SemiAnalysis@SemiAnalysis_ · X一名Jane Street的应届毕业生通过自主构建的智能AI系统，成功获得了年薪22万至60万美元的职位。该系统的核心在于运用JAX与Mesh-TF框架，能够高效处理海量数据，并识别人类无法察觉的隐秘模式，从而直接驱动实际交易决策。其成功关键并非单纯加班，而是通过技术创新实现了效率的质的飞跃。该毕业生已发布长达一小时的系统构建详解，内容涵盖从挖掘稀缺数据集到将原始数据转化为交易决策的全过程，并指出这比花费数月时间浏览社交媒体对职业发展的助益大得多。
🚨 A junior new grad at Jane Street just locked in & signed a $220K-$600K role. 🚨🚀🔥
Not because he worked harder. Because he built an agentic AI system that uses JAX & Mesh-TF to chews through trillions of data points while entire teams are still loading their spreadsheets.
He just dropped a 1-hour breakdown of the exact system：
🟠 how he mines massive datasets most people don't even know exist 🟠 how AI catches patterns the human brain physically can't 🟠 how raw data becomes real trades and real decisions 🟠 how you can build the same thing from scratch
Kill the TikTok/Reels/XHS scrolling tonight.