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Trip.com Group · Shanghai

# 算法策略工程师（酒店BU）

Shanghai 

Listed on Trip.com Group’s official careers site. Posted September 21, 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=MJ036546&atsApiType=Moka)

[OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / 算法策略工程师（酒店BU）

## Job description

团队 & 岗位定位 我们是携程酒店排序算法策略团队,负责酒店列表页等核心场景流量分发。本次开发岗位偏业务型算法:需要对业务和数据有较高的敏感度,能把产品诉求翻译成算法问题,也能把算法结果向业务和产品团队清晰地阐述。

### 你会做什么 负责携程酒店流量分发机制策略，驱动平台CR/GMV收入增长 依托C端流量分发机制，设计合理的B端增长策略，实现C&B前后端联动 通过混排、Generator-Evaluater建模等技术，优化酒店信息流listwise价值分发，优化推荐的多样性、用户体验等 酒店行业生态优化

持续完善排序机制，平衡用户体验、平台收益与酒店供给 深度协同产品、业务运营相关团队，做好算法和产品之间协同增长的桥梁。 我们希望你具备 计算机、统计学、运筹学或数学等相关专业本科及以上学历； 2年以上互联网平台（电商、搜广推）流量策略或商业化机制设计经验； 具备全局视角，不局限于局部算法指标优化，能从用户体验、商家生态与平台收益三者结合的角度思考解法。 熟练使用AI工具进行研发提效

## At a glance
- Posted by the employer: Sep 21, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 28 days
- Location: Shanghai[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ036546&atsApiType=Moka)

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

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