AI搜推算法专家AI Search Algorithm Expert

任职要求

<p>职位描述</p><p>1、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；</p><p>2、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；</p><p>3、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；</p><p>4、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；</p><p>5、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。</p><p><br></p><p>任职资格</p><p>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；</p><p>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；</p><p>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；</p><p>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；</p><p>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；</p><p>6、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；</p><p>7、积极拥抱大模型等创新技术。</p><p><br></p><p>Responsibilities</p><p>1.&nbsp;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.</p><p>2.&nbsp;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.</p><p>3.&nbsp;Capable of acting as a technical project owner, leading the formulation and implementation of the team’s development direction in technical and business dimensions.</p><p>4.&nbsp;Possess in-depth insight into business and technological changes, and keep track of cutting-edge technological advancements and practical applications including large models.</p><p>5.&nbsp;Strong cross-team communication and collaboration skills to work closely with other teams and deliver exceptional travel products for users.</p><p><br></p><p>Qualifications</p><p>1.&nbsp;8+ years of relevant work experience; major in Computer Science, Statistics, Mathematics, Information Technology or related fields; master’s degree or above is preferred.</p><p>2.&nbsp;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.</p><p>3.&nbsp;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.</p><p>4.&nbsp;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.</p><p>5.&nbsp;Good business acumen, innovative spirit and ability to integrate theory with practice; proactive thinking and learning motivation, and willingness to grow with the business.</p><p>6.&nbsp;Outstanding problem analysis and solving capabilities, strong team spirit and passion for challenging problems.</p><p>7.&nbsp;Proactively embrace innovative technologies such as large models.</p>