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Open nowPosted 422 days ago

AI For Science评测专家 - AI数据与安全

ByteDance19,207 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI For Science评测专家 - AI数据与安全ByteDance · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% 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. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 422 days ago

ByteDance median: 2 days open

The posting

团队介绍：AI 数据与安全团队为 Seed 基座模型及 AI 原生应用提供跨模态数据服务，覆盖数据生产全流程，包含模型评估标准的制定、数据规模化生产、数据飞轮搭建，不断提升数据质量，支持模型快速迭代。 团队由产品经理、数据工程、数据运营等跨职能人才组成，并通过与 Seed 研究员、行业专家、全球顶尖数据供应商紧密合作，从真实场景中收集反馈并分析模型表现数据，解决 AI 前沿突破过程中的复杂数据问题，推动模型性能与用户体验的双重提升。我们既是帮助模型技术迭代的一线贡献者，也是模型和 AI 产品的一手用户。

1、评测方向规划：负责AI for Science评测方向的规划和评测策略制定，跟踪AI for Science前沿进展，围绕重点学科和真实科研场景，梳理关键能力和典型任务，制定评测集建设方案，持续提升任务的覆盖度、研究价值和难度区分度； 2、评测集建设与分析：通过多种渠道构建真实科研任务评测集，设计并验证评分体系，准确评估模型的科研能力，能够定位模型能力短板，输出评测分析报告，推动模型能力迭代； 3、FDE科学家协作：作为FDE深度对接一线科学家，通过访谈等方式，把真实科研工作流转化成高质量评测任务； 4、项目管理与运营：负责所带项目的整体推进，把控进度和质量，沉淀可复用的流程和机制，保证评测集高质量交付。

1、硕士学位及以上，材料化学、生命科学或相关交叉学科背景，博士学位优先； 2、有2年以上相关工作经验：大模型评测、数据或Benchmark建设经验，或者主导过科学数据集、Benchmark的科研经历； 3、学科功底扎实，了解本领域真实的科研流程和常用工具，有计算、模拟或数据分析经验优先； 4、对理解评测有方法论积累，对数据要求、评测集建设等问题有自己的思考； 5、熟练使用Python和Linux，能独立运行模型、分析轨迹、搭建实验环境； 6、主动性强，对质量有高标准，沟通协调能力好，能独立负责一个方向并推动多方合作。

加分项 1、做过科研Agent、论文复现类Benchmark或者是science方向评测集贡献者（如ALE/TBscience评测集的贡献者）； 2、有跨学科背景，或者有组织专家团队协作沟通的经验。

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