通用人工智能组研究实习生
组别简介:
微软亚洲研究院通用人工智能组(General Artificial Intelligence)专注于自然语言处理和通用人工智能领域的理论、模型、算法和应用的研究和创新。目前主要的研究兴趣和领域包括:大语言模型,多模态大语言模型,通用人工智能,通用智能体,自然语言处理,语音处理,多模态人工智能等。
近年来,我们发表和开源了一系列开创性、有影响力的论文和模型,例如UniLM, 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,等。更多研究和介绍参见https://aka.ms/GeneralAI。
工作职责:
任职要求:
工作时间要求:
能获得导师许可并保证至少三个月的实习。
请务必下载并填写申请表(申请表链接:https://aka.ms/InternApplication )并将其与完整的中英文简历(PDF/Word形式)一同发送至:MSRAih@microsoft.com,邮件标题中注明:通用人工智能组研究实习生。
了解更多“明日之星实习生计划”,请访问:https://www.msra.cn/zh-cn/connections/academic-programs/tomorrowstars
Position Title: Research Intern for [General Artificial Intelligence]
Job Type: Full-time Intern
Number of Openings: Multiple
Location: Beijing/Vancouver
Group Introduction:
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.
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, ...
More information about our research at https://aka.ms/GeneralAI.
Job Responsibilities:
Qualifications:
Internship Duration Requirements:
Must obtain permission from your academic advisor and commit to at least three months of internship.
Please be sure to download and complete the application form (Application form link: https://aka.ms/InternApplication ) and send it along with a complete English and Chinese resume (in PDF/Word format) to: MSRAih@microsoft.com. Please include "Research Intern for [General Artificial Intelligence]" in the email subject line.
To learn more about the “Stars of Tomorrow Internship Program,” please visit: https://www.msra.cn/zh-cn/connections/academic-programs/tomorrowstars