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Open nowPosted 34 days ago

【校招】学科评测工程师-评测中心

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【校招】学科评测工程师-评测中心aicarrier/522799 · Shanghai, Chinese Mainland
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  6. 57.8%60 days
This job: posted 34 days ago

The posting

1. 学科能力体系研究:结合学科研究流程与典型科研任务,拆解科学智能所需的知识、推理及问题求解能力,建立能力维度、评测任务与评价指标之间的对应关系。 2. 学科评测集建设:调研、引入和建设高质量学科Benchmark,负责题目设计、数据筛选、专家标注与质量审核,覆盖文本、多模态及科研智能体任务。 3. 评测方法与工具开发:设计适用于不同任务的评分方法,开发数据处理、模型调用、自动评分和结果分析工具,推进评测任务标准化接入与可复现运行。 4. 模型评测与能力诊断:开展内部模型及外部竞品评测,通过指标对比、错误归因和典型案例分析,形成能力研判、评测报告及研发改进建议。 5. 学科合作与场景验证:对接领域科研团队和外部专家,将真实科研需求转化为评测方案,推动评测结果与专家判断、实验或仿真结果相互验证。 6. 成果沉淀与持续维护:参与司南榜单建设与更新,沉淀评测数据、工具、技术规范及研究成果,持续跟踪学科前沿和模型能力变化。

1.专业背景:数学、物理、化学、材料、生命科学、计算机等相关专业,或具有科学智能交叉研究背景;具备至少一个学科方向的扎实基础。 2.该岗位侧重评测数据与工具建设、模型接入、自动化评测及运行维护。原则上具有硕士及以上学历,具备独立交付评测模块或相关工程项目的能力。 3.科研理解能力:能够阅读学科前沿文献,理解科研问题、研究方法与结果验证逻辑,独立判断评测任务的科学性及答案质量。 4.编程与数据能力:熟练使用Python,具备数据处理、实验脚本开发和结果分析能力,熟悉Linux及Git等常用开发工具。 5.模型与评测基础:了解大模型或智能体的基本原理与使用方式,具备模型调用、部署、评测或应用开发经验;能够设计合理的对照实验并分析结果。 6.严谨性与协作能力:重视数据质量、实验可复现性和结论边界,能够与算法、工程及学科团队协作,清晰撰写技术方案和评测报告。

加分项 1. 参与过学科Benchmark、科研数据集或大模型评测项目。 2. 具有科研智能体、工具调用、仿真计算或实验平台使用经验。 3. 具有多模态评测、开放式问题评分、LLM-as-a-Judge或专家评价一致性研究经验。 4. 在相关领域发表过高质量论文,或具有开源项目、评测工具及平台建设成果。 6. 具有跨学科合作经验,能够将领域专家需求转化为具体技术任务。

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