The article provides insights from Laurence Moroney, a lead AI researcher at Google, on how to prepare for careers in artificial intelligence (AI) and machine learning (ML) in the coming years. Moroney emphasizes the importance of developing a strong foundation in mathematics, particularly linear algebra, calculus, and statistics. He recommends taking online courses or attending bootcamps to gain practical experience in coding and working with data. Moroney also suggests exploring open-source tools and libraries like TensorFlow and PyTorch to build a portfolio of AI/ML projects. Additionally, he advises staying up-to-date with the latest developments in the field by reading research papers, attending conferences, and participating in online communities. Moroney believes that soft skills like communication, collaboration, and problem-solving will be crucial for success in AI/ML roles. Overall, the article provides valuable guidance for individuals interested in pursuing careers in the rapidly evolving field of artificial intelligence.
Source: https://www.businessinsider.com/career-advice-google-ai-researcher-early-job-2024-11