大模型数据工程高级研究员
Core
Design and optimize end-to-end workflows for multi-source data production, quality assurance, validation, and safety compliance to build efficient data flywheels for large model pre-training and post-training.
Role type
Senior IC large model data engineering researcher
Builds
Efficient data flywheels and next-generation data production/verification pipelines
Domain
Artificial Intelligence / Large Language Models / Data Engineering
Deliverable
production ML models
Required skills
Large model data construction, evaluation, and validation; Distributed data processing; Data deduplication; Synthetic data verification; Data配比 optimization; Multi-modal data handling; Model training/fine-tuning/reinforcement learning data requirements
Preferred skills
Data synthesis/distillation; Multi-language balancing; Cross-modal affinity; Trajectory augmentation
Technologies
Distributed processing frameworks, Data validation tools, Multi-modal data pipelines
Responsibilities
Lead design and optimization of multi-source data production workflows; Breakthrough key data technologies for large-scale distributed processing and retrieval deduplication; Track and lead development of new methods in data synthesis and validation
Seniority
Senior, hands-on IC