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Open nowPosted 296 days ago

AI算法实习生-番茄

ByteDance19,258 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI算法实习生-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.

11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 23 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 296 days ago

ByteDance median: 23 days open

The posting

ByteIntern：面向2027届毕业生（2026年9月-2027年8月期间毕业），为符合岗位要求的同学提供转正机会。 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、国际化短剧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、跨模态内容生成，探索如何将现有的IP内容在不同体裁之间进行转换和生成，实现小说、动漫、短剧等内容的AI生成和辅助创作； 2、参与平台内的海量内容的多模态内容理解工作，提取结构化信息，帮助用户、平台和推荐系统更好的理解和使用内容的多模态信息，提升产品使用体验和留存； 3、番茄系IP价值挖掘与优化，深入挖掘IP的潜在价值，如改编、剧本创作等，优化其使用策略以及生产流程，以最大化其商业价值。

1、2027届本科及以上学历在读，计算机、软件工程等相关专业优先； 2、扎实的机器学习基础，深入理解多模态理解及生成相关技术，具备良好的数理基础和自学能力； 3、熟练掌握相关机器学习框架和工程框架，具备扎实的编码能力； 4、在多模态大模型领域有相关经验，尤其在长文本、影视剧领域有经验者优先； 5、在计算机科学高水平会议和期刊（如NeurIPS、ICML、CVPR、ICCV、ECCV、IJCAI、AAAI、KDD、SIGIR、WWW、ACL、TPAMI、IJCV等）发表过论文或具备竞赛经验者优先； 6、具备良好的沟通协作能力，能够与团队共同探索新技术，推动新技术在业务落地。

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