[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Trip.com Group jobs](https://jobs.opennash.com/companies/trip-group/) · [Search jobs](/search/) Trip.com Group · Shanghai # AI搜推算法专家AI Search Algorithm Expert Shanghai Listed on Trip.com Group’s official careers site. Posted August 6, 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=MJ030916&atsApiType=Moka) [OpenNash Jobs](https://jobs.opennash.com/) / [Trip.com Group](https://jobs.opennash.com/companies/trip-group/) / AI搜推算法专家AI Search Algorithm Expert ## Job description 职位描述 - 负责携程旅游业务场景搜索/推荐排序端到端迭代优化，优化用户搜推体验，提升点击率、转化率等核心指标； - 应用先进技术手段，优化召回、粗排、精排、重排等全链路算法模块，显著提升用户体验和转化效率； - 具备项目技术Owner的能力，能够主导制定并落实团队在技术、业务等多维度发展方向； - 对业务和技术变化有深入洞察，持续关注包括大模型在内的技术前沿进展和落地应用； - 具备跨团队沟通协作能力，与其他团队密切合作，为用户提供卓越的旅行产品。 任职资格 1、8年及以上相关工作经验；计算机、统计学、数学、信息技术等相关专业；研究生及以上学历优先； 2、具备优秀的编码能力，扎实的数据结构和算法功底；有良好的数据敏感度，能从海量数据提炼核心结果；有丰富的数据分析、数据挖掘、效果评估的经验和能力； 3、熟悉掌握机器学习和深度学习算法，对推荐系统、搜索排序、计算广告相关领域有经验者优先；熟悉常用的算法模型，并在多目标优化、序列建模、多场景建模、生成式推荐等一个或多个方向有深入研究；精于逻辑推理、统计分析理论； 4、熟悉一种或多种编程语言Python/Java等；熟悉一种或多种主流的分布式深度学习计算框架Tensorflow/PyTorch等；熟悉Hadoop、Spark等分布式并行处理技术，熟练掌握Hive SQL语言，具备良好的代码开发能力； 5、具备一定的业务敏感度，创新精神和理论与实践相结合的能力，具有主动思考和学习的动力，乐于与业务共同成长； - 具备出色的问题分析和解决能力，具有团队合作意识，对具有挑战性的问题充满激情； - 积极拥抱大模型等创新技术。 Responsibilities - Responsible for end-to-end iteration and optimization of search/recommendation ranking in Ctrip’s tourism business scenarios, enhancing user search and recommendation experience and boosting core metrics such as click-through rate and conversion rates. - Optimize full-link algorithm modules including recall, rough ranking, fine ranking and re-ranking with advanced technical methods to significantly improve user experience and conversion efficiency. - Capable of acting as a technical project owner, leading the formulation and implementation of the team’s development direction in technical and business dimensions. - Possess in-depth insight into business and technological changes, and keep track of cutting-edge technological advancements and practical applications including large models. - Strong cross-team communication and collaboration skills to work closely with other teams and deliver exceptional travel products for users. ### Qualifications 1. 8+ years of relevant work experience; major in Computer Science, Statistics, Mathematics, Information Technology or related fields; master’s degree or above is preferred. 2. Excellent coding skills with solid foundation in data structures and algorithms; strong data acumen to extract core insights from massive data; rich experience and ability in data analysis, data mining and effect evaluation. 3. Proficiency in machine learning and deep learning algorithms; experience in recommendation systems, search ranking, computational advertising is a plus; familiar with common algorithm models with in-depth research in one or more directions such as multi-objective optimization, sequence modeling, multi-scenario modeling and generative recommendation; adept at logical reasoning and statistical analysis capabilities. 4. Familiar with one or more programming languages (Python/Java, etc.); proficient in one or more mainstream distributed deep learning frameworks (TensorFlow/PyTorch, etc.); familiar with distributed parallel processing technologies such as Hadoop and Spark; proficient in Hive SQL with excellent code development capabilities. 5. Good business acumen, innovative spirit and ability to integrate theory with practice; proactive thinking and learning motivation, and willingness to grow with the business. - Outstanding problem analysis and solving capabilities, strong team spirit and passion for challenging problems. - Proactively embrace innovative technologies such as large models. ## At a glance - Posted by the employer: Aug 6, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 74 days - Location: Shanghai[Apply on Trip.com Group’s careers site →](https://careers.trip.com/#/job-detail?fromId=MJ030916&atsApiType=Moka) ## More jobs at Trip.com Group ### [-后端开发工程师-](https://jobs.opennash.com/companies/trip-group/jobs/3fd7aa67824d93394856/) Shanghai ### [AI Agent工程师（酒店BU）](https://jobs.opennash.com/companies/trip-group/jobs/f1cc5f5708e062dd4138/) Shanghai ### [AI Agent开发工程师](https://jobs.opennash.com/companies/trip-group/jobs/716999cc960252753f0c/) Shanghai ### [AI Native 产品经理（线路规划·用户体验方向）](https://jobs.opennash.com/companies/trip-group/jobs/61e27b61f5f48d7fd410/) Shanghai ### [AI Native 设计师](https://jobs.opennash.com/companies/trip-group/jobs/a5bbe7c88620bfd54ab4/) Shanghai ## Similar jobs at other companies ### [Algorithm Engineer - Search & Recommendation](https://jobs.opennash.com/companies/xiaomi/jobs/7980b28300756e3edc96/) Xiaomi · 新加坡 ### [Expert Director Paid Search (all genders)](https://jobs.opennash.com/companies/publicis-groupe/jobs/82731fb0ff5df06e7552/) Publicis Groupe · Duesseldorf ### [Media Solutions Search Expert, gTech (English, Hebrew)](https://jobs.opennash.com/companies/alphabet/jobs/928c5fae153f5b4d40f1/) Alphabet · Dublin, Ireland ### [Camera ISP Algorithm System Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/690d859e06c6376f3f01/) Qualcomm · Guangdong, China ### [Engineer, Controls Algorithm](https://jobs.opennash.com/companies/trane-technologies/jobs/ae12e1cc21c0f9019cad/) Trane Technologies · Shanghai, China OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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