大模型算法工程师-模型数据
Core
Research and develop data synthesis technologies (code, text, multi-modal) and algorithms to generate high-quality, diverse data for large model training; analyze training data to identify noise and biases; design automated annotation tools and quality filtering systems.
Role type
Senior IC large model algorithm engineer (data)
Builds
Large model training datasets, automated annotation tools, data quality monitoring systems
Domain
Artificial Intelligence / Large Language Models / Data Engineering
Deliverable
production ML models
Required skills
Data synthesis algorithms, statistical analysis, machine learning, deep learning theory, natural language processing, computer vision, automated annotation algorithms, data quality assessment metrics
Preferred skills
Code structure analysis, image-text fusion, data cleaning and filtering practices, high-impact conference publications (ACL, ICLR, NeurIPS, CVPR), AI competition awards, leadership in open-source or closed-source AI projects
Technologies
PyTorch, TensorFlow