Position Title: Large Language Model Researcher
Job Summary:
Zhongguancun Institute of Artificial Intelligence is seeking a visionary Large Language Model Researcher to join our cutting-edge AI research team. This role focuses on advancing core technologies in large language models (LLMs), multimodal models, agent systems, long-horizon planning, and decision intelligence. You will conduct fundamental research and tackle key technical challenges in the evolution of large-scale intelligent systems. Additionally, leveraging the institute's doctoral student resources (Zhongguancun Academy)and Beijing's industrial ecosystem, you will contribute to mentoring PhD candidates and translating academic achievements into real-world impact.
We seek candidates who not only possess strong technical expertise but also can strategically analyze AI's future trajectory from perspectives of technological trends, research paradigms, and application evolution. Your work will help establish long-term, systematic research frameworks to drive sustained breakthroughs for the team and organization.
Responsibilities:
Conduct pioneering research in LLMs, multimodal models, agent systems, long-horizon planning, and decision intelligence.
Propose innovative solutions to core research problems and validate approaches on representative benchmarks/tasks.
Drive mid-to-long-term research planning, developing forward-looking roadmaps aligned with technological trends.
Collaborate closely with cross-functional teams to bridge fundamental research and practical applications.
Track global academic/industrial advancements, actively engage in exchanges, and deliver competitive research outcomes.
Requirements:
Master's/PhD degree in Computer Science, AI, Machine Learning, or related fields, or equivalent research experience.
Solid theoretical and practical expertise in ML/DL, LLMs, reinforcement learning, or multimodal understanding/generation.
Proven record of high-impact publications (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP) or flagship research projects.
Ability to independently design, execute, and validate research with end-to-end problem-solving skills.
Strong communication skills and experience collaborating in multidisciplinary teams.
Strategic mindset with a commitment to long-term exploration in AGI and large-model technologies.
Preferred Qualifications:
Deep understanding of LLM training mechanics/limitations, with experience in algorithm optimization, alignment, or evaluation.
Expertise in multimodal learning (e.g., vision-text, audio-video fusion) and representation integration.
Hands-on experience in autonomous agent systems (e.g., LLM-based interactive agents) or RL-based modeling.
Practical knowledge of model compression, inference optimization, or related areas.
Systematic thinking about AI's societal impact and strategic development pathways.
If you aspire to pioneer AGI technologies at the frontier of research and application, join us in shaping the next generation of intelligent systems.
Work Location: Haidian District, Beijing, China
职位名称:大模型研究员
职位简介:
中关村人工智能研究院正在寻找具有战略眼光的大模型研究员,加入我们前沿的AI研究团队。该职位将专注于推动大语言模型、多模态模型、智能体系统以及长程规划和决策智能等核心技术的发展。您将围绕大规模智能系统的演化路径开展基础研究和关键技术攻关。此外,依托中关村学院的博士学生资源和北京的产业扶持,您可以在培养博士学生和学术成果转化等方面有所收获。
我们希望您不仅具备扎实的技术能力,还能从技术趋势、研究范式和应用演进的角度思考AI未来发展方向,推动形成长期、系统的研究布局,为团队与组织的持续突破奠定基础。
岗位职责:
参与大语言模型、多模态模型、智能体系统、长程规划、决策智能等领域的前沿技术研究
围绕核心研究问题,提出创新性方法,并在代表性 benchmark 或任务中验证思路
驱动中长期研究规划,结合技术演进趋势,构建具有前瞻性的研究路线图
与团队内部及跨团队成员密切协作,将基础研究与实际应用有效衔接
跟踪国内外学术和产业的前沿工作,积极参与交流与合作,形成有竞争力的研究成果
任职要求:
拥有计算机科学、人工智能、机器学习等相关领域硕士或博士学历,或具备同等水平的研究能力和经验
在机器学习、深度学习、大模型、强化学习、多模态理解或生成等方向具备扎实的理论基础与实践经验
有发表高水平论文(如 NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP 等)或完成代表性研究项目的经历
能独立制定并推进研究课题,具备发现问题、提出方案、实现验证和总结归纳的闭环研究能力
具备良好的表达沟通能力,能够与多方团队协同完成复杂项目
具备前瞻性思考能力,愿意在AI大模型与通用智能方向做出长期投入和深度探索
加分项:
深入理解大语言模型的训练机制与能力边界,有相关算法优化、模型对齐或评估经验
熟悉多模态学习与表示融合,如图像-文本、语音-视频等场景
对自主智能体系统(例如基于LLM的交互式智能体)和强化学习有实际建模经验
模型压缩、推理优化等领域的实践积累
对人工智能的发展路径、影响及社会价值有系统思考,并具备战略意识
如果您渴望站在通用人工智能技术的前沿,投身技术突破与应用落地的结合之路,欢迎加入我们,共同打造下一代智能系统。
工作地点:中国 北京 海淀区