Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of
RWE Supply & Trading (Shanghai) Co. Ltd. To start as soon as possible, full time /fixed term Functional area: Commercial / Trading About the role As a Commodity Analyst, you possess a comprehensive understanding of commodity
Key responsibilities The Cloud and Data Engineer will be responsible for the development, implementation, operation, maintenance, and support of the data, middleware, and IT infrastructure used by R&D units across Novo Nordisk, both on-premises and in
Location:Beijing, China Job ID: R0133316 Date Posted:2026-06-15 Company Name:HITACHI ENERGY POWER SYSTEM CO., LTD. Profession (Job Category):Administration & Facilities Job Schedule: Full time Remote:No Job Description: The opportunity Hitachi Energy is a global technology leader that
Are you excited to design and operate large‑scale data platforms that power global research and innovation? Do you enjoy collaborating across teams to build reliable, compliant, cloud‑based data solutions? About our Team Elsevier is a global
Are you excited to design and operate large‑scale data platforms that power global research and innovation? Do you enjoy collaborating across teams to build reliable, compliant, cloud‑based data solutions? About our Team Elsevier is a global
端到端算法实习生 北京 校招 实习 算法类 职位描述 1. 探索自动驾驶领域感知模型算法的研究和优化，持续探索感知模型的时空表征、感知能力；2. 探索自动驾驶领域端到端模型、多模态大模型、强化学习等前沿技术算法的研发和优化； 职位要求 1. 扎实的C++或Python语言知识及熟练运用， 熟练使用pytorch/tensorflow等其中一种深度学习框架；2. 在自动驾驶相关的感知算法（3D Detection/Segmentation，Occupancy Network，多传感器融合，深度估计等）中的一个或多个领域有过科研经历；3. 优秀的沟通、学习及自我驱动能力；出色的团队合作意识；4. 有多模态大模型，端到端自动驾驶模型相关科研、项目经历者优先；5. 计算机，数学，机器学习，机器人，自动驾驶或相关专业优先；6. 具备学术论文、优秀开源项目、高水平竞赛获奖者优先。 投递...
足式机器人运动控制算法工程师实习生（强化学习） 北京 校招 实习 算法类 职位描述 1. 开发基于强化/模仿学习的机器人行走及全身控制策略；2. 开发复杂地形下基于视觉的强化学习行走策略；3. 负责算法策略的训练与移植部署，实现算法sim-to-real在机器人实机上落地应用；4. 持续跟踪国内外前沿研究成果，并进行相关算法复现；5. 编写相关技术文档，推动团队技术沉淀与知识共享。 职位要求 1. 硕士及以上学历，机器人、计算机、机械工程、人工智能、应用数学等专业，数学、英语能力扎实，具有较强的学习与研究能力；2. 掌握主流的强化学习算法，如：PPO、DQN、DDPG、SAC等；3. 掌握机器人学习中的广泛使用的训练方法和模型架构，如：教师学生模型（Teacher-Student Network），课程学习（Curriculum Learning），域随机化（Domain Randomization），混合专家模型（MoE）等；4. 熟悉Mujoco、IsaacGym、IsaacLab等机器人仿真平台；5. 有足式机器人强化学习算法的实机调试和sim-to-real经验者优先，有基于模型/优化等传统控制经验者优先；6. 扎实的C++、Python编程能力，熟悉Pytorch等机器学习框架，熟悉Linux，Git，ROS等开发环境和工具。 投递...
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Machine Learning Engineering General Summary: About us: We are Qualcomm AI Research that are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Machine Learning Engineering General Summary: Qualcomm AI Research is looking for world-class algorithms engineers in general domain machine learning, especially generative AI, LLM, LVM, VLM and omni models.
Join our Team 5G RAN Integration Engineer About this opportunity The work area is at the forefront of 5G RAN technology, providing customer with fast deployment，technical support and service delivery for 5G network. As a support engineer,
Company: Qualcomm China Job Area:Engineering Group, Engineering Group Systems Engineering General Summary: We are seeking an engineer with strong software development skills and a solid understanding of robotic systems, focused on designing robotic software architecture and
Responsibilities: Be responsible for one or more LSEG Software Systems design, development and support. Work with Project Managers and/or Product Manager to ensure the delivery of high quality software on time. Working with Product team and
足式机器人运动控制算法工程师（强化学习） 北京 社招 全职 职位 ID：A200582 职位描述 1. 开发基于强化/模仿学习的机器人行走及全身控制策略； 2. 开发复杂地形下基于视觉的强化学习行走策略；3. 负责算法策略的训练与移植部署，实现算法sim-to-real在机器人实机上落地应用； 4. 持续跟踪国内外前沿研究成果，并进行相关算法复现；5. 编写相关技术文档，推动团队技术沉淀与知识共享。 职位要求 1. 硕士及以上学历，机器人、计算机、机械工程、人工智能、应用数学等专业，数学、英语能力扎实，具有较强的学习与研究能力；2. 掌握主流的强化学习算法，如：PPO、DQN、DDPG、SAC等；3. 掌握机器人学习中的广泛使用的训练方法和模型架构，如：教师学生模型（Teacher-Student Network），课程学习（Curriculum Learning），域随机化（Domain Randomization），混合专家模型（MoE）等； 4. 熟悉Mujoco、IsaacGym、IsaacLab等机器人仿真平台；5. 具备足式机器人强化学习算法的实机调试和sim-to-real经验，有基于模型/优化等传统控制经验者优先； 6. 扎实的C++、Python编程能力，熟悉Pytorch等机器学习框架，熟悉Linux，Git，ROS等开发环境和工具。 投递...
Tätigkeitsbereich:Forschung & Entwicklung incl. Design Fachabteilung:Vehicle Components & Tech Center China Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Mercedes-Benz Group China Ltd., Beijing Startdatum:06.07.2026 Veröffentlichungsdatum:02.07.2026 Stellennummer:MER00044ZK Arbeitszeit:Vollzeit Bewerben Aufgaben Objective: Responsible for FMU-based simulation test bench development and virtual