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Open nowPosted 25 hours agoWe saw it 10 min after it went up

大模型评测（AI4SE方向）实习生 - 抖音AI

ByteDance19,209 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now大模型评测（AI4SE方向）实习生 - 抖音AIByteDance · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 25 hours ago

ByteDance median: 2 days open

The posting

团队介绍：抖音AI团队主要负责抖音项目以及团队内的AI落地相关基础建设工作。我们的职责是用前沿的AI技术去赋能抖音应用以及抖音团队。我们希望在AI技术的加持下，能够更好的给抖音用户带来更好的信息消费体验，也能够让抖音这个大型组织能够更加高效的运转，从而更加及时的满足用户的各项诉求。团队主要负责抖音AI基础建设，包括但不限于模型训练、Agent相关的工程链路开发、通用Agent工具抽象以及AI Native的各类产品开发工作。AGI信仰强，以发展成为AI Native组织为目标，努力拓展传统协作模式的职责边界，充分给同学们提供自身探索的空间。

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、结合个人背景，参与以下相关工作方向； 2、参与Coding LLM/Agent的数据与Benchmark建设，包括真实研发任务挖掘、评测题构造、数据清洗与质量控制、可复现环境及测试用例建设； 3、设计实现稳定置信的Checker/Judge方案，结合程序执行、自动化测试及模型判断，评估需求完成度、功能正确性与交付质量，持续改进判据与校准方法，降低误判； 4、分析Agent执行轨迹与失败案例，定位任务理解、规划、工具使用及执行验证中的问题，提炼稳定的负面Pattern，并验证改进效果； 5、参与Agent Harness、评测框架及数据处理Pipeline开发，完善环境隔离、批量执行、异常恢复、结果采集与版本对比，提升运行效率和可观测性； 6、跟踪并复现LLM+SE前沿方法，与模型及Agent研发团队协作，探索自动制题、数据优化和评测反馈驱动的Agent改进，验证收益及回归风险。

1、本科及以上学历在读，计算机、软件工程、人工智能等相关专业优先； 2、具备扎实的编程基础，熟练使用Python、Go、Java、C++、JavaScript等至少一门语言，能够完成实际开发、测试与问题定位，并理解和验证模型生成的代码； 3、具备相关实习或实际研发工作经历，或在Coding LLM、Agent评测、软件工程等方向有高度相关且具有明确价值的已发表研究成果； 4、理解大模型与Agent的基本工作机制，关注评测可信度、数据质量和结果使用；具备独立分析问题的能力，能够清晰表达技术方案、实现细节、失败原因与改进思路。

加分项 1、有类SWE-Bench等评测任务构建经验，熟悉任务设计、执行验证、失败分析或质量改进； 2、有Checker/Judge或Reward Model实践，熟悉判据设计、人工校准、误杀漏放分析及数据隔离； 3、有复杂Agent轨迹分析、错误归因、作弊检测经验，能够将分析结果用于数据、评测或模型改进； 4、有前端、客户端、服务端或全栈开发经验，熟悉测试自动化、容器沙箱、CI/CD或大规模任务运行，有相关开源贡献； 5、能够尽快到岗、长期稳定实习者优先。

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