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Open nowPosted 281 days ago

大模型算法实习生-TikTok业务风控

ByteDance19,269 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now大模型算法实习生-TikTok业务风控ByteDance · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 9 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 281 days ago

ByteDance median: 9 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:TikTok是一个覆盖150个国家和地区的国际短视频平台,我们希望通过TikTok发现真实、有趣的瞬间,让生活更美好。TikTok 在全球各地设有办公室,全球总部位于洛杉矶和新加坡,办公地点还包括纽约、伦敦、都柏林、巴黎、柏林、迪拜、雅加达、首尔和东京等多个城市。

TikTok业务风控团队致力于保护 TikTok 的用户权益,包括但不限于内容消费者、创造者、商业客户等。我们通过建设高效的风控系统和智能的风控算法,提供端到端技术解决方案,以保证平台的健康与社区体验的真实性,为TikTok 业务保驾护航。

1、负责AI应用的算法研发和LLM(大语言模型)效果优化工作,推动最前沿技术的探索和应用; 2、提升基于LLM(大语言模型)的自然语言理解的能力,比如内容理解/分类、向量召回,结构化,短文本/长文本的表征学习等; 3、结合最前沿的LLM(大语言模型)技术,对用户行为/特征进行总结、理解、分类等探索; 4、探索Agent在复杂任务中的应用,实现基于LLM(大语言模型)的复杂任务在风控领域场景的应用落地。

1、2027届本科及以上学历在读,计算机科学与技术、人工智能相关专业优先; 2、掌握LLM(大语言模型)的算法原理、Fine-tuning、Prompt Engineering、向量数据库和LangChain/AutoGen等Agent应用框架者优先;了解最新的LLM技术,有训练或应用经验加分; 3、良好的设计和编码风格,热爱写代码,能产出高质量的设计和代码; 4、出色的分析问题、解决问题能力,能从纷繁复杂的数据中看出问题本质; 5、有主流风控策略、LLM系统的算法研发经验加分; 6、责任心强,积极主动,有良好的沟通能力和团队合作能力。

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