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Open nowPosted 316 days ago

推荐算法工程师-豆包

ByteDance19,207 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now推荐算法工程师-豆包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. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 316 days ago

ByteDance median: 2 days open

The posting

团队介绍：负责豆包、猫箱等字节跳动 AI 原生产品的推荐应用和智能增长，全链路地研究和优化推荐技术、LLM 在相关 APP 的全新应用和解决方案，探索 LLM4Rec 如何满足用户不断增长的智能交互和个性化推荐需求，全面提升用户的消费和创作体验。

1、LLM驱动的推荐创新：利用前沿技术优化AI产品的核心消费和创作模块，在非传统推荐场景探索LLM4Rec的无限可能； 2、全链路推荐系统优化：接触业界领先的推荐技术，全链路地优化包括召回模型、排序模型、多模态推荐、多目标、冷启动等推荐核心算法和模块； 3、应用场景探索：在更多使用场景中深入研究和探索AIGC落地对人们生活和工作的智能化改变。

1、优秀的代码能力、数据结构和基础算法功底，熟练C/C++或Python； 2、对推荐系统或机器学习具有浓厚兴趣，熟悉NLP、LLM相关的算法和技术者优先； 3、能够从用户视角出发，对LLM技术红利转化为业务价值有独到见解； 4、出色的问题分析和解决能力，良好的沟通协作能力，对大模型的落地应用场景充满热情。

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