Job Description

【智谱星】26届校招-AI院-大模型算法工程师-Agent北京正式互联网 / 电子 / 网游 - 研发职位描述GLM-4.6: Advanced Agentic, Reasoning and Coding Capabilies
we are releasing the latest version of our flagship model: GLM-4.6. Compared with GLM-4.5, this generation brings several key improvements:
Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks.
Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages.
Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability.
More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks.
Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.
We evaluated GLM-4.6 across eight public benchmarks covering agents, reasoning, and coding. Results show clear gains over GLM-4.5, with GLM-4.6 also holding competitive advantages over leading domestic and international models such as DeepSeek-V3.2-Exp and Claude Sonnet 4, but still lags behind Claude Sonnet 4.5 in coding ability.职位要求【工作职责】
1. 高阶推理能力提升：针对DeepResearch、CodeAgent等复杂推理任务开发专门的能力提升方案；探索长思维链推理机制，提升模型在Agent相关任务上的表现和泛化能力
2. 复杂推理训练扩展性研究：探索模型通过长思维链推理在Agent相关任务上的效果提升；实现不同- Agent任务间的能力迁移和扩展
3. 对齐训练范式探索：探索新型对齐训练范式，整合多类型监督信号进行训练优化；研究不同监督条件下的训练可扩展性，推动后训练效果向预训练scaling效果靠拢
4. 对齐数据构造与优化：针对特定能力领域（数学、代码、复杂推理等）进行数据构造、筛选和优化；设计数据合成策略，控制对齐数据的质量和多样性
【职位要求】
1. 985高校计算机、电子、自动化等相关专业硕士或博士学位(优秀本科生亦可考虑)
2. 深入理解常用的大模型算法；具备后训练及数据处理相关项目经验者优先
3. 在CCF-A类会议发表过相关论文者优先考虑
4. 熟练运用Pytorch、transformers、megatron等主流框架
5. 工作态度认真负责,具备良好的团队协作能力
【加分项】
6. 在ACL，NeurIPS，ICLR，EMNLP，ICML等顶级会议或期刊上发表过论文者优先；
7. 熟悉并行训练框架，有多机多卡训练经验者优先。 投递