While many top AI companies value PhD degrees for high-level research roles, it is a misconception that a PhD is always required for high-level jobs in AI. Increasingly, companies prioritize practical skills, real-world experience, and the ability to deliver results over formal academic credentials. For example, roles such as AI prompt engineers, AI trainers, and AI support technicians often do not require a PhD and focus more on demonstrated skills and hands-on AI application. Big tech companies like Amazon, Tesla, and Microsoft, as well as AI-focused startups, are hiring candidates without PhDs for roles that matter, as they emphasize competency and potential over pedigree. This shift is driven by the rapid growth of AI applications across industries, with companies needing talent at all levels and valuing portfolios with real AI project experience more than academic degrees. However, certain cutting-edge AI research positions and leadership roles still tend to prefer or require a PhD. Thus, while a PhD is a strong asset, it is not universally mandatory for high-level AI jobs in all top companies today.
it is a misconception that a PhD is always required for hig
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可能也有对“博士”的误解?AI博士期间不是只理论和死读书。而且你工作有没有机会
-Numero-
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10/22/2025 postreply
05:49:23
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难道还会兼职种玉米或大豆?
-我是谁的谁-
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10/22/2025 postreply
05:51:49
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肯定不是做算法了。大部分所谓的AI业界工作是做数据的,确实不需要博士。
-ginger2003-
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10/22/2025 postreply
05:53:40
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对啊,就是researcher 和engineer 的区别。前者需求精多要PhD市面人数少, 后者需求大本科生足以胜任。
-trivial-
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10/22/2025 postreply
06:06:42