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Open nowPosted 1312 days ago

多模态大模型算法实习生 - TikTok算法

ByteDance19,258 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now多模态大模型算法实习生 - TikTok算法ByteDance · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

11.4% 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. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 1312 days ago

ByteDance median: 23 days open

The posting

团队介绍：TikTok搜推算法团队，负责TikTok短视频产品的基础推荐、搜索算法，加入我们，你能接触到包括搜索、用户增长、社交、直播、内容创造、内容消费等核心业务场景，直接为核心用户体验负责，支持产品在全球赛道上高速发展。我们的工作内容包括大规模推荐算法的优化、复杂约束的优化问题的解决、多模态大模型的落地，并着力研究下一代AI Search和Chatbot的核心研发技术，包括不限于Multi-Agent、Agentic RL、Harness、Loop Engineering，探索强化学习在大模型时代的新范式。在这里，你可以深入钻研机器学习算法的改进和优化，探索前沿的技术；可以感受不同文化的碰撞，激发认知；可以通过对产品和内容生态的深度分析，影响产品未来的发展方向。

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。

1、负责国际化短视频业务中的自然语言处理（NLP）算法工作，探索NLP技术在各业务中的应用，实现业务指标的增长； 2、负责算法的工程部署和落地，提供高效稳定的算法应用服务； 3、具体方向包括： 1）多模态、语义理解、对比学习相关技术探索； 2）推动多模态信息与推荐系统结合，助力推荐在冷启动、兴趣探索、多样性等方向优化； 3）覆盖电商、画风调控、运营等各类场景的模型需求。

1、本科及以上学历在读，计算机、软件工程等相关专业优先； 2、熟悉自然语言处理理论和技术，了解学术界在NLP领域的最新进展；有相关领域会议期刊论文/获取比赛名次者优先； 3、熟悉Linux平台以及常用深度学习框架PyTorch/TensorFlow等； 4、责任心强，积极主动，有良好的沟通能力和团队合作能力； 5、有独立思考以及动手能力，提出想法并能付诸实践验证。

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