it is a misconception that a PhD is always required for hig

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.

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• 可能也有對“博士”的誤解？AI博士期間不是隻理論和死讀書。而且你工作有沒有機會 -Numero- ♀ (187 bytes) () 10/22/2025 postreply 05:49:23

• 難道還會兼職種玉米或大豆？ -我是誰的誰- ♂ (0 bytes) () 10/22/2025 postreply 05:51:49

• 肯定不是做算法了。大部分所謂的AI業界工作是做數據的，確實不需要博士。 -ginger2003- ♂ (0 bytes) () 10/22/2025 postreply 05:53:40

• 對啊，就是researcher 和engineer 的區別。前者需求精多要PhD市麵人數少， 後者需求大本科生足以勝任。 -trivial- ♀ (0 bytes) () 10/22/2025 postreply 06:06:42