算法“内卷”，我该如何保持竞争力？

{"type":"doc","content":[{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null},"content":[{"type":"text","text":"人工智能无算法不App。人工智能算法造就了一批互联网公司的崛起，同时因其高于同行平均水平的薪资也吸引着越来越多的人成为算法工程师。"}]},{"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，如何在内卷严重的行业保持竞争力等都是算法工程师，甚至任何一位程序员要面临的问题。为此，InfoQ与得物App算法负责人祁斌川做了简单交流。作为从业6年多的“算法OG”，祁斌川分享了自己工作中的经验，并给出了一些实用建议。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}},{"type":"heading","attrs":{"align":null,"level":2},"content":[{"type":"text","text":"业务导向"}]},{"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":"算法系统的运作主要有三件事情：数据收集、机器决策和决策可量化优化。算法工程师的工作就是围绕这些来的：首先，要有一个数据系统获取数据；然后，通过机器学习等技术做机器决策；最后，通过报表系统量化决策并持续优化。"}]},{"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":"公司是盈利为目的的组织，投入产出比是最重要的。企业最看重的就两件事：成本和收益，即搭建一个系统要投入多少成本和时间，然后可以获得多少回报。所以，企业内的算法工程师和科研院所的研发创新导向不同，工作更需要追求投入产出比。"}]},{"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":"在祁斌川看来，能产生较高ROI算法系统建设的核心是业务导向，尤其在项目初期更是强业务导向。"}]},{"type":"paragraph","attrs":{"indent":0,"number":0,"align":null,"origin":null}}]}