随着大模型技术的爆发式发展，顶尖人工智能（AI）技术人才成为科技企业的核心争夺目标。 今年5月，京东推出了TGT顶尖青年技术天才项目，面向全球高校本硕博在校生、应届生及毕业两年内 的技术人才开放招募。 据京东雇主品牌及TGT项目负责人透露，TGT招募学生的领域包括多模态大模型与应用、机器学习、搜 索推荐广告、空间与具身智能、高性能与云计算、大数据、AI Infra、安全等8类方向，覆盖了80余个前 沿课题。人才布局呈现"金字塔"结构：顶尖领军人物引领方向，中腰部技术骨干通过TGT项目吸纳顶尖 硕博，形成"资深leader+高潜校招生"的协同研发模式。 除了TGT顶尖青年技术天才计划项目外，在高校毕业生就业上，京东还为2025届毕业生提供了1.8万个 核心岗位。 京东AI Infra相关负责人表示，京东AI基础设施建设以业务需求为导向，形成"业务定义模型-模型驱动 基建"的闭环。在硬件层面，京东积极拥抱国产化，通过与国产硬件厂商深度联合共建、引入高校产学 研合作，推动开源生态建设，目标成为国产AI生态的重要引领者。 中国科学院大学博士田野说："学生时代，研究场景是相对封闭的，可能很长一段时间都在针对某一类 问题 ...

Core Insights - JD's 618 shopping festival in 2025 saw over 100% year-on-year growth in the number of users placing orders, with total orders exceeding 2.2 billion [2] - AI-related products experienced significant sales growth, with AI laptops up 151%, AI tablets up 149%, and AI learning hardware up 120% [2] - The use of AI models increased by 130% compared to the previous year's Double Eleven event, with over 14,000 AI agents operating internally [2][3] AI Applications and Developments - JD has been utilizing AI technology since 2012, evolving from traditional methods to advanced NLP and deep learning techniques, achieving over 90% accuracy in AI applications [5] - The company aims to serve over 50,000 brand merchants with AI digital humans by the end of 2025, focusing on making AI technology more accessible [3] - JD's AI applications span retail, logistics, health, and industrial sectors, enhancing operational efficiency and reducing costs [6][7] Performance Metrics - During the 618 event, JD's AI-driven operations improved conversion rates in live streaming by 30%, with AI digital humans costing only one-tenth of human hosts [11] - The AI customer service system handled over 2.5 billion inquiries during the event, showcasing the scale of AI integration in customer interactions [11] - JD's logistics operations utilized AI models over 1.3 billion times, benefiting more than 500,000 frontline logistics employees [11] Future Directions - JD is exploring "embodied intelligence" technologies, integrating AI models with various hardware to enhance user interaction [12] - The company is focused on developing AGI through three main directions: large language models, multimodal capabilities, and embodied intelligence [12] - JD's industrial AI model, JoyIndustrial, aims for significant cost reductions in supply chain management, achieving a 99.3% reduction in technical costs [11]