机器人多模态大模型算法工程师
Tasks
- Build dataset for multimodal robot operations
- Build multimodal understanding for human robot interaction
- Create task decomposition and action modules
- Deploy models to robotic arms and optimize inference latency
- Design language to robot end to end pick and place policy
- Develop multimodal perception and cross modal alignment
- Implement data annotation standards for grasp success and alignment
- Implement open vocabulary object recognition and localization
- Integrate with motion planning control and SLAM
- Plan grasp points and placement poses
- Train multimodal models with pretraining finetuning and reinforcement learning
- Write reliable Python and C++ code with testing and CI
Perks/Benefits
- N/A
Skills/Tech-stack
Automatic testing | C++ | Continuous integration | Contrastive Learning | Cross-modal alignment | Data Annotation | Dataset Engineering | Grasp Planning | Imitation Learning | Language Models | Linux | Modal Alignment | Motion Planning | Multimodal Learning | Object recognition | Open Vocabulary | Pose Planning | Python | Reinforcement Learning | Robotics manipulation | SLAM | Self-Supervised Learning | Self-supervised | Supervised Learning | Transformer | Vision Language Models | Vision-language
Education
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