Quantiphi Interview Experience for Machine learning engineer 2024 (On-Campus)
Question Details
Recruitment ProcessRound 1 -
MCQ + codingRound 2 - CodingTechnical round 1Technical round 2Technical round 3HR roundRound 1It consisted of 78 MCQ based on OS, CN, DBMS, JS...
Full Details
Recruitment Process Round 1 ->
MCQ +
coding Round 2 -> Coding Technical round 1 Technical round 2 Technical round 3 HR round Round 1 It consisted of 78 MCQ based on OS, CN, DBMS, JS, HTML, Probability, Code Completion, and Output prediction on java, python, c++ based on code snippets. And 2 coding questions were based on DSA. Do practice Leetcode DP questions. Round 2 It consisted of 3 coding questions and the level of all the questions ranged from easy to difficult.
Technical round 1 This round started with my introduction, and then the interviewer asked me about the resume projects and my major project. After this he asked me about constructors and then he told me to write a code using your preferred coding language where I need to use constructor. So I used python to do the task.
Technical round 2 In this round, the interviewer gave me 2 coding questions and asked me the approach for solving them and then after explaining the approach he asked me to write the code for the same. One of the question was a 2 SUM problem from leetcode.
Technical round 3 In this round, the interviewer gave me 4 python based coding snippets and asked me to give the output for each. Code snippets were based on array slicing and global local variables. This round actually took 20 minutes.
HR round In this round the HR asked me about myself , how was my interviews and why I want to join Quanitphi as a ML engineer. After 2 weeks the result came where out of 1582 students from my campus only 13 were selected. And i was one of them :) .
About This Question
This is a reported interview question from a quantiphi interview for a mle role during the recruiter round reported in 2024.
It covers the following topics: Arrays, Dynamic Programming, Sql, Ml, Probability Stats .
Difficulty rating: Easy
More Quantiphi Interview Questions
About Quantiphi Interview Reports
This question was reported by a candidate who interviewed at Quantiphi. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.
Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Quantiphi are the higher-signal extractions to take from this report.
For broader preparation context, the Quantiphi interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.
How To Practice This Type of Question
Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.
Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Quantiphi reports consistently are the ones worth investing in; one-off niche problems are not.
During Your Quantiphi Round
Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.
The single most predictive failure mode in Quantiphi reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.