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Open nowPosted 574 days ago

架构实习生-搜索

ByteDance19,257 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now架构实习生-搜索ByteDance · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ByteDance's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 16 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 574 days ago

ByteDance median: 16 days open

The posting

日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。 团队介绍：字节跳动搜索团队主要负责抖音、国际化短视频、今日头条、西瓜视频等产品以及电商、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，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：从基础的分词、NER，文本、多模态预训练，到业务上的Query分析、基础相关性等，全链路应用深度学习模型，每个细节都充满挑战； 2、跨模态匹配技术：在搜索中应用CV+NLP深度学习技术，实现多模态视频搜索强大的语义理解和检索能力； 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技术，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。

1、参与字节跳动搜索引擎研发工作，用前沿的机器学习算法、海量的数据，做激动人心的技术、给用户好的搜索体验； 2、参与今日头条/抖音等产品的搜索研发工作，服务相关产品数亿用户； 3、参与搜索核心架构改进，可能的方向包括：设计开发千亿级网页搜索的数据流、分布式建库、在线检索系统，设计业内领先的检索架构；设计开发万亿级Spider系统的实时计算、调度分发、压力控制、蜘蛛抓取等服务；设计开发高可用的搜索引擎稳定性解决方案、自动测试和运维平台。

1、本科及以上学历在读，计算机、软件工程、网络工程等相关专业优先； 2、出色的分析问题、解决问题能力； 3、出色的代码能力，出色的数据结构和基础算法功底； 4、有分布式系统基础和开发经验者优先； 5、熟悉Linux开发环境、至少熟悉C++、Java、Python、Go等一种语言。

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