Instacart·Software Engineer·Technical Phone Screen
- Implement a method that returns the top N employees who have accumulated the most total time in the office.
“Went straight to a max-heap and sorted by total duration per worker.”
Large Enterprises
Most of these Instacart write-ups come from Software Engineers (88), then Data Scientists (28) and Machine Learning Engineers (5). The most reported rounds are the technical phone screen (93), the system design round (13), the behavioral / leadership round (6) and the product sense round (6).
128 interview notes · updated Jul 2026
“Went straight to a max-heap and sorted by total duration per worker.”
“I had a decent story ready but I spent too long on the diagnosis part and barely got to what actually changed because of it.”
“I started with a plain hash map keyed by account ID and that part was fine.”
“The SQL pivot part was fine, conditional aggregation with CASE WHEN is pretty standard.”
“The CRUD part was fine, just a dict keyed by task_id and you're mostly done.”
“This is basically a full case study crammed into one question and I underestimated how much they wanted on the validation piece specifically.”
“Sorted by arrival time first, then simulated a current-time pointer to track when the chef finishes each order.”
“This one took me a minute to even parse.”
“This one tripped me up because the instinct is to get excited about higher order volume and rationalize the rest.”
“The core logic isn't hard but I almost tripped on the empty query case.”