混元数据算法工程师（北京）
Tencent
混元数据算法工程师（北京）
Job Description
混元数据算法工程师（北京）
📋 Job Overview
The Data Algorithm Engineer position at Tencent focuses on developing algorithms for understanding and processing massive multimodal data including text, images, videos, audio, and 3D content. Responsibilities include building data pipelines for collection, cleaning, annotation, and quality assessment, while collaborating with model teams to automate processes supporting continuous model iteration. The role also involves detailed data analysis to identify and resolve issues like sample deficiencies and imbalances, driving improvements in data quality, diversity, and overall large model performance.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.数据pipeline建设：负责数据采集、筛选清洗、标注与质量评估pipeline的建设。与模型业务团队紧密配合，充分分析挖掘数据资源，建立自动化数据处理流程与机制，支持模型持续迭代；
3.数据实验分析：对模型训练数据进行详细分析，建立科学数据实验机制，识别样本不足、质量问题、配比不均衡等潜在问题，驱动数据优化提升数据覆盖、质量、多样性需求，最终带来大模型生成效果的持续提升。
🎯 Key Responsibilities
- Develop algorithms for content understanding of massive text and multimodal data (images, videos, audio, 3D), including classification labeling systems, embedding representations, caption generation, quality detection (low-quality identification, aesthetic evaluation), deduplication/clustering analysis, and data synthesis.
- Build data pipelines for data collection, screening and cleaning, annotation, and quality assessment. Collaborate closely with model business teams to analyze and mine data resources, establish automated data processing workflows and mechanisms to support continuous model iteration.
- Conduct detailed analysis of model training data, establish scientific data experimentation mechanisms, identify potential issues such as sample shortages, quality problems, and imbalanced ratios, drive data optimization to enhance coverage, quality, and diversity, ultimately improving large model generation effects.
Locations
- Shenzhen, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Develop algorithms for content understanding of massive text and multimodal data (images, videos, audio, 3D), including classification labeling systems, embedding representations, caption generation, quality detection (low-quality identification, aesthetic evaluation), deduplication/clustering analysis, and data synthesis.
- Build data pipelines for data collection, screening and cleaning, annotation, and quality assessment. Collaborate closely with model business teams to analyze and mine data resources, establish automated data processing workflows and mechanisms to support continuous model iteration.
- Conduct detailed analysis of model training data, establish scientific data experimentation mechanisms, identify potential issues such as sample shortages, quality problems, and imbalanced ratios, drive data optimization to enhance coverage, quality, and diversity, ultimately improving large model generation effects.
Tags & Categories
Answer 10 quick questions to check your fit for 混元数据算法工程师（北京） @ Tencent.
Related Books and Jobs
混元数据算法工程师（北京）
Tencent
混元数据算法工程师（北京）
Job Description
混元数据算法工程师（北京）
📋 Job Overview
The Data Algorithm Engineer position at Tencent focuses on developing algorithms for understanding and processing massive multimodal data including text, images, videos, audio, and 3D content. Responsibilities include building data pipelines for collection, cleaning, annotation, and quality assessment, while collaborating with model teams to automate processes supporting continuous model iteration. The role also involves detailed data analysis to identify and resolve issues like sample deficiencies and imbalances, driving improvements in data quality, diversity, and overall large model performance.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.数据pipeline建设：负责数据采集、筛选清洗、标注与质量评估pipeline的建设。与模型业务团队紧密配合，充分分析挖掘数据资源，建立自动化数据处理流程与机制，支持模型持续迭代；
3.数据实验分析：对模型训练数据进行详细分析，建立科学数据实验机制，识别样本不足、质量问题、配比不均衡等潜在问题，驱动数据优化提升数据覆盖、质量、多样性需求，最终带来大模型生成效果的持续提升。
🎯 Key Responsibilities
- Develop algorithms for content understanding of massive text and multimodal data (images, videos, audio, 3D), including classification labeling systems, embedding representations, caption generation, quality detection (low-quality identification, aesthetic evaluation), deduplication/clustering analysis, and data synthesis.
- Build data pipelines for data collection, screening and cleaning, annotation, and quality assessment. Collaborate closely with model business teams to analyze and mine data resources, establish automated data processing workflows and mechanisms to support continuous model iteration.
- Conduct detailed analysis of model training data, establish scientific data experimentation mechanisms, identify potential issues such as sample shortages, quality problems, and imbalanced ratios, drive data optimization to enhance coverage, quality, and diversity, ultimately improving large model generation effects.
Locations
- Shenzhen, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Develop algorithms for content understanding of massive text and multimodal data (images, videos, audio, 3D), including classification labeling systems, embedding representations, caption generation, quality detection (low-quality identification, aesthetic evaluation), deduplication/clustering analysis, and data synthesis.
- Build data pipelines for data collection, screening and cleaning, annotation, and quality assessment. Collaborate closely with model business teams to analyze and mine data resources, establish automated data processing workflows and mechanisms to support continuous model iteration.
- Conduct detailed analysis of model training data, establish scientific data experimentation mechanisms, identify potential issues such as sample shortages, quality problems, and imbalanced ratios, drive data optimization to enhance coverage, quality, and diversity, ultimately improving large model generation effects.
Tags & Categories
Answer 10 quick questions to check your fit for 混元数据算法工程师（北京） @ Tencent.
Related Books and Jobs