1. Academic Brand Strategy: Formulate the company’s annual brand strategy for the global research community, covering the overall narrative and rhythm for top conference participation, preprint publication pipelines, open-source releases and university partnerships.
2. Top Conference Operations: Lead participation strategies, paper communication, side-event design, recruitment campaigns and event sponsorships for top-tier conferences including SIGGRAPH, CVPR, NeurIPS, ICLR and ICCV.
3. Open-source & Technical Content Operations: Oversee operational rhythms and content strategies for platforms including HuggingFace, GitHub and Papers with Code, turning model releases, demo spaces and open-source tools into consistent touchpoints with the research community.
4. Academic KOL & University Relations: Build and maintain a network of research-focused X opinion leaders, academic newsletter editors, long-tail researchers and top university laboratories to support launch-period communication and long-term reputation building.
5. Research Content Production: Create supporting interpretive articles, posts and short-video explanations for academic papers, ensuring a complete distribution pipeline and guided community discussion for every research output.
6. Talent Funnel Collaboration: Partner with HR and research teams to translate academic brand influence into effective recruitment penetration for top-tier researchers.
1、学术品牌战略：制定公司在研究社区的年度品牌策略，覆盖顶会参会、preprint 节奏、开源发布、高校合作的整体叙事与节奏。
2、顶会运营：主导 SIGGRAPH、CVPR、NeurIPS、ICLR、ICCV 等顶级会议的参会策略、论文传播、边会设计、招聘活动与赛事赞助。
3、开源与技术内容运营：负责 HuggingFace、GitHub、Papers with Code 等平台的运营节奏与内容策略，让模型发布、demo space、开源工具成为研究社区的日常触点。
4、学术 KOL 与高校关系：搭建并维护研究型 X 意见领袖、学术 newsletter 编辑、长尾研究员、顶级高校实验室的关系网，支持发布期传播与长期口碑建设。
5、研究内容产出：产出论文配套的解读文章、推文、短视频讲解，确保每一次研究产出都有完整的分发链路与讨论引导。
6、招聘漏斗协同：与 HR、研究团队协同，把学术品牌转化为顶尖研究员的招聘渗透。
任职要求
1. Over 3 years of working experience in academic marketing, technical PR, open-source community operation or research-oriented content operation; experience in AI, 3D graphics, robotics, machine learning and related fields is preferred.
2. Possess solid research literacy, familiar with classic papers in relevant fields and capable of technical communication with researchers; completion of ML-related courses or experience as a research engineer is a strong plus.
3. Familiar with the operational logic and community culture of research ecosystems including HuggingFace, GitHub, Papers with Code and Arxiv.
4. Proven experience independently operating research-focused X accounts, newsletters, blogs or open-source projects with demonstrable technical communication works.
5. Bilingual proficiency in Chinese and English for daily work with outstanding English technical writing capabilities.
1、3 年以上学术市场、技术 PR、开源社区运营或研究方向内容运营经验；AI、3D、图形学、机器人、机器学习等方向优先。
2、具备研究素养，读过本领域经典论文，能与研究员进行技术对话；修过 ML 相关课程或做过研究工程师类岗位优先。
3、熟悉 HuggingFace、GitHub、Papers with Code、Arxiv 等研究生态的运作逻辑与社区文化。
4、有独立运营研究导向的 X 账号、newsletter、blog 或开源项目的经验，有可展示的技术传播作品。
5、中英文均为工作语言，英文技术写作能力突出。
