西门子西门子中国研究院 大模型AI Agent研究员（上海、北京、苏州）
任职要求
• Master’s degree or above majoring in Artificial Intelligence, Computer Science, Automation, Mathematics or related. • Self-motivated, open-minded, good communication skills and good teamwork. The skills you are expected to have: • Familiar & comfortable when coding in Python & programming on Linux. • Familiar with commonly used deep learning and agent frameworks, e.g., Pytorch, TensorFlow, LangChain, LangGraph, etc. • Practical experience (in-career or academic) on LLMs – open-source model deployment, setting up RAG system, building agents with MCP, etc. • Prefer: Solid understanding about the background & theories of LLMs, agentic workflow, knowledge graph, parallel computing, etc. • Prefer: Hands-on experiences in using Multi-modal Models. • Prefer: High quality research paper(s) published in NLP/AI-related conferences/journals incl., ACL, EMNLP, COLING, AAAI, ICLR, NeurIPS, etc. You'll benefit from • Diverse and inclusive culture, doing the work you like with people who appreciate it • Systematic career development platform, various training courses, and online learning resources for you to help you tailor your growth path based on your strengths • 15 days+ annual leaves, with additional benefits such as Christmas leave • Generous benefits package, long-term care corporate annuity plan, flexible allocation of commercial insurance, employee stock sharing matching plan for mutual growth, etc
工作职责
We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team. DAI AIX – AI Acceleration and Exploration, is working on the cutting-edge research of Data Analytics and AI with Siemens global technology network, and consulting, co-creation, data driven applications for the end customers. Research Scientist is to do applied research for Industrial AI applications in the team. We are seeking a Reinforcement Learning (RL) Specialist to lead the design, implementation, and optimization of RL-driven systems for post-training of foundation models. The primary focus of this role is advancing our RL capabilities for real-world applications such as industrial control systems and LLM agents. You will develop cutting-edge algorithms, improve post-training efficiency, and deploy scalable RL solutions in industry. You'll make an impact by • Research on state-of-the-art data analytics & AI technologies on a general range. • Mainly focus on modern foundation model applications in industrial scenarios1. Context engineering for foundation models2. Development of agent systems for industrial applications3. Task-specific model finetuning • Partially work with multi-modal applications • Participating in both internal & external research projects • Assist deployment of customer development/deployment project
We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team. DAI AIX – AI Acceleration and Exploration, is working on the cutting-edge research of Data Analytics and AI with Siemens global technology network, and consulting, co-creation, data driven applications for the end customers. Research Scientist is to do applied research for Industrial AI applications in the team. We are seeking a Reinforcement Learning (RL) Specialist to lead the design, implementation, and optimization of RL-driven systems for post-training of foundation models. The primary focus of this role is advancing our RL capabilities for real-world applications such as industrial control systems and LLM agents. You will develop cutting-edge algorithms, improve post-training efficiency, and deploy scalable RL solutions in industry. You'll make an impact by • 1. Reinforcement learning development for post-training: • Design and implement state-of-the-art RL algorithms (e.g., PPO, SAC, DQN) for post-training of foundation models like LLMs and time series foundation models. • Implement distributed RL training pipelines using frameworks like Ray RLlib, Deepspeed, or custom solutions. • Design and implement benchmark pipelines for model evaluation. • 2. Align foundation models like LLMs and time series foundation models with specific areas/tasks through techniques like SFT, RL. • 3. Coding & Infrastructure: • Write production-grade Python code using PyTorch, numpy, and pandas. • Manage Linux-based clusters for distributed training and deployment. • 4. All other support required by the line manager if necessary.
根据监管要求及信息安全相关法律法规，开展内部自查，发现并推进整改，消除合规风险； 将法规要求结合公司的业务情况，沉淀为内部规范，与相关部门协作并推进落地； 完善内部安全管理体系，制定和维护相关管理制度、策略、流程及规范； 建立与业务团队良好的沟通协作机制，为业务部门提供合规咨询与方案支持，支持各类数据和隐私相关监管审查和认证等； 推动数据安全、客户信息保护的合规管理体系建设与完善，推动流程规范、技术体系、风险评估与跟踪、风险治理等要求的落地执行。
1. 支持菜鸟物流及供应链跨中国、跨境、海外法律、合规事务； 2. 协助业务商务谈判、处理突发风险事件，提供可行、可操作的解决方案； 3. 支持菜鸟在海外的国家的网络建设和本地化运营； 4. 对新业务类型进行调研及风险分析评估，并提供解决方案； 5. 关注及追踪跨境物流领域的发展动态，并研究境外国家和地区对贸易、物流、清关等业务的要求和法律法规，为业务落地提供支撑。