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Open nowPosted 9 days ago

具身数据评测产品经理 - Seed Model

ByteDance19,122 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now具身数据评测产品经理 - Seed ModelByteDance · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 5 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 9 days ago

ByteDance median: 5 days open

The posting

团队介绍：字节跳动 Seed 团队成立于 2023 年，致力于寻找通用智能的新方法，追求智能上限，为科技和社会发展作出贡献。

Seed 团队在 AI 领域拥有长期愿景与决心，团队研究方向涵盖 MLLM、GenMedia、AI for Science、机器人等，在中国、新加坡、美国等地设有实验室和岗位。目前，团队已推出业界领先的通用大模型以及前沿的多模态能力，支持豆包、即梦、TRAE 等超过 50 个应用场景，并通过火山引擎开放给企业客户。第三方数据显示，豆包 App 用户量在中国市场排名第一，豆包大模型日均 Token 调用量行业领先。

1、负责具身模型的产品能力评估与准入机制建设，从真实场景和任务需求出发，建立模型能力要求、评测标准和版本准入机制，为模型迭代、场景验证和规模化部署提供可信的评测依据； 2、负责现有评测体系的产品化治理与持续迭代，基于已有Benchmark、Rubrics和评测结果，梳理不同测试集的定位和使用方式，明确不同评测集的适用场景、指标口径和版本演进机制，识别能力覆盖、指标解释和产品决策中的关键缺口，推动针对性的增量优化； 3、基于评测结果做挖掘分析，协同相关团队完善测试分布、标签、评测指标和执行规范，分析评测结果的区分度、稳定性与可比性，判断实验结论是否可信、是否足以支持模型迭代和产品决策； 4、模型能力缺口识别与改进优先级管理，综合评测结果、真实任务需求和产品风险，识别影响模型通用操作能力、泛化能力及任务完成质量的关键短板，结合失败原因、物体与场景等标签形成能力分析，推动问题分级、改进优先级制定和效果验收； 5、推动评测驱动的数据闭环，将评测发现转化为明确的数据需求和验证方案，跟踪相关数据生产、训练与评测结果，判断改进是否有效、是否存在其他能力退化，并推动评测结论持续反馈至后续数据与模型迭代计划。

1、本科及以上学历，机器人/自动化/计算机/AI相关专业优先； 2、优秀的产品思维、系统抽象与问题定义能力，能够从真实任务和产品目标出发，将模糊需求转化为清晰的能力要求、评测标准和可执行的改进计划，并在复杂、多团队协作及高度不确定的环境中持续迭代和沉淀产品能力； 3、理解模型的训练与评测，对VLA、多模态模型、机器人操作、模仿学习、强化学习等一个或多个方向有实践经验或深入理解，能够与模型团队围绕模型能力、数据分布、实验设计和失败模式开展有效协作； 4、具备较强的数据分析与实验判断能力，理解Benchmark、Rubrics、指标设计、测试集分布、评测偏差、泛化及模型版本对比，能够判断评测结果的可信度与适用边界，识别测试条件或评测协议变化对结果比较的影响，并据此形成合理的分析与决策建议； 5、具备从评测发现到改进闭环的能力，能够将模型表现和失败案例转化为具体的能力缺口、数据需求、模型优化目标及验证标准，并综合考虑产品价值、能力风险、数据投入、优化成本和交付周期，合理安排优先级； 6、具备复杂项目规划与跨团队推动能力，能够协调内外部跨团队跨职能跨地域团队，明确职责分工、行动计划和验收机制，推动评测结论落实为可执行的改进工作；同时具备极好的主动性、学习能力和动手能力，对新技术保持持续学习热情，对具身智能、机器人或AI基础模型方向有浓厚兴趣，能够适应技术快速演进和业务需求持续变化的环境。

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