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Open nowPosted 1178 days ago

搜索推荐算法工程师

ByteDance19,207 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now搜索推荐算法工程师ByteDance · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

11.8% 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. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 1178 days ago

ByteDance median: 2 days open

The posting

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、参与抖音,今日头条,西瓜视频,剪映等App,以及国内电商,生活服务等业务的搜索推荐模型和策略改进,负责这些业务的搜索流量和用户渗透增长&搜索心智建设任务; 2、以推荐算法为核心技术栈,改进基于超大规模机器学习模型的推荐系统,覆盖从候选挖掘到召回,粗排,精排,多目标融合全链路技术环节; 3、探索短文本推荐和通用推荐技术的上限,重点是推荐和NLP技术的联合应用,以及多模态等前沿技术的探索。

1、基础要求:较好的算法设计能力和工程实现能力,有机器学习/强化学习/NLP应用(其一)的实践经验; 2、具备良好的沟通和表达能力,对好的用户体验有自己的认识,有较好的产品意识者优先。

加分项: 1、有大规模(候选大,用户量大)推荐系统优化经验者优先; 2、有大规模NLP语言模型预训练经验优先; 3、参加过ACM等竞赛并取得好名次者优先。

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