AI大模型工程师
Core
Build, quality-assure, and analyze pre-training and post-training data for large language, multi-modal, and spatial intelligence models; research data synthesis and simulation to enhance model capabilities.
Role type
Senior IC large model data engineer and researcher
Builds
High-quality datasets for foundation model training and industry model tuning; tools and platforms for data engineering and version management
Domain
Artificial Intelligence / Large Language Models / Data Engineering
Deliverable
production ML models
Required skills
Data engineering, data synthesis, data quality assurance, distributed parallel software development, deep learning frameworks, model architecture understanding, sampling and ratio strategies for multi-modal data
Preferred skills
Language/voice/multi-modal/spatial intelligence model training and deployment, data analysis, model validation
Technologies
Deep learning frameworks, distributed computing environments
Responsibilities
Construct high-order data for long-context understanding and long-trajectory interaction; optimize data sampling and ratio strategies across multiple domains and tasks; lead analysis and planning of frontier technologies in large model data
Seniority
Senior, hands-on IC