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51
具身强化学习算法工程师
51WORLD · 上海市
About The Role
- 1.负责前沿VLA 模型的架构剖析、微调与落地;
- 2.针对具体真实/仿真场景,完成数据适配、SFT/RL 微调及端侧部署优化;
- 3.参与具身智能后训练平台的建设,负责任务配置、资源调度、任务队列、日志监控、模型仓库及评估入口的开发;
- 4.探索将世界生成模型与 VLA 融为一体的技术架构,实现动作序列预测与状态生成的端对端展开。
- 1.计算机科学、人工智能、机器人学、自动化、软件工程、数学等相关专业在校生(本科及以上学历,硕士/博士优先);
- 2.熟练掌握 Python,熟悉 PyTorch 框架,具备扎实的算法与数据结构基础;
- 3.熟悉 Transformer、VLM、Diffusion Model / Flow Matching 等生成模型底层原理;
- 4.熟练使用 Isaac Lab、Isaac Sim、MuJoCo 或 Robosuite/RoboCasa 等物理仿真平台;
- 5.了解机器人运动学/动力学,熟悉开源 VLA或 Diffusion Policy 调优经验者优先。
- 6.在 ICRA、IROS、RSS、CoRL、CVPR、NeurIPS、ICLR 等机器人/AI 顶级会议上发表过论文者优先;
- 在Github 等代码仓库上开源有一定影响力工具、系统者优先。
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