数据引擎工程师（具身智能）
Tencent
数据引擎工程师（具身智能）
Job Description
数据引擎工程师（具身智能）
📋 Job Overview
Tencent is seeking a Data Engine Engineer specializing in Embodied Intelligence to develop advanced data processing pipelines for AI and robotics applications. The role focuses on leveraging large language and vision models to automate data understanding, augmentation, and quality assessment. Responsibilities include collaborating with algorithm and robot teams to optimize data strategies that enhance model training efficiency and convergence.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.研发数据增广与合成方案，开展图像/视频/3D/轨迹层面的多样性增广与物理一致性合成，进行场景重建与对象重组，补齐长尾样本与难例数据；
3.建立覆盖完整性、准确性、偏差、时空一致性与可学习性的质量评估与度量体系，构建自动化评测基准，驱动数据闭环迭代与效果归因；
4.与算法/机器人团队协同，围绕操作模型与感知模型的训练目标制定数据策略，开展“数据—训练—评估—回收”的闭环，量化提升数据利用效率与模型收敛速度；
5.集成各类大模型与工具生态，编排模型API与推理服务，沉淀可复用的管道组件、Prompt模板与评测脚本，提升自动化程度与产线复用度。
🎯 Key Responsibilities
- 基于开源/商用基座大模型（LLM/VLM）、经典视觉模型、与图像视频生成式模型，构建自动数据理解与自标注能力，规模化抽取物体语义、场景语义、人类意图、对象与人-物交互关系、时序与因果等高价值信息
- 研发数据增广与合成方案，开展图像/视频/3D/轨迹层面的多样性增广与物理一致性合成，进行场景重建与对象重组，补齐长尾样本与难例数据
- 建立覆盖完整性、准确性、偏差、时空一致性与可学习性的质量评估与度量体系，构建自动化评测基准，驱动数据闭环迭代与效果归因
- 与算法/机器人团队协同，围绕操作模型与感知模型的训练目标制定数据策略，开展“数据—训练—评估—回收”的闭环，量化提升数据利用效率与模型收敛速度
- 集成各类大模型与工具生态，编排模型API与推理服务，沉淀可复用的管道组件、Prompt模板与评测脚本，提升自动化程度与产线复用度
🛠️ Required Skills
- Proficiency in large language models (LLM/VLM), classic vision models, and image/video generative models
- Experience in data augmentation, synthesis, and physical consistency in images/videos/3D/trajectories
- Skills in building quality evaluation systems for data completeness, accuracy, bias, and spatio-temporal consistency
- Ability to collaborate with algorithm and robotics teams on data strategies and closed-loop processes
- Expertise in integrating large models, APIs, inference services, and reusable pipeline components/Prompt templates
Locations
- Shenzhen, China
Salary
400,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in large language models (LLM/VLM), classic vision models, and image/video generative modelsintermediate
- Experience in data augmentation, synthesis, and physical consistency in images/videos/3D/trajectoriesintermediate
- Skills in building quality evaluation systems for data completeness, accuracy, bias, and spatio-temporal consistencyintermediate
- Ability to collaborate with algorithm and robotics teams on data strategies and closed-loop processesintermediate
- Expertise in integrating large models, APIs, inference services, and reusable pipeline components/Prompt templatesintermediate
Responsibilities
- 基于开源/商用基座大模型（LLM/VLM）、经典视觉模型、与图像视频生成式模型，构建自动数据理解与自标注能力，规模化抽取物体语义、场景语义、人类意图、对象与人-物交互关系、时序与因果等高价值信息
- 研发数据增广与合成方案，开展图像/视频/3D/轨迹层面的多样性增广与物理一致性合成，进行场景重建与对象重组，补齐长尾样本与难例数据
- 建立覆盖完整性、准确性、偏差、时空一致性与可学习性的质量评估与度量体系，构建自动化评测基准，驱动数据闭环迭代与效果归因
- 与算法/机器人团队协同，围绕操作模型与感知模型的训练目标制定数据策略，开展“数据—训练—评估—回收”的闭环，量化提升数据利用效率与模型收敛速度
- 集成各类大模型与工具生态，编排模型API与推理服务，沉淀可复用的管道组件、Prompt模板与评测脚本，提升自动化程度与产线复用度
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Answer 10 quick questions to check your fit for 数据引擎工程师（具身智能） @ Tencent.
Related Books and Jobs
数据引擎工程师（具身智能）
Tencent
数据引擎工程师（具身智能）
Job Description
数据引擎工程师（具身智能）
📋 Job Overview
Tencent is seeking a Data Engine Engineer specializing in Embodied Intelligence to develop advanced data processing pipelines for AI and robotics applications. The role focuses on leveraging large language and vision models to automate data understanding, augmentation, and quality assessment. Responsibilities include collaborating with algorithm and robot teams to optimize data strategies that enhance model training efficiency and convergence.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.研发数据增广与合成方案，开展图像/视频/3D/轨迹层面的多样性增广与物理一致性合成，进行场景重建与对象重组，补齐长尾样本与难例数据；
3.建立覆盖完整性、准确性、偏差、时空一致性与可学习性的质量评估与度量体系，构建自动化评测基准，驱动数据闭环迭代与效果归因；
4.与算法/机器人团队协同，围绕操作模型与感知模型的训练目标制定数据策略，开展“数据—训练—评估—回收”的闭环，量化提升数据利用效率与模型收敛速度；
5.集成各类大模型与工具生态，编排模型API与推理服务，沉淀可复用的管道组件、Prompt模板与评测脚本，提升自动化程度与产线复用度。
🎯 Key Responsibilities
- 基于开源/商用基座大模型（LLM/VLM）、经典视觉模型、与图像视频生成式模型，构建自动数据理解与自标注能力，规模化抽取物体语义、场景语义、人类意图、对象与人-物交互关系、时序与因果等高价值信息
- 研发数据增广与合成方案，开展图像/视频/3D/轨迹层面的多样性增广与物理一致性合成，进行场景重建与对象重组，补齐长尾样本与难例数据
- 建立覆盖完整性、准确性、偏差、时空一致性与可学习性的质量评估与度量体系，构建自动化评测基准，驱动数据闭环迭代与效果归因
- 与算法/机器人团队协同，围绕操作模型与感知模型的训练目标制定数据策略，开展“数据—训练—评估—回收”的闭环，量化提升数据利用效率与模型收敛速度
- 集成各类大模型与工具生态，编排模型API与推理服务，沉淀可复用的管道组件、Prompt模板与评测脚本，提升自动化程度与产线复用度
🛠️ Required Skills
- Proficiency in large language models (LLM/VLM), classic vision models, and image/video generative models
- Experience in data augmentation, synthesis, and physical consistency in images/videos/3D/trajectories
- Skills in building quality evaluation systems for data completeness, accuracy, bias, and spatio-temporal consistency
- Ability to collaborate with algorithm and robotics teams on data strategies and closed-loop processes
- Expertise in integrating large models, APIs, inference services, and reusable pipeline components/Prompt templates
Locations
- Shenzhen, China
Salary
400,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in large language models (LLM/VLM), classic vision models, and image/video generative modelsintermediate
- Experience in data augmentation, synthesis, and physical consistency in images/videos/3D/trajectoriesintermediate
- Skills in building quality evaluation systems for data completeness, accuracy, bias, and spatio-temporal consistencyintermediate
- Ability to collaborate with algorithm and robotics teams on data strategies and closed-loop processesintermediate
- Expertise in integrating large models, APIs, inference services, and reusable pipeline components/Prompt templatesintermediate
Responsibilities
- 基于开源/商用基座大模型（LLM/VLM）、经典视觉模型、与图像视频生成式模型，构建自动数据理解与自标注能力，规模化抽取物体语义、场景语义、人类意图、对象与人-物交互关系、时序与因果等高价值信息
- 研发数据增广与合成方案，开展图像/视频/3D/轨迹层面的多样性增广与物理一致性合成，进行场景重建与对象重组，补齐长尾样本与难例数据
- 建立覆盖完整性、准确性、偏差、时空一致性与可学习性的质量评估与度量体系，构建自动化评测基准，驱动数据闭环迭代与效果归因
- 与算法/机器人团队协同，围绕操作模型与感知模型的训练目标制定数据策略，开展“数据—训练—评估—回收”的闭环，量化提升数据利用效率与模型收敛速度
- 集成各类大模型与工具生态，编排模型API与推理服务，沉淀可复用的管道组件、Prompt模板与评测脚本，提升自动化程度与产线复用度
Tags & Categories
Answer 10 quick questions to check your fit for 数据引擎工程师（具身智能） @ Tencent.
Related Books and Jobs