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Open nowPosted 267 days ago

Ads Agent实习生-GenAI

ByteDance19,261 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAds Agent实习生-GenAIByteDance · 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 27 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 267 days ago

ByteDance median: 27 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:GenAI团队专注于开发跨模态生成式AI前沿技术(涵盖文本、图像、视频、落地页等),为广告主、代理商和创作者打造行业领先的创意提效及投放提效解决方案。我们致力于通过生成式AI技术实现创意工作流自动化,全面提升客户商业收益。团队立志引领广告科技与创意产业的生成式AI变革,为全球客户、创作者及整个生态体系赋能并创造价值。

1、探索将LLM和Agent等GenAI技术在广告领域落地,构建业界领先的Agent产品,在广告助手、电商导购、线索留资等关键领域通用的Agent大幅提升广告效率、效果; 2、后训练优化:应用和创新后训练方法,如微调、强化学习变体或数据增强,以提升推理能力,提升模型在问答、推理、工具使用等能力的表现; 3、深度应用LLM相关技术栈:多模态RAG、Reasoning RL、Reward System、Agent产品构建和评估,为用户提供智能交互产品体验。

1、2027届硕士及以上学位在读,计算机相关专业优先; 2、后训练专业经验:对LLM/MLLM相关后训练技术,包括微调、RL有实践或创新优化相关经验; 3、Agent领域经验:对长上下文、Agent Memory、多轮工具使用、Agent垂直场景问答、Tool Use、Browser Use、Deep Research等领域有深度实践和理解; 4、系统评估:对LLM/Agent相关Reward/Eval System有实践和理解; 5、对基模智能边界提升、多模态RAG、强化学习、Agent等前沿技术有持续跟踪和理解。

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