[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-5-ways-to-use-2026-ai-job-lists-en":3,"article-related-5-ways-to-use-2026-ai-job-lists-en":32,"series-industry-d499a06e-b7cb-4d9a-b9cf-02ebfc12c9be":85},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"d499a06e-b7cb-4d9a-b9cf-02ebfc12c9be","5-ways-to-use-2026-ai-job-lists-en","5 ways to use 2026 AI job lists","\u003Cp data-speakable=\"summary\">This \u003Ca href=\"\u002Ftag\u002Fgithub\">GitHub\u003C\u002Fa> list tracks 2026 AI\u002FML internships and new grad jobs updated daily.\u003C\u002Fp>\n\u003Cp>If you are hunting AI roles for college or your first job, this list shows where to focus in one place. The repo has 5,364 stars and organizes openings by region, role type, and company tier.\u003C\u002Fp>\n\n\u003Ch2>1. Use it to find fresh openings fast\u003C\u002Fh2>\n\u003Cp>The biggest advantage is speed. The repository is updated daily and prioritizes jobs posted within the last 120 days, so you spend less time sorting stale listings and more time applying to roles that are still live.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780319874230-m1hj.png\" alt=\"5 ways to use 2026 AI job lists\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\n\u003Cp>That matters because internship and new grad roles can close quickly. If you check the list often, you can catch postings from companies like \u003Ca href=\"https:\u002F\u002Fwww.nvidia.com\u002F\">NVIDIA\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.meta.com\u002F\">Meta\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fwww.microsoft.com\u002F\">Microsoft\u003C\u002Fa> while they are still within the active window.\u003C\u002Fp>\n\u003Cul>\n  \u003Cli>Update cadence: daily\u003C\u002Fli>\n  \u003Cli>Freshness filter: last 120 days\u003C\u002Fli>\n  \u003Cli>Best for: students who apply early and often\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Ch2>2. Compare internship and new grad paths\u003C\u002Fh2>\n\u003Cp>The repo splits roles into internships and new graduate jobs, which makes it easier to decide whether you should target summer experience or a full-time first role. That split also helps if you are applying across class years or want to keep both options open.\u003C\u002Fp>\n\u003Cp>In the USA section alone, the list shows 190 internships and 223 new grad openings. Internationally, it shows 297 internships and 246 new grad roles, so you can compare the scale of each track before narrowing your search.\u003C\u002Fp>\n\u003Cul>\n  \u003Cli>USA internships: 190\u003C\u002Fli>\n  \u003Cli>USA new grad roles: 223\u003C\u002Fli>\n  \u003Cli>International internships: 297\u003C\u002Fli>\n  \u003Cli>International new grad roles: 246\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Ch2>3. Filter by company tier and role type\u003C\u002Fh2>\n\u003Cp>The list groups jobs into FAANG+, Quant, and Other buckets, which is useful when you want to target specific employer types. That structure \u003Ca href=\"\u002Fnews\u002Flinux-kernel-history-release-logic-en\">lets you\u003C\u002Fa> move from broad browsing to a tighter shortlist without building your own spreadsheet first.\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780319869449-mjsq.png\" alt=\"5 ways to use 2026 AI job lists\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\n\u003Cp>For example, you can scan research-heavy roles such as a \u003Ca href=\"https:\u002F\u002Fwww.tiktok.com\u002F\">TikTok\u003C\u002Fa> data science intern, a \u003Ca href=\"https:\u002F\u002Fwww.stripe.com\u002F\">Stripe\u003C\u002Fa> PhD data scientist intern, or a \u003Ca href=\"https:\u002F\u002Fwww.pinterest.com\u002F\">Pinterest\u003C\u002Fa> \u003Ca href=\"\u002Ftag\u002Fmachine-learning\">machine learning\u003C\u002Fa> intern, then compare them against quant or general tech openings.\u003C\u002Fp>\n\u003Ccode>FAANG+ → Quant → Other\nInternship → New Grad\nUSA → International\u003C\u002Fcode>\n\n\u003Ch2>4. Target AI specialties that match your resume\u003C\u002Fh2>\n\u003Cp>This is not a generic job dump. Many roles are specific to AI subfields such as multimodal systems, \u003Ca href=\"\u002Ftag\u002Freinforcement-learning\">reinforcement learning\u003C\u002Fa>, recommendation, generative AI, and data science. That helps you match the listing to your coursework, research, or project history.\u003C\u002Fp>\n\u003Cp>If your background fits model research, you can focus on PhD-oriented postings. If you are stronger in data work or applied ML, the list includes project and operations roles that still sit inside AI teams.\u003C\u002Fp>\n\u003Cul>\n  \u003Cli>Generative AI\u003C\u002Fli>\n  \u003Cli>Multimodal AI\u003C\u002Fli>\n  \u003Cli>Reinforcement learning\u003C\u002Fli>\n  \u003Cli>Recommendation systems\u003C\u002Fli>\n  \u003Cli>Data science and analytics\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Ch2>5. Use the repo as a job-search map\u003C\u002Fh2>\n\u003Cp>The README gives you direct paths into separate markdown files for each region and degree track, so the repo works like a map instead of a single page of links. That makes it easier to revisit the exact section you need without starting over.\u003C\u002Fp>\n\u003Cp>It also points students to a related software engineering list, which is handy if you want to keep AI applications moving while widening your search. For anyone balancing internships, new grad roles, and backup plans, that structure saves time.\u003C\u002Fp>\n\u003Cul>\n  \u003Cli>USA internships and new grad pages\u003C\u002Fli>\n  \u003Cli>International internships and new grad pages\u003C\u002Fli>\n  \u003Cli>Linked SWE college jobs list for broader search\u003C\u002Fli>\n\u003C\u002Ful>\n\n\u003Ch2>How to decide\u003C\u002Fh2>\n\u003Cp>If you want the fastest path to live AI openings, start with the daily-updated internship and new grad pages and sort by region first. If you already know your target area, use the FAANG+, Quant, and Other groupings to cut the list down to the employers you actually want.\u003C\u002Fp>\n\u003Cp>Choose internship pages if you are still in school and want experience. Choose new grad pages if you are ready for full-time work. If you are somewhere in between, bookmark both and use the repo as a weekly application tracker.\u003C\u002Fp>","5 ways this GitHub list helps students find 2026 AI\u002FML internships and new grad roles, with 5,364 stars and daily updates.","github.com","https:\u002F\u002Fgithub.com\u002Fspeedyapply\u002F2026-AI-College-Jobs",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780319874230-m1hj.png","industry","en","b25543ea-77c8-439e-837e-3b6150308ab3",[17,18,19,20,21,22,23],"AI jobs","machine learning internships","new grad jobs","college jobs","GitHub job list","2026 internships","data science jobs",[25,26,27],"The repo updates daily and focuses on jobs posted within the last 120 days.","It separates internships from new grad roles, making search decisions easier.","Regional and company-tier groupings help students narrow applications quickly.",2,"2026-06-01T13:17:23.915731+00:00","2026-06-01T13:17:23.901+00:00","d19fc184-5852-4c4d-9ec0-db0c4841ac17",{"tags":33,"relatedLang":44,"relatedPosts":48},[34,36,38,40,42],{"name":17,"slug":35},"ai-jobs",{"name":18,"slug":37},"machine-learning-internships",{"name":19,"slug":39},"new-grad-jobs",{"name":20,"slug":41},"college-jobs",{"name":21,"slug":43},"github-job-list",{"id":15,"slug":45,"title":46,"language":47},"5-ways-to-use-2026-ai-job-lists-zh","5 個 AI 職缺清單用法","zh",[49,55,61,67,73,79],{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":13},"af3fd811-1233-4c99-955c-ea199afd91d7","korea-nvidia-talks-ai-factory-push-en","Korea’s Nvidia talks point to an AI factory push","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781057870737-hb3x.png","2026-06-10T02:17:21.544572+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":13},"72823fc3-fb0c-41fa-ba83-83eb7cc3880b","openai-should-not-rush-its-ipo-en","OpenAI should not rush its IPO just to win the AI race","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781053364904-2rcp.png","2026-06-10T01:02:20.320813+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":13},"73c81054-d5b7-4fb9-8487-c93d603ff85b","openai-europe-privacy-policy-en","OpenAI updates its Europe privacy policy","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781052478315-n5wv.png","2026-06-10T00:47:31.644415+00:00",{"id":68,"slug":69,"title":70,"cover_image":71,"image_url":71,"created_at":72,"category":13},"60f9f257-29a3-42fc-94a0-e781cae297a0","openai-ads-sensitive-chats-policy-en","OpenAI is right to keep ads out of sensitive chats","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781051570830-gx73.png","2026-06-10T00:32:23.894911+00:00",{"id":74,"slug":75,"title":76,"cover_image":77,"image_url":77,"created_at":78,"category":13},"4410b717-f1b6-4a96-854b-60dd47cc933e","ai-bootlegs-streaming-royalties-stick-figure-en","AI bootlegs are already draining streaming royalties","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781050678990-9idm.png","2026-06-10T00:17:31.471242+00:00",{"id":80,"slug":81,"title":82,"cover_image":83,"image_url":83,"created_at":84,"category":13},"317dc8b9-9ab1-4d29-8741-a50d795f7727","amd-microsoft-windows-ml-acceleration-en","AMD and Microsoft push Windows ML on GPU and NPU","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781047979576-a01a.png","2026-06-09T23:32:31.891479+00:00",[86,91,96,101,106,111,116,121,126,131],{"id":87,"slug":88,"title":89,"created_at":90},"d35a1bd9-e709-412e-a2df-392df1dc572a","ai-impact-2026-developments-market-en","AI's Impact in 2026: Key Developments and Market Shifts","2026-03-25T16:20:33.205823+00:00",{"id":92,"slug":93,"title":94,"created_at":95},"5ed27921-5fd6-492e-8c59-78393bf37710","trumps-ai-legislative-framework-en","Trump's AI Legislative Framework: What's Inside?","2026-03-25T16:22:20.005325+00:00",{"id":97,"slug":98,"title":99,"created_at":100},"e454a642-f03c-4794-b185-5f651aebbaca","nvidia-gtc-2026-key-highlights-innovations-en","NVIDIA GTC 2026: Key Highlights and Innovations","2026-03-25T16:22:47.882615+00:00",{"id":102,"slug":103,"title":104,"created_at":105},"0ebb5b16-774a-4922-945d-5f2ce1df5a6d","claude-usage-diversifies-learning-curves-en","Claude Usage Diversifies, Learning Curves Emerge","2026-03-25T16:25:50.770376+00:00",{"id":107,"slug":108,"title":109,"created_at":110},"69934e86-2fc5-4280-8223-7b917a48ace8","openclaw-ai-commoditization-concerns-en","OpenClaw's Rise Raises Concerns of AI Model Commoditization","2026-03-25T16:26:30.582047+00:00",{"id":112,"slug":113,"title":114,"created_at":115},"b4b2575b-2ac8-46b2-b90e-ab1d7c060797","google-gemini-ai-rollout-2026-en","Google's Gemini AI Rollout Extended to 2026","2026-03-25T16:28:14.808842+00:00",{"id":117,"slug":118,"title":119,"created_at":120},"6e18bc65-42ae-4ad0-b564-67d7f66b979e","meta-llama4-fabricated-results-scandal-en","Meta's Llama 4 Scandal: Fabricated AI Test Results Unveiled","2026-03-25T16:29:15.482836+00:00",{"id":122,"slug":123,"title":124,"created_at":125},"bf888e9d-08be-4f47-996c-7b24b5ab3500","accenture-mistral-ai-deployment-en","Accenture and Mistral AI Team Up for AI Deployment","2026-03-25T16:31:01.894655+00:00",{"id":127,"slug":128,"title":129,"created_at":130},"5382b536-fad2-49c6-ac85-9eb2bae49f35","mistral-ai-high-stakes-2026-en","Mistral AI: Facing High Stakes in 2026","2026-03-25T16:31:39.941974+00:00",{"id":132,"slug":133,"title":134,"created_at":135},"9da3d2d6-b669-4971-ba1d-17fdb3548ed5","cursors-meteoric-rise-pressures-en","Cursor's Meteoric Rise Faces Industry Pressures","2026-03-25T16:32:21.899217+00:00"]