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My career advice as a Google researcher working in AI for 20 years

Nov 17, 2024 - businessinsider.com
AI specialist at Google, Yann AïtBachir, shares his advice for those looking to build a career in AI. He emphasizes the importance of having a strong foundation in technical skills such as math, statistics, and computer science, as these are the core concepts on which all AI algorithms are built. AïtBachir also stresses the need for collaboration skills, as no career can be built in isolation.

AïtBachir advises against immediately jumping into Big Tech companies at the start of one's career. Instead, he suggests starting in smaller companies where there is more opportunity to grow, discover personal interests, and be exposed to a wider scope of work. Once an individual has identified their area of interest, they can then move to a Big Tech company to specialize and delve deeper into that area.

Key takeaways:

  • Careers in AI are in high demand, but the market is competitive. Building a strong foundation in technical skills such as math, statistics, and computer science is crucial.
  • AI specialist Yann AïtBachir recommends starting in smaller companies before specializing in Big Tech, as it provides a wider scope of work and opportunities for growth.
  • Specializing in one area of AI is important due to its wide scope, which includes generative AI, predictive AI, and natural language.
  • Technical skills alone are not enough for a successful career in AI. Collaboration and the ability to work with others are also essential.
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