How I Cracked the Meta Machine Learning Engineering Interview
<p>I recently landed an offer with Meta as Machine Learning Engineer (MLE), gaining a 20% raise in my total compensation relative to my previous job as well as a promotion to a senior role. In this post I’ll outline the interview structure, how I prepared, and practical tips on how to nail the MLE interview. Even though my experience was with Meta, I believe this guide to be useful for MLE interviews with other tech companies as well. Good luck!</p>
<h2>Interview structure</h2>
<p>I actually did not apply myself, instead a recruiter reached out via LinkedIn. This is a good reminder to keep your LinkedIn profile polished and up-to-date. I did one phone screen and one virtual on-site:</p>
<ul>
<li>The phone screen lasted for one hour and included two coding questions.</li>
<li>The virtual onsite was spread over 2 days. Day 1 included one coding interview, one behavior interview, and two design rounds: system design and ML system design. Day 2 included originally one coding round and one behavior round, but the latter was canceled in the last minute, so I ended up just doing a single coding round on Day 2.</li>
</ul>
<p><a href="https://towardsdatascience.com/how-i-cracked-the-meta-machine-learning-engineering-interview-aa32f64b8e4b">Click Here</a> </p>