具身大模型评测与数据工程师
Core
Design and implement multi-level evaluation systems (simulation and real-world) for embodied AI models covering perception, reasoning, manipulation, and long-horizon tasks.
Role type
Senior IC embodied AI evaluation and data engineer
Builds
Automated evaluation pipelines, reusable benchmarks, and high-quality multimodal datasets for pre-training and RL
Domain
Robotics + Embodied AI
Deliverable
production ML models
Required skills
Embodied AI evaluation methodology, Python, PyTorch, multimodal data engineering, data annotation and governance, statistical significance analysis
Preferred skills
Cross-embodiment generalization strategies, simulation-to-real consistency validation, RL data collection strategies
Technologies
Python, PyTorch
Responsibilities
Design and implement multi-level evaluation systems for embodied AI models; Develop cross-embodiment generalization evaluation schemes; Define multimodal data collection strategies for pre-training and RL; Establish data annotation and quality governance workflows
