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Open nowPosted 80 days ago

多模态搜索算法工程师 - 搜索

ByteDance19,258 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now多模态搜索算法工程师 - 搜索ByteDance · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 23 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 80 days ago

ByteDance median: 23 days open

The posting

团队介绍:字节跳动搜索团队主要负责抖音、今日头条、红果短剧、番茄小说、AI搜索等产品以及电商、生活服务等业务的搜索算法创新和架构研发工作。 我们使用前沿的机器学习/大模型技术进行端到端建模并不断创新突破,同时专注于分布式系统、机器学习系统的构建和性能优化,从内存、Disk等优化到索引压缩、召回、排序等算法的探索,致力于支撑字节跳动持续多元化的产品创新和高速的业务增长、基于大模型革新和重塑下一代搜索技术体系,充分给同学们提供成长自我的机会。 主要工作方向包括: 1、探索前沿的NLP技术:全面基于LLM的Query分析、相关性、个性化预估、满意度评估、生成式检索等,全链路应用LLM/VLM,每个细节都充满挑战; 2、跨模态匹配技术:进行多模态预训练,在超大规模的多模态表征、匹配、生成等多个技术方向上持续突破,打造世界领先的多模态搜索系统; 3、大规模流式机器学习技术:应用大规模机器学习,解决搜索中的推荐问题,让搜索更加个性化更加懂你; 4、千亿级数据规模的架构:从大规模离线计算,分布式系统的性能、调度优化,到构建高可用、高吞吐和低延迟的在线服务的方方面面都有深入研究和创新; 5、推荐技术:基于超大规模机器学习、因果推断、大模型推理等技术手段,构建业界领先的搜索推荐系统,对搜索推荐技术进行探索和创新; 6、AI搜索技术:基于大模型(LLM/VLM)探索多轮、交互式等大模型原生的搜索产品体验。

1、AI问答/Agent:基于SFT、RL、Context Engineering、Memory等技术迭代Planner/Summary提升AI问答能力,探索解决复杂问题Agent/Adaptive Thinking、视觉世界知识压缩与检索等; 2、大规模视觉搜索:检索、相关性、个性化等算法基于VLM与大模型做技术代际升级,探索结合视觉工具的Agent自动化标注、VLM相关性、多模态表征/个性化CoTrain、Dense个性化、RL Based GE等技术; 3、生成式搜索:探索VLM Based Vision Language Sid Model即VLS,优化基于语义SID复刻LLM Scaling Law的生成式召回与排序,召精一体架构代替多阶段级联架构,优化PreTrain、PostTrain、RL以及帧级别的生成,提供语义与个性化都更好的搜索体验; 4、基础视觉智能:基于VLM重构视频分析、主体识别、OCR、视频Tracking、细粒度分类等基础视觉算法支撑理解图片/视频理解,探索多任务统一、视觉推理、复杂Context、细粒度视觉理解能力。

1、2027届获得本科及以上学历; 2、基础扎实,有良好的代码基础、机器学习算法功底; 3、熟悉CV、VLM、Omni Model、LLM、Agent、DeepResearch、视觉搜索/AI问答等相关的算法和技术; 4、具备出色的问题分析与解决能力; 5、热爱技术,具备探索精神与自驱力,工作责任心强。

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