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Open nowPosted 325 days ago

PMO实习生-搜索

ByteDance19,260 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowPMO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.

11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 325 days ago

ByteDance median: 27 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、协调产品研发多方团队，有效推进项目交付，促进效率提升； 2、对接合作方，梳理需求，进行合理排期对齐，协调内部开发资源，高效交付； 3、熟悉技术产品，参与需求迭代，通过数据分析等手段定位问题，帮助最终上线； 4、横向支持大团队效率提升项目。

1、本科及以上学历在读，计算机、软件工程等专业优先； 2、有较强的沟通能力，良好的与人交流协作的能力； 3、有较高的责任心，以及目标导向的落地执行能力、问题解决能力； 4、乐意迎接变化接受挑战，持续学习，自律； 5、能保证一周至少4天实习，持续3个月以上； 6、有项目管理相关实习经验优先。

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