If you’re a student or recent graduate looking to land a role in artificial intelligence or machine learning in 2026, there’s one GitHub repository you absolutely need to know about: 2026-AI-College-Jobs by SpeedyApply.
It’s free, it’s updated daily, and it currently lists over 1,200 AI/ML opportunities worldwide, from internships at Meta and NVIDIA to quantitative research roles paying $125/hour.
Let’s break down everything you need to know.
What Is the 2026-AI-College-Jobs Repository?
The 2026-AI-College-Jobs GitHub repo is an open-source, community-maintained job board specifically built for college students and new graduates targeting roles in AI, Machine Learning, and Data Science.
Unlike general job boards, this list is:
- Curated — only AI/ML and Data Science positions, no noise
- Updated daily — new postings added every 24 hours
- Prioritized by recency — jobs posted within the last 120 days appear first
- Organized by category — FAANG+, Quant firms, and other companies, for both US and international candidates
It currently tracks 530+ commits of updates, making it one of the most actively maintained job lists in the AI/ML space.
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How Many Opportunities Are Available Right Now?
Here’s a snapshot of what’s currently listed:
| Category | Positions Available |
|---|---|
| 🦅 US Internships | 454 |
| 🎓 US New Graduate Roles | 213 |
| 🌐 International Internships | 335 |
| 🌍 International New Graduate Roles | 201 |
| Total | 1,203+ |
Whether you’re a sophomore looking for your first AI internship or a PhD graduate hunting for a research scientist role, there are opportunities across every level.
Who Is This Job List For?
The repository targets three main profiles:
1. Undergraduate and Master’s students seeking summer internships at tech companies, startups, or research labs — in AI, ML, Data Science, and related fields.
2. PhD students and postdocs looking for research scientist internships at companies like Meta FAIR, NVIDIA, Uber, Roblox, and Citadel.
3. New graduates (BS, MS, PhD) ready to transition into full-time AI/ML roles at both established companies and high-growth startups.
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Featured Companies and Salary Ranges
FAANG+ Highlights
Some of the biggest names currently hiring include:
- Meta — Research Scientist Internships across Computer Vision, NLP, Robotics, Multimodal AI, and more (~$50/hr)
- NVIDIA — Agentic AI, Deep Learning, and HPC Engineering Internships (~$62/hr)
- Adobe — AI/ML Machine Learning Engineer Internships (~$55/hr)
- Roblox — Applied Scientist and Data Scientist PhD Internships (~$64/hr)
- Uber — Applied Scientist and Data Science Internships (~$67/hr)
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Quant Firms: The Highest-Paying Roles
If you have a strong quantitative background, the quant finance sector offers some of the most competitive compensation in the industry:
- Citadel — ML Researcher, Quantitative Researcher, and Research Analyst internships at $125/hr
- Citadel Securities — Similar roles at the same rate
- Jump Trading — Campus AI Researcher (PhD/Postdoc) at $138/hr
Other Notable Companies Hiring
The “Other” category is massive and spans industries you might not expect:
- Pharma & Biotech: Genentech, Amgen, Sanofi, Johnson & Johnson, Biogen
- Finance: S&P Global, Thomson Reuters, State Street, Bank of Montreal
- Automotive & Robotics: Woven by Toyota, Nissan, Nuro
- Government & Research: IMF, National Renewable Energy Laboratory, Penn State
- Consumer Tech: Spotify, Dropbox, Snap, Instacart, Samsung
This breadth means that even if you’re not targeting Silicon Valley, there are strong opportunities in healthcare AI, climate tech, defense, and financial services.
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How Is the List Organized?
The repository is split into four main files, making it easy to navigate:
README.md— US internship list (FAANG+, Quant, Other)NEW_GRAD_USA.md— US new graduate positionsINTERN_INTL.md— International internship positionsNEW_GRAD_INTL.md— International new graduate positions
Each listing includes the company name, job title, location, salary (where available), a direct application link, and how recently the job was posted, so you can prioritize the freshest opportunities.
Tips for Using This Resource Effectively
Getting the most out of this repository requires a bit of strategy:
1. Check it regularly. The list is updated daily. Set a reminder to review new postings at least 2-3 times per week during peak hiring season.
2. Filter by age. Postings are labeled with how many days ago they were added (e.g., “1d”, “7d”, “30d”). Prioritize applying to roles posted within the last 2 weeks for the best response rates.
3. Don’t sleep on the “Other” category. While FAANG roles get the most attention, companies like Toyota Research Institute, Reality Defender, d-Matrix, and MatX often have less competition and equally interesting technical challenges.
4. Tailor your resume for each role. Use keywords from each job description, terms like “LLM fine-tuning,” “computer vision,” “reinforcement learning,” or “data pipeline”, to pass automated resume screening.
5. Star the repository on GitHub. This way you’ll receive notifications whenever the list is updated.
Why This Matters for Your AI Career
The AI job market in 2026 is competitive, but it rewards candidates who prepare and act proactively. This repository levels the playing field by pulling hundreds of opportunities into one place, so you stop wasting hours hunting across dozens of company career pages.
More importantly, the diversity of companies, from hedge funds to biotech labs to government agencies, proves just how broadly the industry now values AI skills. Machine learning expertise no longer belongs to tech companies alone; every industry now runs on it.
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Conclusion: Bookmark This, Then Apply
The 2026-AI-College-Jobs GitHub repository is one of the most practical, up-to-date resources available for students and new grads targeting AI and ML careers. With over 1,200 curated opportunities across the US and internationally, updated daily, it removes one of the biggest friction points in the job search: finding where to apply.
Save it. Share it. And start applying.
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