Quantiphi Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 102 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Quantiphi.
Quantiphi
Machine Learning Engineer Intern
Intern Easy Positive experience Accept offer 3 rounds
Interview process
Take home Technical screen Technical screen
Interview formats
Technical Coding Behavioral
So, first there was like a written exam, then I had two interview rounds. The exam had multiple choice questions on aptitude and logic, and some basic coding to see if I knew how to code. The interviews were mainly about how I solve problems and if I understood the main concepts, with some simple coding and questions about different situations. It was more about seeing if I could think and code a bit, not super advanced stuff.
Confirmed questions1 question
- Did you have any Python, SQL, or ML questions?
Quantiphi
Machine Learning Engineer
Mid Easy Positive experience Accept offer 2 rounds
Interview process
Take home Technical screen Technical screen Technical screen
Interview formats
Technical Coding Case Technical
The interview process was like this: First, there was an Online Test which had 8 sections with time limits for each. The sections covered Aptitude, Logical, Verbal, HTML, JS, CSS, DBMS, OOPs, Pandas, and there was 1 Coding question. Then, I had Technical Interview 1, which lasted 30 mins. It started with 'Introduce yourself.' He asked me about ML and its types. We went over the project on my resume, its uses, functions, and how it's used in the real world. Then he gave me a coding question to print all prime numbers from 2 to N and their sum, which was easy. He was looking for an optimized solution. He also asked about my Python skills. After that, there was a case study on Gujarat's sugar consumption using data from other states. Finally, I asked him questions about his journey at the company. Technical interview 2 also lasted 30 mins and began with 'Introduce yourself.' He asked about my ML proficiency and statistics in ML. Then came 2 case study questions: one about selecting a cricket player and another about increasing restaurant revenue. He then asked me to find defective barcodes and write Python code for it. I ended by asking him about his experience at the company.
Confirmed questions1 question
- He asked me case study based questions on Stats.
Quantiphi
Machine Learning Engineer
Entry Average Neutral experience No offer 4 rounds
Interview process
Technical screen Technical screen Technical screen Recruiter call
Interview formats
Coding Technical Behavioral
Quantiphi is an ML/AI product company. Your score in the first round determines the role you are eligible for. All rounds are eliminatory. The interview process has 4 rounds. 1. Online Assessment: This is a preliminary round which determines if you qualify for FE, ML or BA roles. It had 80 MCQs and 2 coding questions in 90 mins. 2. Technical Interview: A one-on-one with an interviewer. Started with introductions, then questions on core concepts like OOPs, Dynamic Programming, and a cross-questioning on your experienced technologies. 3. Project Round: Another one-on-one. The interviewer asked about AI/ML projects from my resume, my thought process and roles. Then, questions tested skills on mentioned technologies. 4. HR Round: The HR asked about me, how my interviews went, and my motivation for joining Quantiphi as an ML engineer.
Confirmed questions8 questions
- Find the last 3 students from a student table using SQL.
- Tell me about your understanding of core concepts like OOPs and Dynamic Programming.
- Can you elaborate on the technologies you have mentioned in your resume?
Quantiphi Machine Learning Engineer Interview Questions
Quoted word for word from Quantiphi interview reports.
“How would you write Python code to check if a number is a power of 2?”
Read reports →“What is the longest common subsequence of two strings composed solely of vowels?”
Read reports →“What is learning rate and how is it used in Neural Networks?”
Read reports →“What is the likelihood that the center of a circle falls within a triangle formed by any three points on that circle?”
Read reports →“Could you write some Python code to convert a list into a dictionary?”
Read report →“Can you explain the final size of an image after it goes through a 3x3 filter without padding in a CNN?”
Read report →“Could you explain the conv1D operation in the context of an image?”
Read report →“What is the angle between the hour and minute hands at 3:15?”
Read report →“What is one-hot encoding? Given a 'country' column with 5 distinct values, how many new columns would result from applying OHC?”
Read report →Formats, difficulty and experience
Across all 102 Quantiphi interview reports.