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Trip.com Group · Shanghai

# 推荐算法工程师（生成式推荐方向）

Shanghai 

Listed on Trip.com Group’s official careers site. Posted May 13, 2026. Check that it is still open and apply there.
[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ034952&atsApiType=Moka)

[OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / 推荐算法工程师（生成式推荐方向）

## Job description

职位描述
- 负责信息流推荐系统的算法研发，推动推荐系统从传统级联架构向生成式推荐演进
- 参与生成式召回、排序模型的设计、训练与上线
- 负责模型推理性能优化，保障线上服务质量
- 设计与分析AB实验，基于线上数据驱动模型持续迭代 任职资格
- 计算机、人工智能等相关专业硕士及以上学历，3年以上推荐系统算法经验
- 深入理解推荐系统全链路（召回、粗排、精排、重排），有工业级落地经验
- 熟悉Transformer架构，有大模型训练或微调经验
- 熟悉自回归生成模型的训练与推理优化（beam search、KV cache等）
- 扎实的工程能力，熟悉PyTorch，有推理框架（TensorRT/vLLM等）使用经验

### 有以下经验之一者优先
- 生成式推荐（TIGER、DSI、VQ-Rec、OneRec等）的研究或落地
- RQ-VAE / VQ-VAE 等离散表征学习
- Listwise排序或LLM-based排序
- 大规模用户行为序列建模
- 有内容型平台（旅行、本地生活、电商、社区等）经验者优先

## At a glance
- Posted by the employer: May 13, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 159 days
- Location: Shanghai[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ034952&atsApiType=Moka)

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