If data structures and algorithms aren't actually used on the job, why do Big Tech companies use these problems as a cornerstone of their interview process? This lesson teaches you:
- Why Big Tech isn't just being evil and stupid when they use data structures and algorithms problems on their interviews
- How data structures and algorithms problems can have a surprising amount of depth
- What most engineers don't understand when it comes to how FAANG rejects candidates
- How Google and Meta in particular differ from almost all other companies when it comes to hiring, which affects how their interview processes work
If you're interested in working at early-stage startups that don't ask LeetCode problems: "How to find and connect with scrappy startups?"