语言大模型资深科学家
Core
Designing and optimizing end-to-end large language model systems, focusing on architecture, distributed training, and performance for real-world scenarios.
Role type
Senior IC machine-learning scientist (large language models)
Builds
Production large language models with optimized training efficiency and inference latency
Domain
Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
Large language model architecture design, distributed training strategies, model convergence tuning, long-sequence processing optimization, algorithm innovation, end-to-end system implementation
Preferred skills
Deep understanding of LLM evolution trends, productization of research, leadership in technical direction
Technologies
Distributed computing frameworks, large-scale training infrastructure
Responsibilities
Design innovative system architectures for full-stack LLM development; Solve core challenges in long-sequence training and inference efficiency; Lead technical strategy and breakthroughs in LLM architecture and algorithms; Translate advanced research into deployed products.