大模型算法专家-模型数据研究
Core
Research and development of large model post-training algorithms (SFT, RL) and vertical domain models (code, translation, multi-modal), including agent core algorithms like task planning, RAG, and tool calling.
Role type
Senior IC large model algorithm expert (model data research)
Builds
Vertical domain large model solutions and intelligent agent systems
Domain
Artificial Intelligence / Large Language Models / Multi-modal AI
Deliverable
production ML models
Required skills
SFT (Supervised Fine-Tuning), RL (Reinforcement Learning), data synthesis, data analysis, automatic labeling, quality filtering, deep learning frameworks (PyTorch, TensorFlow), multi-modal data synthesis, code structure analysis, image-text fusion, data cleaning, data quality assessment
Preferred skills
Publications in top-tier conferences (ACL, ICLR, NeurIPS, CVPR), awards in AI competitions (ACM, Kaggle), leadership in influential AI open-source or closed-source projects
Technologies
PyTorch, TensorFlow, RAG, FC, MCP
Responsibilities
Optimize model training processes and enhance model generalization and adaptability; Design and optimize algorithms for intelligent agents including task planning, memory management, and tool calling; Collaborate with data, product, and engineering teams across the full lifecycle from data preparation to model deployment.
Seniority
Senior, hands-on IC
