12 AI/ML Internships Open Right Now

The artificial intelligence job market is changing quickly. We are now past the early excitement about Generative AI and are seeing more real-world applications. If you are a student or just starting your career in Data Science, Machine Learning, or AI Engineering, an internship is one of the best ways to move from classroom learning to hands-on experience. In this article, I’ll share 12 AI/ML internships that are currently open.

AI/ML Internships Open Right Now

Here is a list of 12 great AI/ML internships that are open now. I’ve grouped them by region to help you focus your applications.

  1. Onsurity – AI Intern 🇮🇳
  2. Crisil – GenAI Intern 🇮🇳
  3. Peakflo – ML Engineer Intern 🇮🇳
  4. Lensa – GenAI Intern 🇺🇸
  5. Adobe – ML Engineer Intern 🇺🇸
  6. Planet – AI/ML Engineer Intern 🇺🇸
  7. Samsung – AI Intern 🇬🇧
  8. Amazon – AI/ML Intern 🇬🇧
  9. Apple – Computer Vision Intern 🇬🇧
  10. Pinterest – ML Intern 🇨🇦
  11. Tesla – ML Intern 🇩🇪
  12. Apple – ML Intern 🇩🇪

Pro Tip: Before you interview at companies like Pinterest or Adobe, take some time to read their engineering blogs and learn about their systems. If you can talk about their technology in the interview, you’ll stand out from other candidates.

Closing Thoughts

That’s my list of AI/ML internships that are currently available.

Getting started in AI and ML can be tough because the technology changes so quickly. It’s easy to spend too much time on tutorials and try to learn every new tool. The best thing you can do is focus on being consistent and learning the basics. Tools will come and go, but the main ideas behind statistical learning, solid software engineering, and writing clean code will always matter.

If you found this article helpful, you can follow me on Instagram for daily AI tips and practical resources. You may also be interested in my latest book, Hands-On GenAI, LLMs & AI Agents, a step-by-step guide to prepare you for careers in today’s AI industry.

Aman Kharwal
Aman Kharwal

AI/ML Engineer | Published Author. My aim is to decode data science for the real world in the most simple words.

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