As tech products become more prevalent today, the demand for Machine Learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews. For software engineer, data analyst, or other techdata professional who is transitioning into a role that focuses on ML day to day; for readers who have a basic knowledge of Python programming and ML theory and are curious to explore if entering the ML field could be a future career choice.