Multimodal AI Agent Algorithm Engineer

Multimodal AI Agent Algorithm Engineer圣何塞全职智能制造 / 工业互联网 / 工业自动化职位描述· Responsible for the exploration and implementation of intelligent agent algorithms for the smart cockpit at Li Auto, promoting their application in scenarios such as dialogue systems, decision-making control, and multi-task interaction, while continuously enhancing the user’s intelligent experience. · Explore the design of agent architectures driven by large models, including but not limited to task planning, memory management, tool invocation, multimodal perception, and reasoning. · Lead the research, development, and optimization of algorithms that combine large models with intelligent agents, optimizing the integration of large models with reinforcement learning, knowledge graphs, environmental simulators, etc., to enhance the autonomy and generalization ability of intelligent agents.职位要求· Master’s degree or above in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Vision, Speech Signal Processing, Mathematics, Physics, or related fields. PhD graduates are preferred (exceptions can be made for candidates with outstanding abilities). · Technical proficiency in deep learning frameworks such as PyTorch/TensorFlow, as well as strong programming skills in Python/C++/Java/Go. Experience in agent architecture, large model fine-tuning, reinforcement learning, distributed training, etc., is a plus. · Strong passion for AI technology, with excellent logical thinking, problem breakdown, and communication skills. Publications in conferences such as ACL, EMNLP, NAACL, COLING, AAAI are preferred.投递