腾讯智能座舱-多模态大模型数据专家
Tencent
腾讯智能座舱-多模态大模型数据专家
Job Description
腾讯智能座舱-多模态大模型数据专家
📋 Job Overview
The role focuses on building automated and efficient data processing pipelines for pre-training and post-training of multimodal large models in intelligent cockpit scenarios. Responsibilities include developing tools for data handling, establishing quality assessment systems, and collaborating with algorithm teams to optimize model performance through data-driven strategies. This position drives data optimization to support continuous model iteration and business needs in Tencent's intelligent systems.
📍 Location: Beijing, China
🏢 Business Unit: CSIG
📄 Full Description
1.面向智能座舱场景下多模态大模型的预训练、后训练数据需求，构建自动化、高效率的数据处理管线（涵盖数据抓取、清洗、合成、质量评估与版本管理），优化组件性能，确保稳定性和可扩展性；
2.开发自动化数据处理工具与脚本，优化数据清洗、标注及合成的效率和规模化能力；
3.建立数据质量评估指标体系与自动化检测机制，通过数据实验分析识别样本不足、质量问题、配比不均衡等潜在问题，驱动数据优化并量化数据对模型效果的提升；
4.与算法团队深度协作，理解模型训练需求与业务场景特性，定制数据策略，分析挖掘数据资源，支持模型持续迭代，推动数据驱动的模型性能优化。
2.开发自动化数据处理工具与脚本，优化数据清洗、标注及合成的效率和规模化能力；
3.建立数据质量评估指标体系与自动化检测机制，通过数据实验分析识别样本不足、质量问题、配比不均衡等潜在问题，驱动数据优化并量化数据对模型效果的提升；
4.与算法团队深度协作，理解模型训练需求与业务场景特性，定制数据策略，分析挖掘数据资源，支持模型持续迭代，推动数据驱动的模型性能优化。
🎯 Key Responsibilities
- Build automated, high-efficiency data processing pipelines covering data crawling, cleaning, synthesis, quality assessment, and version management for multimodal large models in intelligent cockpit scenarios, optimizing component performance for stability and scalability
- Develop automated data processing tools and scripts to enhance efficiency and scalability in data cleaning, annotation, and synthesis
- Establish data quality assessment metrics and automated detection mechanisms, analyze data experiments to identify issues like sample shortages, quality problems, and imbalances, drive data optimization, and quantify improvements in model performance
- Collaborate deeply with algorithm teams to understand training needs and business scenarios, customize data strategies, analyze and mine data resources, support continuous model iteration, and promote data-driven model performance optimization
✅ Required Qualifications
- Experience in data processing for AI models, particularly multimodal large models
- Background in intelligent cockpit or automotive AI scenarios
- Proficiency in building scalable data pipelines
⭐ Preferred Qualifications
- Experience with data synthesis and version management in large-scale AI projects
- Knowledge of Tencent's ecosystem or similar tech environments
- Advanced skills in data experimentation and model impact quantification
🛠️ Required Skills
- Data pipeline development and automation
- Scripting and tool development for data cleaning, annotation, and synthesis
- Data quality assessment and experimental analysis
- Collaboration with cross-functional teams (e.g., algorithms)
- Problem-solving in data imbalances and model optimization
- Knowledge of multimodal AI models and intelligent systems
Locations
- Beijing, China
Salary
Estimated Salary Rangemedium confidence
300,000 - 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
- Data pipeline development and automationintermediate
- Scripting and tool development for data cleaning, annotation, and synthesisintermediate
- Data quality assessment and experimental analysisintermediate
- Collaboration with cross-functional teams (e.g., algorithms)intermediate
- Problem-solving in data imbalances and model optimizationintermediate
- Knowledge of multimodal AI models and intelligent systemsintermediate
Required Qualifications
- Experience in data processing for AI models, particularly multimodal large models (experience)
- Background in intelligent cockpit or automotive AI scenarios (experience)
- Proficiency in building scalable data pipelines (experience)
Preferred Qualifications
- Experience with data synthesis and version management in large-scale AI projects (experience)
- Knowledge of Tencent's ecosystem or similar tech environments (experience)
- Advanced skills in data experimentation and model impact quantification (experience)
Responsibilities
- Build automated, high-efficiency data processing pipelines covering data crawling, cleaning, synthesis, quality assessment, and version management for multimodal large models in intelligent cockpit scenarios, optimizing component performance for stability and scalability
- Develop automated data processing tools and scripts to enhance efficiency and scalability in data cleaning, annotation, and synthesis
- Establish data quality assessment metrics and automated detection mechanisms, analyze data experiments to identify issues like sample shortages, quality problems, and imbalances, drive data optimization, and quantify improvements in model performance
- Collaborate deeply with algorithm teams to understand training needs and business scenarios, customize data strategies, analyze and mine data resources, support continuous model iteration, and promote data-driven model performance optimization
Tags & Categories
Answer 10 quick questions to check your fit for 腾讯智能座舱-多模态大模型数据专家 @ Tencent.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
腾讯智能座舱-多模态大模型数据专家
Tencent
腾讯智能座舱-多模态大模型数据专家
Job Description
腾讯智能座舱-多模态大模型数据专家
📋 Job Overview
The role focuses on building automated and efficient data processing pipelines for pre-training and post-training of multimodal large models in intelligent cockpit scenarios. Responsibilities include developing tools for data handling, establishing quality assessment systems, and collaborating with algorithm teams to optimize model performance through data-driven strategies. This position drives data optimization to support continuous model iteration and business needs in Tencent's intelligent systems.
📍 Location: Beijing, China
🏢 Business Unit: CSIG
📄 Full Description
1.面向智能座舱场景下多模态大模型的预训练、后训练数据需求，构建自动化、高效率的数据处理管线（涵盖数据抓取、清洗、合成、质量评估与版本管理），优化组件性能，确保稳定性和可扩展性；
2.开发自动化数据处理工具与脚本，优化数据清洗、标注及合成的效率和规模化能力；
3.建立数据质量评估指标体系与自动化检测机制，通过数据实验分析识别样本不足、质量问题、配比不均衡等潜在问题，驱动数据优化并量化数据对模型效果的提升；
4.与算法团队深度协作，理解模型训练需求与业务场景特性，定制数据策略，分析挖掘数据资源，支持模型持续迭代，推动数据驱动的模型性能优化。
2.开发自动化数据处理工具与脚本，优化数据清洗、标注及合成的效率和规模化能力；
3.建立数据质量评估指标体系与自动化检测机制，通过数据实验分析识别样本不足、质量问题、配比不均衡等潜在问题，驱动数据优化并量化数据对模型效果的提升；
4.与算法团队深度协作，理解模型训练需求与业务场景特性，定制数据策略，分析挖掘数据资源，支持模型持续迭代，推动数据驱动的模型性能优化。
🎯 Key Responsibilities
- Build automated, high-efficiency data processing pipelines covering data crawling, cleaning, synthesis, quality assessment, and version management for multimodal large models in intelligent cockpit scenarios, optimizing component performance for stability and scalability
- Develop automated data processing tools and scripts to enhance efficiency and scalability in data cleaning, annotation, and synthesis
- Establish data quality assessment metrics and automated detection mechanisms, analyze data experiments to identify issues like sample shortages, quality problems, and imbalances, drive data optimization, and quantify improvements in model performance
- Collaborate deeply with algorithm teams to understand training needs and business scenarios, customize data strategies, analyze and mine data resources, support continuous model iteration, and promote data-driven model performance optimization
✅ Required Qualifications
- Experience in data processing for AI models, particularly multimodal large models
- Background in intelligent cockpit or automotive AI scenarios
- Proficiency in building scalable data pipelines
⭐ Preferred Qualifications
- Experience with data synthesis and version management in large-scale AI projects
- Knowledge of Tencent's ecosystem or similar tech environments
- Advanced skills in data experimentation and model impact quantification
🛠️ Required Skills
- Data pipeline development and automation
- Scripting and tool development for data cleaning, annotation, and synthesis
- Data quality assessment and experimental analysis
- Collaboration with cross-functional teams (e.g., algorithms)
- Problem-solving in data imbalances and model optimization
- Knowledge of multimodal AI models and intelligent systems
Locations
- Beijing, China
Salary
Estimated Salary Rangemedium confidence
300,000 - 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
- Data pipeline development and automationintermediate
- Scripting and tool development for data cleaning, annotation, and synthesisintermediate
- Data quality assessment and experimental analysisintermediate
- Collaboration with cross-functional teams (e.g., algorithms)intermediate
- Problem-solving in data imbalances and model optimizationintermediate
- Knowledge of multimodal AI models and intelligent systemsintermediate
Required Qualifications
- Experience in data processing for AI models, particularly multimodal large models (experience)
- Background in intelligent cockpit or automotive AI scenarios (experience)
- Proficiency in building scalable data pipelines (experience)
Preferred Qualifications
- Experience with data synthesis and version management in large-scale AI projects (experience)
- Knowledge of Tencent's ecosystem or similar tech environments (experience)
- Advanced skills in data experimentation and model impact quantification (experience)
Responsibilities
- Build automated, high-efficiency data processing pipelines covering data crawling, cleaning, synthesis, quality assessment, and version management for multimodal large models in intelligent cockpit scenarios, optimizing component performance for stability and scalability
- Develop automated data processing tools and scripts to enhance efficiency and scalability in data cleaning, annotation, and synthesis
- Establish data quality assessment metrics and automated detection mechanisms, analyze data experiments to identify issues like sample shortages, quality problems, and imbalances, drive data optimization, and quantify improvements in model performance
- Collaborate deeply with algorithm teams to understand training needs and business scenarios, customize data strategies, analyze and mine data resources, support continuous model iteration, and promote data-driven model performance optimization
Tags & Categories
Answer 10 quick questions to check your fit for 腾讯智能座舱-多模态大模型数据专家 @ Tencent.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs