Apple·Machine Learning Engineer·Technical Phone Screen
- Walk me through how video compression algorithms work, and how you've applied them in your projects.
“They tied this directly to my project background so I knew it was coming in some form.”
FAANG / Big Tech
Most of these Apple write-ups come from Software Engineers (212), then Machine Learning Engineers (85) and Data Scientists (32). The most reported rounds are the technical phone screen (217), the system design round (48), the product sense round (29) and the behavioral / leadership round (22).
372 interview notes · updated Oct 2026
“They tied this directly to my project background so I knew it was coming in some form.”
“I'd seen this before so the cycle detection angle clicked fast.”
“The large timestamp constraint is the whole point of the problem.”
“This one took me a minute to even process.”
“The blocking condition is what tripped me up first.”
“I had a story ready but it felt a bit thin in the moment.”
“Knew this one cold from practice but still fumbled the explanation a bit.”
“This took me a second to orient to because I kept wanting to jump straight into equations.”
“Started fine, got the basic setTimeout and clearTimeout skeleton down pretty quick.”
“I jumped straight into the implementation and got the basic wiring done fine: embed the corpus, embed the query, run pairwise similarity, return the top match.”