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bosch group
智能驾驶强化学习算法科学家_CRbosch group • Shanghai, Shanghai, China
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智能驾驶强化学习算法科学家_CR

智能驾驶强化学习算法科学家_CR

bosch group • Shanghai, Shanghai, China
30 天前
职位描述
  • Company Description* Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. *Job Description* - 针对端到端和 VLA 自动驾驶模型,开展强化学习算法研究与创新. - 探索先进的强化学习方法(如策略优化,在离线 RL,层次化 RL,多智能体 RL),提升算法的鲁棒性和泛化能力. - 探索先进的强化学习方法在自动驾驶领域的应用和拓展. - 设计评测基准,并在复杂动态驾驶场景中开展实验验证. - 与感知,规划,仿真团队协作,将 RL 方法集成到端到端自动驾驶训练框架中. - 形成研究成果,撰写技术文档或对外发表技术报告. - Research and develop novel reinforcement learning algorithms for end-to-end autonomous driving and VLA (Vision-Language-Action) models. - Explore advanced RL techniques (e.g., policy optimization, online / offline RL, hierarchical RL, multi-agent RL) to improve robustness and generalization. - Familiar advanced RL algorithm(e.g. GRPO, GSPO etc.) to improve autonomous driving. - Design benchmarks and conduct experiments to evaluate algorithm performance in dynamic driving environments. - Collaborate with perception, planning, and simulation teams to integrate RL methods into E2E autonomous driving pipelines. - Publish technical reports and document research findings. *Qualifications* 1. 计算机,机器学习,自动化,机器人等相关专业硕士或博士学历. 2. 深入理解强化学习,深度学习与控制理论. 3. 熟悉 PyTorch / TensorFlow 及常用 RL 框架(如 RLlib,Stable-Baselines3). 4. 在自动驾驶,机器人或多智能体系统方向有研究经验者优先. 5. 具备扎实的 Python / C++ 编程能力,熟悉大规模训练. 6. 具备较强的分析与问题解决能力,能够独立开展研究. 7. 具备良好的英文读写能力. 1. Ph.D. degree in Computer Science, Machine Learning, Robotics, or related fields. 2. Strong knowledge of reinforcement learning, deep learning, and control theory. 3. Hands-on experience with PyTorch / TensorFlow and common RL libraries (e.g., RLlib, Stable-Baselines3, etc.). 4. Research background in autonomous driving, robotics, or multi-agent systems is highly preferred. 5. Solid programming skills in Python / C++, good understanding of large-scale training. 6. Strong analytical and problem-solving skills; ability to work independently. 7. English reading / writing proficiency.
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智能驾驶强化学习算法科学家_CR • Shanghai, Shanghai, China