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Open nowPosted 276 days ago

AI模型运营专家（国际电商搜索评测自动化） - TikTok

ByteDance19,210 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI模型运营专家（国际电商搜索评测自动化） - TikTokByteDance · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 276 days ago

ByteDance median: 2 days open

The posting

团队介绍：TikTok是一个覆盖150个国家和地区的国际短视频平台，我们希望通过TikTok发现真实、有趣的瞬间，让生活更美好。TikTok在全球各地设有办公室，全球总部位于洛杉矶和新加坡，办公地点还包括纽约、伦敦、都柏林、巴黎、柏林、迪拜、雅加达、首尔和东京等多个城市。

TikTok ADSO（AI Data Service and Operations）团队负责支撑AI 模型训练、评估与优化的核心数据服务与运营。通过构建高质量、标准化的数据生产体系，以及建立全球化的精益运营模式，为TikTok产品各类 AI 能力的迭代提供稳定、规模化、高性价比的数据支持，推动 AI 技术在复杂业务场景中的深度落地。

加入我们，在真实的全球化 AI 业务中快速成长。你将与顶尖的算法、产品、工程团队协作，在实战中理解 AI 如何真正落地。

1、电商搜索评测体系与模型化建设：面向TikTok国际电商搜索场景，负责搜索相关性、Query意图理解、商品与内容质量、转化效率及用户满意度等方向的评测体系设计；将业务目标抽象为可量化的模型任务、评测标准与指标体系，为电商搜索算法和产品策略迭代提供高质量的数据与洞察反馈； 2、评测与标注链路自动化、平台化：独立负责电商搜索评测和标注项目的全生命周期管理，主导样本构建、任务分发、标注执行、质量校验、结果分析、问题归因和报告生成等环节的自动化改造，推动运营工具从单点能力向场景化、智能化、平台化演进，提升多语言、多市场、大规模评测标注的效率、稳定性与可复用性； 3、大模型与Agent能力建设：设计并落地大模型在Query意图理解、样本生成、搜索结果判定、AI标注、AI质检、异常识别、AI归因与洞察生成等场景中的应用；搭建Agent工作流，持续优化Prompt、知识检索及工具调用策略，提升模型效果、标注产能与质量的可控性和规模化水平； 4、标准沉淀与全球化交付：搭建并持续优化电商搜索评估、标注相关的运营标准、评估方法论与SOP，沉淀电商搜索体验知识库与标准化评估框架；推动评估、标注标准在国际化运营团队的落地执行，保障各类例行与紧急任务按时、按质交付； 5、数据洞察、策略协同与技术探索：协同算法、策略产品团队，基于用户体验数据与评测结论输出有效洞察，定位问题本质并推动体验策略迭代；跟踪大模型、智能体与自动化评测技术进展，与算法、产品、研发和数据团队协作，将复杂需求转化为清晰的模型目标、技术方案与交付路径，沉淀可复用的方法论与平台能力。

1、本科及以上学历，计算机、人工智能、数据科学、统计学、数学、信息工程或相关专业优先； 2、3年及以上项目运营、策略运营或数据运营相关工作经验，有电商、搜索、内容标注或评测平台相关业务经验者优先； 3、理解大模型基本原理、能力边界及典型应用范式，具备Prompt Engineering、Agent工作流或RAG等方向的实践经验，有模型评测、搜索评测、AI标注或AI应用落地项目经验者优先； 4、具备较强的数据分析与实验设计能力，熟练使用SQL，并能够使用Python完成数据处理、效果分析或自动化任务，能够通过数据波动合理归因，系统性地拆解问题并推动解决，有A/B Testing经验者优先； 5、对电商搜索引擎、信息检索或推荐系统有较深入理解，熟悉相关性评估、Query理解、商品与内容质量、用户行为或转化链路分析者优先； 6、具备较强的用户同理心与模型效果诊断能力，能够设计评测集和评估指标、开展误差分析，并将分析结论转化为可执行的优化建议；英语可作为工作语言，能够推动评估标注标准在国际化团队的协同落地；具备良好的结构化思考、技术沟通和跨团队协作能力，能够在快速变化的环境中独立推动复杂项目落地。

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