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Open nowPosted 190 days ago

基于多模态大模型的智能审核关键技术研究-国际化商业安全(北京/上海)

ByteDance19,260 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now基于多模态大模型的智能审核关键技术研究-国际化商业安全(北京/上海)ByteDance · Beijing, Chinese Mainland
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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 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 190 days ago

ByteDance median: 27 days open

The posting

团队介绍:国际化商业安全团队致力于在国际化用户、企业和产品之间建立安全可靠的连接。我们通过一系列完善的系统和能力,审核广告内容、预测政策违规行为,并执行广告审核通过或拒绝的措施。作为国际商业化团队的业务合作伙伴,我们提供的业务诚信解决方案不仅确保国际化业务始终是一个安全、积极、友好的用户环境,同时也推动业务增长。

课题介绍:随着数字内容的爆炸式增长,智能审核已成为互联网平台重要的技术能力,但面对日益复杂的审核场景和不断演进的对抗手段,传统审核技术正面临前所未有的挑战。当前智能审核领域存在规则动态性、内容复杂性、样本稀缺性、对抗升级和解释性缺失等诸多技术难题,特别是在涉及审核规则变更、长文本、长时序、多语言、少样本和AIGC生成对抗等问题时,现有的开源大模型表现仍有提升空间。

课题挑战:重点突破多模态推理、Context Engineering、理解与生成统一等核心技术,实现智能决策、自主规划、工具调用和智能修复等能力。

课题价值:打造领先审核系统,实现高质量的是否拒绝、为何拒绝、智能修复全流程能力,实现全机审,效果超人工。

1、2027届毕业,获得博士学位,人工智能、计算机、数学相关专业者优先; 2、具备扎实的编码能力/AI coding熟练使用、数据结构和基础算法功底,熟练运用各种算法框架与工程框架; 3、具备MLLM/VLM/Omni大模型基座优化经验者优先; 4、在国际会议或期刊发表论文者(包括但不限于ACL、EMNLP、NeurIPS、ICML、ICLR、CVPR、ICCV等)优先; 5、拥有扎实的机器学习基础,在深度学习、强化学习、NLP、多模态方向有深入的理解与研究经历; 6、具备良好的沟通协作能力,能够与团队共同探索新技术,推动技术发展。

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