小米社招&校招 | 自动驾驶与具身智能算法研究员 (VLA/具身方向)

Core Insights - The article discusses a job opening for a researcher/scientist in the field of autonomous driving and robotics, focusing on the development of an Embodied Foundation Model that integrates visual-language-action capabilities with advanced spatial perception and reasoning [2][3]. Group 1: Job Responsibilities - The core responsibilities include leading the research and construction of cutting-edge multimodal large models, exploring the understanding of complex 3D worlds, and planning long-term, multi-step tasks through a World Model [3][4]. - Key capabilities to be developed include multimodal scene understanding, complex semantic reasoning and decision-making, and learning and adaptation mechanisms through reinforcement learning, imitation learning, and self-supervised learning [4]. - The role also involves establishing a technical vision and roadmap for a generalized, efficient embodied intelligence model, supporting technological evolution over the next 1-3 years, and exploring its applications in autonomous driving and general robotics [4]. Group 2: Job Requirements - Candidates are expected to have a PhD or equivalent research experience in computer science, artificial intelligence, robotics, autonomous driving, or related fields [5]. - In-depth research and practical experience in one or more areas such as multimodal large models, embodied AI, reinforcement learning, and 3D vision and spatial intelligence are required [6][7]. - The ideal candidate should have a strong academic background, including publications in top conferences and a cross-disciplinary perspective that integrates knowledge from various fields to solve complex real-world problems [8]. Group 3: Additional Qualifications - Experience with World Model theory and large-scale pre-training of models with billions of parameters, as well as deployment and validation of algorithms on real or high-fidelity robotic platforms, is considered advantageous [11]. - Contributions to open-source projects and active participation in relevant communities are also valued [11]. Group 4: Application Details - The position is primarily based in Beijing, with some opportunities in Shanghai, and interested candidates can submit their resumes to a specified email address [10].