Algorithm Engineer

Research on Embodied Foundation Models

• Optimize 3D physical field simulation and rendering algorithms;
• Develop efficient causal inference frameworks supporting counterfactual intervention analysis, probabilistic causal graph modeling, and uncertainty quantification;
• Build neuro-symbolic hybrid systems that integrate deep learning with symbolic logic rules to enhance model interpretability and compliance with physical laws;
• Enable online learning and adaptive mechanisms in dynamic environments.

京东TGT（顶尖青年技术天才计划）欢迎2024届至2027届毕业生投递

课题：具身基础模型研究

岗位职责

1、优化三维物理场仿真与渲染算法；

2、研发高效因果推理框架，支持反事实干预分析、概率因果图建模及不确定性量化；

3、开发神经符号混合系统，融合深度学习与符号逻辑规则，提升模型可解释性与物理规律符合性；

4、实现动态环境下的在线学习与自适应机制。