[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tencent Holdings jobs](https://jobs.opennash.com/companies/tencent-holdings/) · [Search jobs](/search/) Tencent Holdings · Guangzhou # 微信搜索-高级研究员-大模型应用搜索方向 Guangzhou Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there. [Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2091790925369094144) [OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 微信搜索-高级研究员-大模型应用搜索方向 ## Job description ### Responsibilities - 负责微信视频搜索排序系统的大模型化升级，主导生成式排序范式在精排/混排环节的架构设计与落地，推动搜索排序从判别式建模向生成式理解跃迁； - 深度融合视频多模内容、用户长短期兴趣与搜索上下文，设计端到端的满意度与相关性联合建模方案，从「匹配」走向「理解用户真实意图」； - 主导大模型的后训练体系建设，熟悉SFT、强化学习（RLHF/GRPO/DPO）等训练范式； - 探索大模型在搜索场景下的数据飞轮闭环，构建从线上反馈到自动化标注、训练、评测的可持续迭代能力； - 跟踪业界前沿进展，在生成式检索、Reasoning、Agentic Search 等方向做前瞻性技术布局，并推动成果在亿级用户产品中规模化验证。 Requirements - 计算机、人工智能、数学等相关专业硕士及以上学历，具备扎实的机器学习与深度学习理论基础； - 精通大模型后训练技术栈，在 SFT、强化学习（PPO/GRPO/DAPO/DPO）中至少一项有深入实践与体系化认知，理解其背后的优化本质而非仅停留在调参层面； - 熟练掌握主流训练与推理框架（Megatron-LM / DeepSpeed / veRL / vLLM / SGLang 等），具备千卡级分布式训练或大规模在线推理优化经验； - 在搜索、推荐、广告等大规模排序系统中有实际落地经验，理解召回-粗排-精排-混排全链路，具备从0到1推动技术方案上线并取得业务收益的完整闭环能力； - 具备优秀的问题抽象与工程实现能力，能在效果、时延、成本的多重约束下找到最优解； - 对技术有真正的热情与好奇心，愿意在高不确定性的方向上持续深耕。 ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 12, 2026 - Last checked: Oct 19, 2026 - Listed for: 7 days - Location: Guangzhou[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2091790925369094144) ## More jobs at Tencent Holdings ### [《逆战：未来》-关卡策划](https://jobs.opennash.com/companies/tencent-holdings/jobs/3fd6daca74f05f339c14/) Guangzhou ### [企业微信-AI Agent Harness 全栈工程师-（成都）](https://jobs.opennash.com/companies/tencent-holdings/jobs/b25acf36158f5448bdfd/) Guangzhou ### [企业微信-AI产品经理-微信互通方向](https://jobs.opennash.com/companies/tencent-holdings/jobs/f5c8e376f2d87fe5aa9a/) Guangzhou ### [企业微信-AI产品经理-效率办公 AI](https://jobs.opennash.com/companies/tencent-holdings/jobs/504e9a531b2cc6c30245/) Guangzhou ### [企业微信-AI产品经理-智能助理Agent](https://jobs.opennash.com/companies/tencent-holdings/jobs/8464e085c5a447646f31/) Guangzhou ## Similar jobs at other companies ### [高级研究员-平台研究](https://jobs.opennash.com/companies/midea-group/jobs/389963f8c312ef8c7914/) Midea Group · 广东省-佛山, 上海市-上海市 ### [高级研究员-平台算法](https://jobs.opennash.com/companies/midea-group/jobs/95df5f33b5b9b8f55f2d/) Midea Group · 上海市-上海市, 广东省-佛山 ### [药理中/高级研究员](https://jobs.opennash.com/companies/jiangsu-hengrui-medicine/jobs/163fef97a49d249689df/) Jiangsu Hengrui Medicine · 中国 · 上海市 ### [研究部-高级研究员（科技组组长）](https://jobs.opennash.com/companies/china-taiping-insurance/jobs/2c372a92530794235536/) China Taiping Insurance · 上海市 ### [多肽合成中级研究员/高级研究员](https://jobs.opennash.com/companies/jiangsu-hengrui-medicine/jobs/f61a64276a745244a5d5/) Jiangsu Hengrui Medicine · 中国 · 福建 · 厦门市 OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)