System 360 Jobs In China - 15 Job Positions Available

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and

Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high-end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are

Key Responsibilities: Relationship Management: Develop strong relationship with target client C level to drive business insights, align teams, grow market, as well as to bring Accenture’s integrated value proposition to the client. Demand Generation: Facilitate and

SummaryImagine what you could do here! At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you

Contracting lawyers in Accenture’s Legal organization coordinate and deliver legal, contract and commercial counsel in support of Accentures business. Our Contracting lawyers identify, manage and mitigate contractual risk, and ensure ethical behavior and compliance with laws

【智谱星】AI院-多模态理解-算法工程师（26届校招） 北京 正式 互联网 / 电子 / 网游 职位描述 【团队介绍】智谱多模态大模型团队是全球领先的多模态研究团队之一，专注于推动视觉语言大模型的认知与推理能力的突破。团队拥有从多模态理解到生成的全栈自研技术体系，依托强大的计算资源和全链路研发能力，持续引领行业创新。团队负责多模态基座模型研发（视觉语言模型+多模态生成模型），先后推出GLM-V系列多模态基座模型，以及GLM-Image、CogView、CogVideo等前沿生成模型。2025年连续发布GLM-4.1V-Thinking、GLM4.5V和GLM-4.6V系列模型，其中GLM-4.1V-Thinking创新性地引入思维链推理机制，采用课程采样强化学习策略，系统性提升模型跨模态因果推理能力与稳定性，在28项业界权威评测中有23项达成10B级模型的最佳成绩(SOTA)；而GLM-4.5V采用MoE架构(总参数106B、激活参数12B)，在100B级视觉推理模型中树立起新的标准，在41个业界主流benchmark上达到同级别SOTA，且OCR、视频理解、AI解题、长文档解读、前端复刻、空间定位与推理等核心能力获得显著提升；GLM-4.6V则在多模态感知和深度推理方面进一步增强，且支持128k long-context、多模态工具调用和图文交错输出，为执行复杂、长程、多模态Agentic任务奠定坚实基础；9B版本的GLM-4.6V-Flash整体表现超过 Qwen3-VL-8B，106B参数12B激活的GLM-4.6V表现比肩2倍参数量的Qwen3-VL-235B。顺应技术发展趋势和业界需求，2026年初团队研发和开源GLM-Image和GLM-OCR。前者是智谱新旗舰图像生成模型，全程基于国产芯片完成训练，采用独创的「自回归+扩散解码器」混合架构，兼顾全局指令理解与局部细节刻画，克服了海报、PPT、科普图等知识密集型场景生成难题，是面向以Nano Banana Pro为代表的新一代「认知型生成」技术范式的一次重要探索。GLM-OCR则是轻量级OCR和文档解析专用模型，以“小尺寸、高精度”树立新标杆，其性能登顶 OmniDocBench，擅长公式、手写体、表格等高难场景，仅 0.9B 参数，推理高效易部署，在HuggingFace上获得超过360万下载量。【岗位职责】技术方向一：学科解题方向，负责VLM的混合SFT/RL训练优化及RL训练的数据处理；技术方向二：reward 方向，负责 reward system 和 verifier model 优化；技术方向三：负责VLM的算法开发和预研，需具备较强的算法自主研究能力（智谱星）；技术方向四：多模态训练框架开发、调优、提速；技术方向五：负责 pretrain 训练数据清洗优化工作；技术方向六：负责多模态智能评估方向。 职位要求 【职位要求】1. 2026届毕业，自然语言处理、机器学习、人工智能、软件工程等相关专业，硕士及以上学历；2. 较强的算法开发能力，熟悉常用的机器学习、深度学习算法；3. 熟练运用Pytorch、transformers、megatron等主流框架；4. 对Transformer的架构有较为深入的理解，了解Transformer的各种变体，有相关的研究经验者优先；5. 具备优秀的代码能力和基础算法功底，有较为丰富的工程经验，有大规模训练经验或大规模数据处理经验。加分项：1. 在ACL，NeurIPS，ICLR，EMNLP，ICML等顶级会议或期刊上发表过论文者优先；2. 熟悉并行训练框架，有多机多卡训练经验者优先。 投递...

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are

We are seeking hands-on Mechanical Engineer in Solutions Architecture Team to support the design and development of robotic hardware systems, with a focus on mechanism design and mechatronics integration. This role will contribute to rapid prototyping, iteration,

SUMMARY OF THE ROLE As the pharmaceutical industry accelerates its digital transformation, Customer Insights and Advanced Analytics have emerged as a core engine driving commercial strategy evolution. This role serves as a critical pillar of the