agentic算法实习生
北京
校招
实习
技术 - 算法
职位 ID:A123256
职位描述
面壁智能基础模型团队,方向聚焦于提升端侧、云侧自研模型在复杂 Agentic 场景下的表现。通过优化多轮交互、多工具协同、多跳信息检索、多文件操作、长程任务执行、错误恢复与闭环交付等方面的能力,实现模型的跨 harness 泛化。 岗位职责: 以模型训练为核心,参与 data-infra-algorithm-eval 的全流程闭环: 1、构建大规模任务与环境合成管线,实现高质量训练数据的快速获取; 2、优化训练 recipe,探索 mid-train, sft, rl, opd 的有机结合; 3、形成独到的数据选择及加权策略,逐步拓宽模型的能力边界; 4、在 agentic training 中持续 scaling,保证大规模异步强化学习的高效与稳定; 5、设计更为精细的评测和长轨迹信用分配方法,引导模型习得良好的解题模式;
职位要求
1、Base 北京,持续实习 6 个月及以上,硕士 or 博士在读(优秀本科生也可投递); 2、具备分布式训练经验,熟悉 MoE 模型的 post-train 流程; 3、能够高效利用 AI 工具,可以依据实验结果进行快速归因。 加分项: 1、拥有基座模型研发经验,对于模型训练、Infra 优化有深入理解; 2、在 NeurIPS / ICML / ICLR / ACL / EMNLP / SIGIR 等顶级学术会议发表过有切实应用价值的工作,或主导过高影响力的开源项目。
投递

ModelBest established in August 2022, is an Artificial Intelligence technology company headquartered in Beijing, China. The company is deeply rooted in the field of general AI, with a focus on the innovation and application transformation of large-scale models. ModelBest boasts a prestigious founding R&D team from the Tsinghua in the AI field. Leveraging numerous cutting-edge technologies in natural language processing, the company is currently constructing a large-scale pre-trained model library and corresponding tools, aiming to standardize the technology and applications of large models.
Based on the capabilities of the CPM series of large models, ModelBest has successfully facilitated the intelligent upgrade and efficiency enhancement of various industries. Moreover, the company has released a multi-modal dialog assistant with hundreds of billions of parameters, “Luca", to the public. Adhering to the core philosophy of "intelligence encompassing all", we look forward to exploring and expanding unknown possibilities with global partners, aiming to ensure AI technology serves humanity for a better life in a safe and inclusive manner, laying a solid foundation for the advent of the AGI world.
OpenBMB (Open Lab for Big Model Base,https://github.com/OpenBMB), founded by ModelBest Inc & TsinghuaNLP, aims to build foundation models and systems towards AGI.