头部互联网具身实验室招募：多模态大模型、机器人多模态交互、强化学习等算法岗位

Core Viewpoint - The company is recruiting for various positions related to embodied intelligence, focusing on multimodal large models, robotic multimodal interaction, and reinforcement learning, indicating a strong emphasis on innovation and application in the robotics field [1][3][5]. Group 1: Job Descriptions - Embodied Multimodal Large Model Researcher: Responsible for developing core algorithms for embodied intelligence, including multimodal perception, reinforcement learning optimization, and world model construction [1]. - Robotic Multimodal Interaction Algorithm Researcher: Focuses on researching multimodal agents, reasoning planning, and audio-visual dialogue models to innovate and apply robotic interaction technologies [3]. - Reinforcement Learning Researcher: Engages in exploring multimodal large models and their applications in embodied intelligence, contributing to the development of next-generation intelligent robots [5]. Group 2: Job Requirements - Embodied Multimodal Large Model Researcher: Requires a PhD or equivalent experience in relevant fields, with strong familiarity in robotics, reinforcement learning, and multimodal fusion [2]. - Robotic Multimodal Interaction Algorithm Researcher: Candidates should have a master's degree or higher, excellent coding skills, and a solid foundation in algorithms and data structures [4]. - Reinforcement Learning Researcher: Candidates should have a background in computer science or related fields, with a strong foundation in machine learning and reinforcement learning [6]. Group 3: Additional Qualifications - Candidates with strong hands-on coding abilities and awards in competitive programming (e.g., ACM, ICPC) are preferred [9]. - A keen interest in robotics and participation in robotics competitions are considered advantageous [9].