算法“內卷”，我該如何保持競爭力？

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"人工智能無算法不App。人工智能算法造就了一批互聯網公司的崛起，同時因其高於同行平均水平的薪資也吸引着越來越多的人成爲算法工程師。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"如何高效率完成工作，如何在內卷嚴重的行業保持競爭力等都是算法工程師，甚至任何一位程序員要面臨的問題。爲此，InfoQ與得物App算法負責人祁斌川做了簡單交流。作爲從業6年多的“算法OG”，祁斌川分享了自己工作中的經驗，並給出了一些實用建議。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"業務導向"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"算法系統的運作主要有三件事情：數據收集、機器決策和決策可量化優化。算法工程師的工作就是圍繞這些來的：首先，要有一個數據系統獲取數據；然後，通過機器學習等技術做機器決策；最後，通過報表系統量化決策並持續優化。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"公司是盈利爲目的的組織，投入產出比是最重要的。企業最看重的就兩件事：成本和收益，即搭建一個系統要投入多少成本和時間，然後可以獲得多少回報。所以，企業內的算法工程師和科研院所的研發創新導向不同，工作更需要追求投入產出比。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"在祁斌川看來，能產生較高ROI算法系統建設的核心是業務導向，尤其在項目初期更是強業務導向。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}