a nationally competitive STEM experience for high school students. Interns will learn how to interpret NASA satellite data while working with scientists and engineers in their chosen area of work, including astronomy, remote sensing, and space geodetic techniques to help understand Earth systems, natural hazards and climate science.
Why NASA SEES?
Work on AI models for space research
Mentorship from NASA scientists
Fully virtual program with hands-on projects
4. Johns Hopkins AI4ALL Program
The AI for Everyone course from Johns Hopkins Engineering Lifelong Learning is an interactive workshop for JHU faculty, staff, and external professionals seeking to understand AI’s transformative potential. With no technical experience required, participants will explore key AI principles, ethical considerations, and emerging trends shaping industries such as business, healthcare, and education.
Program Highlights
AI research projects in computer vision, NLP, and medical AI
Mentorship from Johns Hopkins AI faculty
Opportunity to present projects at the AI4ALL Symposium
5. Google Computer Science Summer Institute (CSSI)
Google’s Computer Science Summer Institute (CSSI) introduces high school students to ML, AI, and Python programming through hands-on workshops and mentorship from Google engineers.
It aims to provide an introduction to computer science for high school level students with a passion for technology. Our curriculum provides an intensive, interactive and hands-on opportunity for students with minimal exposure to CS to learn the basic concepts of programming. This content seeks to inspire the tech leaders and innovators of tomorrow by supporting the study of computer science, software engineering and other closely related subjects.
Why Google CSSI?
Learn ML and Python through interactive projects
Get mentored by Google engineers
Fully-funded scholarship program
6. Microsoft High School AI Internship
Microsoft offers a paid AI internship for high school students, where they get hands-on experience with Azure AI, machine learning models, and real-world AI applications.
During this 4-week internship, Discoverers will have the opportunity to gain hands on project experience, develop professional skills while gaining mentorship from Microsoft employees. You will discover how your passions can evolve into a career in tech at Microsoft and beyond.
Key Features
Learn AI and ML model training
Work on Microsoft AI research projects
Paid internship opportunity
🔗 Explore Microsoft’s AI Internship
7. RSI (Research Science Institute) at MIT
RSI is one of the most competitive STEM research internships, where students conduct cutting-edge AI research at MIT in fields like machine learning, robotics, and deep learning.
Participants experience the entire research cycle from start to finish. They read the most current literature in their field, execute a detailed research plan, and deliver conference-style oral and written reports on their findings.
Why RSI?
Six-week, fully-funded residential program
Conduct AI research with MIT faculty
Present research at RSI Symposium
🔗 Learn more about RSI
8. Simons Summer Research Program
Offered by Stony Brook University, this six-week AI & ML research program allows high school students to work on machine learning, AI in neuroscience, and computer vision projects.
Program Benefits
Hands-on machine learning research experience
Mentorship from leading AI researchers
Fully-funded research opportunities
🔗 Details on the Simons Research Program
9. AI Scholars at Stanford by Inspirit AI
Developed by Stanford and MIT AI researchers, AI Scholars is a four-week online AI research program that introduces students to deep learning, neural networks, and AI ethics.
Why AI Scholars?
Project-based AI learning
Taught by AI PhD researchers from Stanford
Final research presentation & certification
🔗 Apply to AI Scholars
How to Prepare for AI & Machine Learning Internships
Since AI internships are competitive, here are some ways to improve your application:
1. Take Free Online AI & ML Courses
2. Work on AI Projects
Join Kaggle’s AI challenges (Kaggle Competitions)
Create AI models using Google Colab & TensorFlow
Participate in AI hackathons like AI4ALL Hackathons
3. Strengthen Your AI Personal Statement
Check out How to Write a Strong AI Internship Personal Statement for tips on writing compelling applications.
Conclusion: Which AI Internship is Right for You?
The best machine learning internship for you depends on your interests, skill level, and career goals.
If you are interested in AI in healthcare, apply for AIMI Stanford.
If you want a highly competitive AI research experience, consider RSI at MIT.
If you are looking for an industry-focused internship, check out Microsoft’s AI Internship.
Start preparing early, gain Python & AI skills, and apply to multiple programs to increase your chances of acceptance.
About Inspirit AI
AI Scholars Live Online is a 10-session (25-hour) program that exposes high school students to fundamental AI concepts and guides them to build a socially impactful project. Taught by our team of graduate students from Stanford, MIT, and more, students receive a personalized learning experience in small groups with a student-teacher ratio of 5:1.
