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Open nowPosted 2168 days ago

推荐算法工程师-番茄

ByteDance19,208 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now推荐算法工程师-番茄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.

11.8% 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. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 2168 days ago

ByteDance median: 2 days open

The posting

团队介绍：Data-番茄团队，负责字节跳动下番茄小说、红果短剧、番茄畅听等产品的推荐算法和AI相关工作。我们的工作包括优化业界前沿的大规模推荐系统，探索LLM与推荐的结合，并落地生成式推荐范式，从小说、短剧、音频、音乐等内容方向建设完整的内容生态和AI能力，保持业务规模保持超高速增长。

1、参与番茄系产品的推荐算法工作，搭建业界最优秀的推荐系统，采用前沿的机器学习算法为数亿用户提供最好的推荐服务； 2、深入理解场景、系统、算法问题，参与到推荐系统的召回、排序、混排全链路环节，研究深度学习、生成式推荐、流量策略等问题在各环节的创新和应用，提升推荐效果； 3、与产品、运营团队紧密合作，通过对产品和用户的深入理解和分析，结合产品形态制定算法策略优化产品体验。

1、有优秀的编程基础、良好的编程风格和工作习惯，扎实的数据结构和算法功底； 2、有扎实的机器学习/深度学习理论和丰富的实践经验，熟悉至少一种主流深度学习编程框架； 3、优秀的分析问题和解决问题的能力；善于沟通，工作积极主动，责任心强，具备良好的团队协作能力； 4、有顶会论文，ACM/机器学习竞赛获奖，或有大规模推荐系统、计算广告、搜索引擎等核心算法业务经验者优先。

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