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IMC interview notes, page 1 of 3

Large Enterprises

Most of these IMC write-ups come from Software Engineers (20), then Machine Learning Engineers (5) and Data Scientists (1). The most reported rounds are the technical phone screen (18), the online assessment (2), the system design round (2) and the recruiter screen (2).

26 interview notes · updated Jul 2026

IMC·Software Engineer·Onsite - System Design / Architecture

Apr 2026
IMC system design round for a software engineering role, one big question that kept branching into follow-ups. The core ask was straightforward but the discussion went pretty deep into concurrency and data structure trade-offs, which I wasn't fully prepared for.
  • Design an in-memory hotel booking system (no database) that supports room search by date range, filtering by hotel/room type/price, booking, cancellation, modification, and listing a customer's bookings.
  • Two clients try to book the same room at the same time. How do you handle that without a database?
  • Persistence is out of scope, but if you had to snapshot and restore the in-memory state on restart, how would you approach it?

“I started with a basic map of room IDs to booking lists and thought I was on solid ground.”

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IMC·Software Engineer·Recruiter / HR Screen

Apr 2026
Short conceptual question from a recruiter screen at IMC for a software engineer role. Nothing crazy, but it required more depth than I expected from an HR call.
  • When would you choose a dictionary (hash map) over an array, and when would you go the other way? Walk through the tradeoffs.

“Wasn't expecting something this meaty from a recruiter screen.”

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IMC·Software Engineer·Technical Phone Screen

Apr 2026
IMC quant engineer interview, one question that looked like a simple true/false but was actually testing whether you really understand exponential scaling. Felt a bit embarrassed by how long I sat on it.
  • True or false: a 64-bit integer can represent roughly two times more values than a 32-bit integer. Explain your reasoning.

“My first instinct was to say 'false, it's way more than 2x' which is correct, but then I fumbled the actual explanation.”

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IMC·Machine Learning Engineer·Technical Phone Screen

Apr 2026
IMC machine learning engineer interview that leaned pretty hard into probability fundamentals. Both questions came straight out of the Green Book, which I'd skimmed but not drilled nearly enough.
  • Gambler's Ruin: a player starts with $i dollars and bets $1 per round on a fair coin flip, stopping when they either hit $N or go broke. What's the probability of going bankrupt, as a function of i and N? Then extend the result to a biased coin where the win probability is p ≠ 0.5.
  • For a symmetric simple random walk starting at 0, derive: (a) the probability of ever returning to the origin, (b) the expected time of first return, and (c) explain why the walk is recurrent in 1D and 2D but transient in 3D and above.

“I knew the fair-coin answer off the top of my head (probability of ruin is (N-i)/N) but the biased extension tripped me up more than I expected.”

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IMC·Software Engineer·Technical Phone Screen

Apr 2026
IMC quant engineer interview with a systems-thinking twist. The question mixed a concrete technical comparison with an explain-it-simply follow-up, which I wasn't expecting in the same breath.
  • Describe a workload or scenario where LFU is a better cache eviction policy than LRU, then explain both policies using a simple analogy a young child could understand.

“The first part I felt okay about.”

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IMC·Software Engineer·Technical Phone Screen

Apr 2026
IMC quant engineer interview with a graph theory true/false question that sounds deceptively simple but has a real gotcha buried in it.
  • True or false: given N nodes, an acyclic undirected graph has at most N-1 edges. Explain your reasoning.

“My first instinct was to say true and move on because that's the tree property everyone knows.”

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IMC·Software Engineer·Technical Phone Screen

Apr 2026
IMC software engineer interview with a conceptual theory round covering data structures and systems thinking. Nothing crazy hands-on, just explain-your-reasoning type questions. Felt more like a CS fundamentals check than anything applied.
  • What is the worst-case time complexity for removing an element by value from a sorted array, and why?
  • What is the worst-case time complexity for checking if a key exists in a hash table?
  • What is the worst-case time complexity for removing the minimum element from a min-heap?
  • What is the worst-case time complexity for accessing the i-th element by index in a sorted array?
  • Is multithreading always faster than single-threading? Explain with a concrete example where multithreading is actually slower.

“O(n) and I knew that, but I fumbled explaining the two-part cost: finding the element is O(log n) with binary search, but shifting everything after it is O(n).”

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IMC·Software Engineer·Technical Phone Screen

Apr 2026
IMC software engineer interview with a data structures and complexity question. Pretty focused on fundamentals, the kind of thing you either know cold or you fumble through.
  • What is the worst-case time complexity for each of these four operations: removing an element from a sorted array, checking if a key exists in a hash table, removing the minimum element from a min-heap, and finding the i-th element in a sorted array?

“Four-parter in one question, which I wasn't expecting.”

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IMC·Software Engineer·Technical Phone Screen

Apr 2026
Got a coding question from IMC for a software engineer role, purely algorithmic, no behavioral stuff at least in this round. The problem was more involved than it looked at first glance and the efficiency constraint is where it gets tricky.
  • A pharma company ships liquid medicine and has multiple container sets to choose from. Given a list of order volumes and several sets of container capacities, you must pick exactly one set that can fulfill all orders with minimum total waste. For each order, you use the smallest container that fits (exact match = zero waste). If a set can't cover some order, it's invalid. Return the index of the best set, or -1 if none work. Ties go to the lower index.

“The naive approach is obvious, loop over every order for every set and do a linear scan for the right container.”

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IMC·Software Engineer·Technical Phone Screen

May 2026
IMC quant engineer interview, one probability question under a tight time constraint. Pretty clean setup but the execution under pressure is where it gets you.
  • U and V are independent uniform [0,1] random variables. Let M be the max and m be the min of the two. What is P(M^2 > m)? Set up the integral, reduce it, and give a closed-form answer. You have about 3 minutes.

“The symmetry angle is the key move here.”

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