Explore Chip Huyen's insights on machine learning interviews in this 44-minute talk from Full Stack Deep Learning's November 2019 conference. Gain valuable perspectives on various ML roles, including applied research, ML engineering, and data science positions. Discover the six common career paths in the field and learn whether a PhD is necessary for certain positions. Examine the challenges companies face in hiring ML professionals and understand why many struggle to find the right candidates. Analyze the interview process, including examples of good and bad interview questions, alternative interview formats, and the importance of referrals. Learn how candidate experience affects offer acceptance rates and gather general tips to improve your chances of success in ML interviews.