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Kuaishou Technology · Beijing

# 搜索算法专家-【混排垂搜】

Beijing 

Listed on Kuaishou Technology’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/30600)

[OpenNash Jobs](https://jobs.opennash.com/) / [Kuaishou Technology](https://jobs.opennash.com/companies/kuaishou-technology/) / 搜索算法专家-【混排垂搜】

## Job description

### 垂直搜索全链路优化
- 负责Query理解、意图识别、召回、粗排/精排、相关性与体验指标的系统性优化，提升搜索满意度与转化效率；

### 异构物料混排
- 构建并迭代用户卡/直播/本地生活/电商商品/视频等多源异构内容的混合排序策略，解决跨域竞争、供给差异、目标冲突与展示约束等问题；

### 相关性与个性化
- 结合用户画像、上下文与行为序列，提升个性化相关性建模能力，兼顾准确性、多样性、新颖性与业务收益；

### 多模态内容理解
- 利用视频、图文、直播等多模态表征与对齐技术，提升内容语义理解、匹配与可解释性，增强长尾与冷启动效果；

### 前沿技术探索和创新应用
- 探索并推动LLM、Agent和生成式推荐等前沿技术在搜索场景的应用。 加分项
- 有异构混排、跨域排序、统一多目标优化（体验/收益/供给）经验；
- 在SIGIR/KDD/WWW/RecSys/ACL/NeurIPS/ICLR等发表相关论文或有开源影响力；
- 有端到端生成式搜索/推荐、语义召回体系升级等成功案例。

### 算法能力
- 具备扎实的机器学习与深度学习基础，熟悉搜索/推荐核心问题：召回、排序、相关性、特征与样本构建、负采样、校准、去偏与评估等；

### 搜索/推荐经验
- 有垂直搜索、推荐系统、广告排序等线上实战经验，能独立定位问题并推动指标提升；

### 多模态与语义理解
- 熟悉NLP/Query理解、语义匹配、向量检索、多模态表征（图文/视频）等方向，有落地经验优先；

### 大模型/生成式方向
- 了解或实践过LLM、生成式推荐、RAG/工具调用、蒸馏与对齐、端到端训练与推理优化等，有线上落地经验优先；

### 工程与数据能力
- 熟练使用Python/C++/Java之一，熟悉PyTorch/TensorFlow；具备大规模数据处理与分布式训练/推理经验，关注线上时延与成本；

### 综合素质
- 强业务理解与结果导向，良好的沟通协作能力，能在复杂目标下做取舍并推动跨团队落地。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Beijing[Apply on Kuaishou Technology’s careers site →](https://zhaopin.kuaishou.cn/#/official/social/job-info/30600)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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