理想汽车AI Research Scientist
任职要求
Education/Experience · Master’s or PhD degree in Artificial Intelligence, Robotics, Computer Science, Cognitive Science, or related disciplines. · Minimum 5 years of experience in autonomous driving, embodied AI, strategy research, or related technical domains. · Proven experience in technology foresight, strategy consulting, or academic research related to Physical AI is highly preferred. Knowledge · Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration. · Understanding of multimodal foundation models (e.g., GPT-4V, Gemini, MM-ReAct), NeRF/3D scene generation, and decision-making frameworks. · Awareness of global industry and academic trends in intelligent mobility and robotics. Skills and Competencies · Strong analytical, synthesis, and strategic thinking capabilities. · Excellent writing and communication skills in English; bilingual in Chinese is a plus. · Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains. · Self-motivated, intellectually curious, and oriented toward high-impact results.
工作职责
· Lead strategic analysis on global trends in Physical AI, including autonomous driving, embodied intelligence, robotics, and sensorimotor foundation models. · Continuously monitor and benchmark key players (e.g., Tesla FSD, Waymo Robotaxi) and emerging technologies in North America and globally. · Conduct exploratory research on cutting-edge technologies related to world models, multimodal large models, and planning frameworks in AI. · Produce high-quality technical and strategic insight reports for internal stakeholders to inform roadmap and business decisions. · Collaborate with R&D and product teams to shape future research directions and support decision-making with clear, data-driven foresight. · Participate in academic engagements, including paper drafting and submission to top-tier AI conferences (e.g., NeurIPS, CVPR, ICRA, RSS).
1、面向通用人形机器人,打造行业领先的具身大模型,实现全身动作控制、场景及任务可泛化的、可scaling的VLA大模型研究,形成持续的技术影响力并引领国际行业发展。
Lead the design and development of advanced models and algorithms for web search and browsing, collaborate with cross-functional teams, and drive innovation in AI-powered information retrieval.
• Lead the development and evaluation of state-of-the-art models for code completion and editing, pushing the boundaries of code understanding, generation, fix and review. • Develop retrieval-augmented systems that improve a model’s awareness of large and complex codebases, enabling context-rich code assistance. • Design and prototype efficient inference algorithms to enable fast, interactive code generation experiences at scale. • Collaborate across disciplines with product teams across Microsoft and Github • Stay up to date with the research literature and product advances in AI for software engineering