数据算法工程师（具身智能方向） - 数据平台
Core
Develop and deploy Data+AI algorithms for embodied intelligence, robotics, and humanoid robots, enabling multimodal data capabilities to transition from perception/understanding to decision-making and execution.
Role type
Senior IC embodied intelligence algorithm engineer (VLA, multimodal)
Builds
To B data and AI products for embodied intelligence, including multimodal data processing and quality optimization pipelines.
Domain
Robotics, Embodied AI, Multimodal Large Models
Deliverable
production ML models
Required skills
Machine learning, deep learning, multimodal large models, Python, PyTorch/TensorFlow, LLM/MLLM/VLA pretraining/fine-tuning, reinforcement learning, imitation learning, vision-language-action data, 3D perception, action trajectory modeling, pose estimation, multimodal alignment, Sim-to-Real
Preferred skills
Publications in top AI/robotics conferences, open-source or scaled industrial projects in embodied AI/robotics/multimodal models
Technologies
Python, PyTorch, TensorFlow, VLA, LLM, MLLM, 3D vision, simulation platforms
Responsibilities
Research and develop algorithms for visual, language, action, trajectory, 3D pose, and object interaction data; automate data processing and optimize quality; collaborate with model research, data engineering, and product teams to productize and scale algorithm solutions.