世界模型研发工程师 北京、上海、苏州 社招 全职 互联网 / 电子 / 网游 职位描述 负责自动驾驶领域世界模型(World Model)相关算法设计,推进世界模型在闭环仿真、稀有数据生成、端到端闭环训练等领域的落地和应用;负责模型训练与工程实现,搭建并优化大规模训练pipeline,包括数居集处理、训练加速、推理加速等,并建设模型评估体系(fidelity, controllability,consistency,generalization) 职位要求 计算机、自动化、人工智能、电子工程、数学等相关专业硕士上及以上学历,有良好的数理基础,熟悉概率论线性代数、优化理论等数学基础;熟悉深度学习原理,熟练Pytorch框架,分布式训练,良好的工程实现能力和代码规范;有3DGS、Diffusion、视频生成等领域的算法研发和落地经验:具备较强的学习能力,逻辑及沟通能力,问题分析解决能力,以及良好的团队合作精神;有自动驾驶相关研发经验、视频生成研发经验或有相关论文者优先 投递...
多模态大模型算法工程师（VLM / 自动驾驶方向） 北京、苏州 社招 全职 研发 - 工程 / 机械 职位描述 我们团队主要围绕多模态大模型（VLM）在自动驾驶场景中的落地应用展开，重点关注模型能力在真实数据与业务中的有效转化，并持续建设高质量数据闭环体系。该岗位将参与模型研发与工程落地的完整流程，同时在部分方向上探索前沿方法的可行性。你将参与的工作包括：- 推动多模态大模型（VLM）在自动驾驶场景中的应用与优化 - 结合实际业务需求，设计并迭代数据闭环（Data Mining / 数据构建 / 自动标注等） - 参与模型训练流程的优化（如数据构建、SFT、评估等） - 在具体问题上尝试引入新的模型范式（如生成式方法、时序建模等）并验证效果 - 与感知、预测、规划等工程团队协作，推动模型在系统中的落地 - 在条件合适的情况下，支持相关方向的技术总结与论文发表 职位要求 - 硕士及以上学历，计算机、自动化、数学或相关专业 - 扎实的编程能力（Python / C++），熟悉常见深度学习框架（如
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