I'm in my first job out of school, and looking for a new ML job. I gathered a lot of offers that interest me.
The thing is, I've never gotten much interview experience. I got that job through a very weak selection process with basically no testing, the real test was an internship and then a trial period. I don't know what interviewers expect (I'm looking for machine learning jobs), or how to practice it. The first interviews I take, I'll probably bomb.
Is the best way just to start with positions I'm not that interested in and bomb them for practice, buy a book or two about ML interviews and go through exercises, or do more side projects?
I'd like to have an offer that I can accept in the next few months. I can take time off to practice if needed.
Aside from just technical skills, these mock interviews can help you articulate your thought process clearly, which is often as important as the solutions themselves in ML roles. Remember, it’s not just about getting the right answer, but also showing how you approach problems.
A side note based on a pattern I've observed so far: candidates who practice like this tend to perform better not just in technical assessments but also in explaining their past projects and teamwork experiences, which are equally critical parts of the interview process.
Hope this helps. Dive in, get that feedback, and refine your approach. Good luck!