{"id":1059648,"date":"2024-09-24T02:50:07","date_gmt":"2024-09-24T09:50:07","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-job-opportunity&p=1059648"},"modified":"2026-04-01T07:47:42","modified_gmt":"2026-04-01T14:47:42","slug":"research-intern-for-general-artificial-intelligence-group","status":"publish","type":"msr-job-opportunity","link":"https:\/\/www.microsoft.com\/en-us\/research\/opportunity\/research-intern-for-general-artificial-intelligence-group\/","title":{"rendered":"Research Intern for General Artificial Intelligence Group"},"content":{"rendered":"\n\n\n

Number of Openings:<\/strong> Multiple<\/p>\n\n\n\n

Location:<\/strong> Beijing\/Vancouver<\/p>\n\n\n\n

Group Introduction:<\/strong><\/p>\n\n\n\n

The General Artificial Intelligence (GenAI) Group is focusing on research of Large Foundation Models and General AI, Natural Language Processing, Speech Processing, Multimodal AI, and AI Agent.<\/p>\n\n\n\n

In the past few years, we have published and open sourced pioneering and high-impact research works and models, including UniLM, InfoXLM, XLM-E, MiniLM(-2), (m)E5, Layout(X)LM(-3), WavLM, BEiT(-3), Kosmos(-2), VALL-E, DeepNet, LongNet, (Gated) RetNet, YOCO \/ Decoder-Decoder Architecture, 1-bit LLMs \/ BitNet (b1.58), Q-Sparse \/ Fully Sparsely-Activated LLMs, …<\/p>\n\n\n\n

More information about our research at https:\/\/aka.ms\/GeneralAI (opens in new tab)<\/span><\/a>.<\/p>\n\n\n\n

Job Responsibilities:<\/strong><\/p>\n\n\n\n

    \n
  1. Participate in fundamental research and development of Large Language Models and Multimodal Large Language Models.<\/li>\n\n\n\n
  2. Participate in fundamental research for Artificial General Intelligence.<\/li>\n\n\n\n
  3. Participate in fundamental research for Natural Language Processing, Speech Processing, and Multimodal AI.<\/li>\n\n\n\n
  4. Design and implement models to solve real-life problems in product scenarios.<\/li>\n\n\n\n
  5. Participate in writing and publishing research papers.<\/li>\n<\/ol>\n\n\n\n

    Qualifications:<\/strong><\/p>\n\n\n\n

      \n
    1. Bachelor, Master, or PhD degree in Computer Science, Software Engineering, Electronic Engineering, or other related fields; Applicants from fundamental disciplines (Mathematics, Physics, etc.) are also welcome to apply.<\/li>\n\n\n\n
    2. Solid mathematical and problem-solving skills; Preference will be given to candidates with a research background in Artificial Intelligence, Machine Learning, Natural Language Processing, Speech Processing, Computer Vision, or Multimodal AI.<\/li>\n\n\n\n
    3. Excellent programming skills.<\/li>\n\n\n\n
    4. Quick learning ability.<\/li>\n\n\n\n
    5. Proficiency in using English as a working language.<\/li>\n\n\n\n
    6. Strong communication skills and team collaboration spirit.<\/li>\n\n\n\n
    7. Written consent from your academic advisor.<\/li>\n<\/ol>\n\n\n\n

      Internship Duration Requirements:<\/strong><\/p>\n\n\n\n

      Must obtain permission from your academic advisor and commit to at least three months of internship.<\/p>\n\n\n\n

      Please be sure to download and complete the application form (Application form link: https:\/\/aka.ms\/InternApplication (opens in new tab)<\/span><\/a>) and send it along with a complete English and Chinese resume (in PDF\/Word format) to: MSRAih@microsoft.com<\/a>. Please include “Research Intern for [General Artificial Intelligence]” in the email subject line.<\/p>\n\n\n\n

       <\/p>\n\n\n\n

       <\/p>\n\n\n\n

      \u5c97\u4f4d\u540d\u79f0\uff1a<\/strong>\u901a\u7528\u4eba\u5de5\u667a\u80fd\u7ec4\u7814\u7a76\u5b9e\u4e60\u751f<\/p>\n\n\n\n

      \u5de5\u4f5c\u6027\u8d28\uff1a<\/strong>\u5168\u804c\u5b9e\u4e60\u751f<\/p>\n\n\n\n

      \u62db\u8058\u4eba\u6570\uff1a<\/strong>\u82e5\u5e72<\/p>\n\n\n\n

      \u5de5\u4f5c\u5730\u70b9\uff1a<\/strong>\u5317\u4eac\/\u6e29\u54e5\u534e<\/p>\n\n\n\n

      \u7ec4\u522b\u7b80\u4ecb\uff1a<\/strong><\/p>\n\n\n\n

      \u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u901a\u7528\u4eba\u5de5\u667a\u80fd\u7ec4\uff08General Artificial Intelligence\uff09\u4e13\u6ce8\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u548c\u901a\u7528\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u7406\u8bba\u3001\u6a21\u578b\u3001\u7b97\u6cd5\u548c\u5e94\u7528\u7684\u7814\u7a76\u548c\u521b\u65b0\u3002\u76ee\u524d\u4e3b\u8981\u7684\u7814\u7a76\u5174\u8da3\u548c\u9886\u57df\u5305\u62ec\uff1a\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u591a\u6a21\u6001\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff0c\u901a\u7528\u667a\u80fd\u4f53\uff0c\u81ea\u7136\u8bed\u8a00\u5904\u7406\uff0c\u8bed\u97f3\u5904\u7406\uff0c\u591a\u6a21\u6001\u4eba\u5de5\u667a\u80fd\u7b49\u3002<\/p>\n\n\n\n

      \u8fd1\u5e74\u6765\uff0c\u6211\u4eec\u53d1\u8868\u548c\u5f00\u6e90\u4e86\u4e00\u7cfb\u5217\u5f00\u521b\u6027\u3001\u6709\u5f71\u54cd\u529b\u7684\u8bba\u6587\u548c\u6a21\u578b\uff0c\u4f8b\u5982UniLM, XLM-E, MiniLM(-2), (m)E5, Layout(X)LM(-3), WavLM, BEiT(-3), Kosmos(-2), VALL-E, DeepNet, LongNet, (Gated) RetNet, YOCO \/ Decoder-Decoder Architecture, 1-bit LLMs \/ BitNet (b1.58), Q-Sparse \/ Fully Sparsely-Activated LLMs\uff0c\u7b49\u3002\u66f4\u591a\u7814\u7a76\u548c\u4ecb\u7ecd\u53c2\u89c1https:\/\/aka.ms\/GeneralAI (opens in new tab)<\/span><\/a>\u3002<\/p>\n\n\n\n

      \u5de5\u4f5c\u804c\u8d23\uff1a<\/strong><\/p>\n\n\n\n

        \n
      1. \u53c2\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u3001\u591a\u6a21\u6001\u5927\u8bed\u8a00\u7684\u57fa\u7840\u7814\u7a76\u548c\u5f00\u53d1<\/li>\n\n\n\n
      2. \u53c2\u4e0e\u901a\u7528\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u6280\u672f\u7684\u7814\u7a76<\/li>\n\n\n\n
      3. \u53c2\u4e0e\u81ea\u7136\u8bed\u8a00\u3001\u8bed\u97f3\u3001\u591a\u6a21\u6001\u4eba\u5de5\u667a\u80fd\u7b97\u6cd5\u7684\u8bbe\u8ba1\u548c\u5f00\u53d1<\/li>\n\n\n\n
      4. \u8bbe\u8ba1\u548c\u5b9e\u73b0\u6a21\u578b\uff0c\u89e3\u51b3\u5b9e\u9645\u95ee\u9898<\/li>\n\n\n\n
      5. \u53c2\u4e0e\u64b0\u5199\u548c\u53d1\u8868\u8bba\u6587<\/li>\n<\/ol>\n\n\n\n

        \u4efb\u804c\u8981\u6c42\uff1a<\/strong><\/p>\n\n\n\n

          \n
        1. \u8ba1\u7b97\u673a\u79d1\u5b66\u3001\u8f6f\u4ef6\u5de5\u7a0b\u3001\u7535\u5b50\u5de5\u7a0b\u6216\u5176\u5b83\u76f8\u5173\u4e13\u4e1a\uff08\u672c\u79d1\/\u7855\u58eb\/\u535a\u58eb\uff09\uff1b\u6b22\u8fce\u57fa\u7840\u5b66\u79d1\uff08\u6570\u5b66\u3001\u7269\u7406\u7b49\uff09\u4e13\u4e1a\u540c\u5b66\u7533\u8bf7<\/li>\n\n\n\n
        2. \u5177\u5907\u575a\u5b9e\u7684\u6570\u5b66\u57fa\u7840\u548c\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\uff1b \u5177\u6709\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u8bed\u97f3\u5904\u7406\uff0c\u89c6\u89c9\u548c\u591a\u6a21\u6001\u4eba\u5de5\u667a\u80fd\u3001\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\u76f8\u5173\u77e5\u8bc6\u8005\u4f18\u5148<\/li>\n\n\n\n
        3. \u5177\u6709\u4f18\u79c0\u7684\u7f16\u7a0b\u80fd\u529b<\/li>\n\n\n\n
        4. \u5feb\u901f\u5b66\u4e60\u80fd\u529b<\/li>\n\n\n\n
        5. \u53ef\u4ee5\u719f\u7ec3\u4f7f\u7528\u82f1\u6587\u4f5c\u4e3a\u5de5\u4f5c\u8bed\u8a00<\/li>\n\n\n\n
        6. \u5177\u6709\u826f\u597d\u7684\u6c9f\u901a\u80fd\u529b\u548c\u56e2\u961f\u534f\u4f5c\u7cbe\u795e<\/li>\n\n\n\n
        7. \u80fd\u5f97\u5230\u5bfc\u5e08\u7684\u4e66\u9762\u540c\u610f<\/li>\n<\/ol>\n\n\n\n

          \u5de5\u4f5c\u65f6\u95f4\u8981\u6c42\uff1a<\/strong><\/p>\n\n\n\n

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