Meta·Machine Learning Engineer·Technical Phone Screen
- Given two sparse vectors, compute their dot product efficiently.
“My first instinct was to just loop through both arrays, which works but completely misses the point of the word 'sparse'.”
FAANG / Big Tech
Most of these Meta write-ups come from Software Engineers (1,194), then Data Scientists (489) and Product Managers (453). The most reported rounds are the technical phone screen (1,190), the product sense round (466), the system design round (255) and the behavioral / leadership round (205).
2377 interview notes · updated Jul 2026
“My first instinct was to just loop through both arrays, which works but completely misses the point of the word 'sparse'.”
“The join chain was fine, impression to conversion is a left join and you group by ad_id, standard stuff.”
“This is where I stumbled first.”
“This felt manageable at first and then immediately got slippery.”
“I went straight to growth metrics and kind of ignored the trust and safety angle, which I think was a mistake in hindsight.”
“This part tripped me up more than I expected.”
“I jumped straight into diagnosis mode, which felt right, but I think I spent too long on the metric itself before clarifying what 'down' even meant.”
“The greedy insight took me a minute.”
“This is where I spent the most mental energy.”
“The part that tripped me up was defining 'consecutive' cleanly.”