What 50+ ML Interviews (as an Interviewer) Have Taught Me
<p>If you thought facing a technical interview is hard, try conducting an interview. I’m not talking about the awkward interviewers who left a scathing impression, watching you condescendingly, while you’re wishing for the pain to end. I’m talking about interviewers that have left a positive impression you cherish.</p>
<p>Doing an interview is a huge responsibility. You are the gatekeeper for someone’s career. So you must do everything in your capacity to do them as much justice as you can.</p>
<p>All of the points I’m going to be mentioning revolve around one key value:</p>
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<p>Empathy!</p>
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<p>If you’ve mastered empathy, you probably don’t even need to read this. Everything I talk about here are my personal thoughts and opinions and do not reflect the view of my employer.</p>
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<p>For context, I’m a machine learning engineer and these are technical or coding interviews I’m talking about.</p>
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<p>After reading this article, you’ll (hopefully) take away a few lessons that will make you a better interviewer, who leaves a positive lasting impression on the candidates (regardless of the outcome).</p>
<p>Let’s skip the obvious checks for a candidate and clear the air first:</p>
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<li>Showing sound technical knowledge of the language & tools</li>
<li>Thinking out loud while working through the problem</li>
<li>Being friendly and cooperative</li>
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<p>Any of these that don’t get a tick is a concern.</p>
<p><a href="https://towardsdatascience.com/what-50-ml-interviews-as-an-interviewer-have-taught-me-6a72f7344eb1"><strong>Website</strong></a></p>