Company
Mercor interview questions
44 practice questions in the style of Mercor's interviews, covering Behavioral & Leadership, ML System Design, Software Engineering Fundamentals, Coding & Algorithms, System Design, Machine Learning, Statistics & Math.
3 easy38 medium3 hard
Mercor interview questions by the numbers
Last updated
Katkat has 44 Mercor interview questions. The largest topics are Software Engineering Fundamentals (43%), System Design (20%) and Coding & Algorithms (9%). By difficulty: 7% easy, 86% medium and 7% hard. The most common round is Technical Screen (77%). Frequent concepts include distributed-systems, system-design, code-review and combinatorics.
Topics
- System Design20% · 9
- Coding & Algorithms9% · 4
- ML System Design9% · 4
- Statistics & Math9% · 4
- Behavioral & Leadership5% · 2
- Machine Learning5% · 2
Difficulty
- Easy7% · 3
- Medium86% · 38
- Hard7% · 3
Interview rounds
- Technical Screen77% · 34
- Onsite23% · 10
Roles
- Software Engineer73% · 32
- Machine Learning Engineer27% · 12
Frequent concepts
- distributed-systems9% · 4
- system-design7% · 3
- code-review5% · 2
- combinatorics5% · 2
- idempotency5% · 2
- order-statistics5% · 2
Most mentioned in interview experiences
- 1.Design the Worst Correct Sorting Algorithm and Analyze Its Complexity3 reports
- 2.Sorting Complexity: Beating O(n^2), Quicksort's Worst Case, and a Slower Sort3 reports
- 3.The Worst Possible Sorting Algorithm and How to Enumerate Every Permutation3 reports
- 4.Code Review: Partial Failure in a Java Payment Method That Charges Then Records2 reports
- 5.Design a Deliberately Inefficient Sorting Algorithm and Analyze Its Complexity2 reports
- 6.Make a Charge-Then-Record Payment Endpoint Safe Against Timeouts, Retries and Crashes2 reports
- 7.Make a Dict-Based Memoization Cache Safe for Concurrent Threads2 reports
- 8.Probability That One Customer's Two Coffees Beat Another's Two2 reports
- 9.Review a Hand-Rolled Python CSV Serializer for Correctness and Performance Bugs2 reports
- 10.Stripe Payment Integration: Error Handling, Idempotent Retries and Payment Storage2 reports
Counted from 11 candidate interview experiences on Katkat. How we collect and count
Showing 31–44 of 44 results
Design and implement an in-memory referral network as a directed acyclic graph (DAG) supporting cycle-safe edge insertion, depth-bounded reachability queries, and expected reward computation under geometric decay.
MercorMachine Learning EngineerCoding & AlgorithmsOnsiteA payment endpoint calls an external provider to charge the customer and then writes a record to its own database. The question asks what can go wrong and how to redesign the flow, testing failure analysis for crashes and timeouts, safe retries, durable payment state, recovery through status checks, webhooks and reconciliation, and lock placement.
MercorSoftware EngineerSystem DesignTechnical ScreenA memoization cache built on a plain Python dictionary wraps an expensive function and is now called from many threads at once. The question asks what goes wrong and how to fix it, testing race-condition analysis, lock scope and its throughput cost, duplicate-work prevention, and exception handling for waiting callers.
MercorSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenA probability brainteaser: two drinks are ordered at each of two coffee shops and every drink receives a quality score, and you must find the probability that both drinks from the first shop outscore both drinks from the second. It tests symmetry arguments, counting rankings, and stating independence and tie assumptions.
MercorSoftware EngineerStatistics & MathTechnical ScreenA probability puzzle in which two customers each buy two cups of coffee of random quality, and you find the chance that one customer's cups are better than the other's. It tests clarifying what better means, using symmetry over rankings, checking the result a second way, and reasoning about ties and correlated cups.
MercorSoftware EngineerStatistics & MathTechnical ScreenA startup background round: introduce yourself, walk through a recent project probed from a product angle (who owns each decision, what done means, success metrics), explain what the company does and why you want to join, and describe your side project. It also tests how you use AI tools for on-call automation, code review, and design discussions.
MercorSoftware EngineerBehavioral & LeadershipTechnical ScreenCalculate conditional comparison probabilities for coffee quality scores under continuous and discrete distributions, accounting for ties and sample permutations.
MercorSoftware EngineerStatistics & MathTechnical ScreenAssess and debug a compact decoder-only Transformer implementation. Candidates trace tensor dimensions through causal multi-head self-attention, identify flaws in next-token loss alignment and KV-cached generation, and establish equivalence between cached and uncached forward passes.
MercorMachine Learning EngineerMachine LearningOnsiteA code review question on a short Python function that turns a table of rows into CSV text. Candidates must find its correctness and performance problems and write a fixed version, which tests delimiter handling, string building in Python, non-string cells, CSV quoting and escaping rules, and how to verify the fix.
MercorSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenTests understanding of asynchronous race conditions, memory leaks, and eviction in single-threaded event loops versus multithreaded synchronization in languages like C++.
MercorSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenThis question tests your ability to apply Breadth-First Search (BFS) on an augmented state space where path state includes both coordinates and remaining resources.
MercorSoftware EngineerCoding & AlgorithmsTechnical ScreenA verbal sorting-theory discussion: explain how to sort faster than quadratic insertion sort, identify quicksort's worst case, count the non-empty subsequences and the permutations of an n-element array, and design a correct sort that is deliberately slower than O(n^2). It tests asymptotic analysis, recurrence reasoning, and basic combinatorics.
MercorSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenExplain how to add a Stripe payment integration to a backend service: how to handle errors and retries without charging a customer twice, what payment data to store, and which database to use given ACID and availability needs. Tests idempotency, failure handling, and data modeling for payments.
MercorSoftware EngineerSoftware Engineering FundamentalsTechnical ScreenA verbal algorithms question: name the worst sorting algorithm that still always sorts correctly, analyze its running time, and explain how you would compute every permutation of the input exactly once. It tests reasoning about factorial complexity and knowledge of permutation enumeration methods.
MercorSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
Mercor interview experiences
All 22 →- No-Coding Technical Screen with Code-Reading Questions, Did Not PassMercor · Software Engineer · Technical Screen · Oct 2026Rejected
I applied online. There is no recruiter screen - first call is a HM screen where they ask you basic questions. Next screen is a 30 minute technical screen with no coding. Mine had 4 questions - Tell me the worst sorting algorithm - (n!) and explain how you would calculate each permutation You visit two coffeeshops A and B and order 2 drinks from each. Each drink gets a quality score. What is the…
- Technical Screen with Bloom Filter and Payment Idempotency DebuggingMercor · Software Engineer · Technical Screen · Oct 2026
Almost all of these were questions I had already seen in interview experience posts! Worst sorting algorithm: I talked about enumerating every permutation and checking whether each one is sorted. Coffee shop: A and B each buy two cups of coffee. What is the probability that A's two cups taste better than B's two cups? There are 1M user_ids. How do you efficiently check whether an id exists, and a…
- 30-Minute Rapid-Fire Technical Screen, Rejected After Three QuestionsMercor · Software Engineer · Technical Screen · Sep 2026Rejected
The first round at Mercor was a 30-minute live technical interview. It was rapid-fire Q&A, where you try to answer as many questions as possible. I only got through 3 questions, so I didn't pass. The first question was to explain in detail a sorting algorithm faster than O(n^2). I gave merge sort. The second question was to give one slower than O(n^2). For brute force you can shuffle and then com…
- A Rushed 30-Minute Screen on Sorting, Probability, and a Cache Race ConditionMercor · Software Engineer · Technical Screen · Sep 2026
The interviewer was a principal from Caltech. He talked fast and used a lot of technical jargon, like a college professor would. It was rushed, only 30 minutes. Explain a sorting algorithm better than O(N^2). Merge sort — recursively split the array into left and right halves until there are only 2 elements left, then merge by inserting the smaller of the two into a new array and returning it (N…
- Applied AI Tech Screen with an Async Refund Debugging Question and Rapid-Fire LLM QuestionsMercor · Software Engineer · Technical Screen · Sep 2026
Today I had a tech screen for Mercor's Applied AI role. The debugging question: The other rapid-fire questions: What is idempotency, and why do we need idempotent operations? What is RAG, and how is it related to fine-tuning? How would you handle context limit exceeded in an LLM application? LLM calls are usually stateless. How would you make an LLM application stateful? How would you handle prom…
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