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Open nowPosted 3 days ago

LLM/Agent算法实习生 - Commercial AI

ByteDance19,258 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowLLM/Agent算法实习生 - Commercial AIByteDance · Shanghai, 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.

15.1% 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. 2.4%1 day
  2. 6.5%3 days
  3. 15.1%7 days
This job: posted 3 days ago

ByteDance median: 23 days open

The posting

团队介绍：Commercial AI隶属于国际化广告（国际化商业产品与技术），聚焦在商业化场景下的AI研发与创新，包括围绕广告场景，探索超长序列复杂模型、生成式推荐和 AI 广告素材生成等核心能力。简化产品流程，提升客户体验，并推动广告系统从素材生成到推荐建模的持续升级，助力广告效果提升和收入增长。

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、探索将LLM和Agent技术在广告领域落地，构建业界领先的Agent产品，在广告助手、智能客服、创编服务等关键领域通过Agent大幅提升广告相关工作的效率与效果； 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，优化模型在问答、推理、工具使用等场景下的表现； 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，为用户提供优质的智能交互产品体验。

1、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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