This closing segment reinforces the importance of authenticity and adaptability during the interview process, especially in ML interviews where surprises are common.
Be ready for the unexpected—interview questions may push you outside your comfort zone, but your response and thought process matter more than perfection.
Think out loud—articulate your assumptions, logic, and uncertainties to help interviewers understand how you approach problems.
Show your passion—talk about what genuinely excites you in ML, whether it's recommender systems, data scale, or experimentation.
Connect your interests to the company’s mission or team goals—this helps show alignment and genuine motivation.
Remember, interviewers are hiring a person, not just a resume—let your curiosity and drive come through.