A lot of AI/ML students wait until they feel ready before applying for internships, but in my experience, that’s the most common mistake. Companies aren’t looking for perfect engineers. They want people who have built things, made mistakes, and learned from them. In this article, I’ll share some of the highest-paying AI/ML internships hiring in November.
AI/ML Internships Hiring in November
November is a great time to apply. Many teams are planning for their next group of interns, and applications are open at startups, big tech companies, and research labs.
Here are 15 AI/ML internships you should check out, grouped by region.
Internships in India
The list for India includes both early-stage startups and a global tech company. This gives you the option to choose between hands-on roles and a research-focused environment.
- ThinkNovaa – ML Intern
- Lexsi Labs – AI Agent Engineer Intern
- Training Basket – ML Intern
- Lexsi Labs – AI Research Intern
- Sony – LLM Research Intern
A quick tip: Don’t prepare only your resume; prepare for the interviews too.
If you’re unsure what to study or how to approach AI/ML interview questions, I’ve put together a practical guide to help you get started. Find it here.
Internships in the United States
The US list includes research labs, product companies, and roles in industries beyond just tech.
- Fujitsu – Research Intern
- Unity – ML Engineer Intern
- Tronox – AI Intern
- Object – ML Engineer Intern
- PayPal – ML Engineer Intern
Internships in the United Kingdom
London offers some of the best research and GenAI internship opportunities on this list.
- Meta – Research Intern
- Tencent – GenAI Research Intern
- Transreport – AI Agent Intern
- Light – AI Engineer Intern
- Apple – ML Research Intern
How to Improve Your Chances
I’ve seen many strong candidates miss out for reasons that could have been avoided. Here’s what matters most:
- Make sure your projects fit the role. If you’re applying for an agent role, show an agent project. For a research role, share an experiment you did and what you learned. One relevant project is better than five unrelated ones.
- Upload your work to GitHub and include a clear README. Explain the problem, your approach, and your results. Most reviewers look at your explanation before checking the code.
- Customize each application. A brief, specific note about why you want to join that team is much better than sending the same cover letter everywhere.
- Apply to as many roles as you can, and do it early. Many of these positions close once they get enough applicants. Don’t wait until your resume feels perfect.
The Takeaway
You don’t have to apply to all 15. Choose three to five that fit your skills and interests, and apply to those thoughtfully. Focus on steady progress: improve your project this month, make your application stronger next month.
Every AI engineer started with one internship, one project, or one application they weren’t sure they were ready for. Open a few of these links today and send out your first application.
I hope you found this article on the highest-paying AI/ML internships in November helpful. For more tips on AI and machine learning, feel free to follow me on Instagram.
