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IPSY Machine Learning Engineer Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 5 interview experiences · FREE TO READ

2.4 Rounds average
Average Typical difficulty
60% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at IPSY.

Showing 3 of 5
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Machine Learning Engineer

Engineering · more than a year ago

Entry Easy Neutral experience No offer 1 round
Interview process
Take home Technical screen
Interview formats
Coding Technical

Applied 10 days ago and got an invite to do a coding challenge on HackerRank. Heard back pretty fast after finishing it. The challenge itself was pretty easy, especially if you've gone through Google's machine learning crash course.

Confirmed questions5 questions
  • Can you explain L1 and L2 regularization?
  • What's the difference between precision and recall?
  • Tell me about feature scaling.
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IPSY

Machine Learning Engineer

Engineering

Mid Average Negative experience No offer 2 rounds
Interview process
Technical screen Technical screen
Interview formats
Coding Technical

The first round was a coding round focusing on regularization, performance measures, and easy coding problems. The second round was a bit of a curveball; the interviewer asked about my interest in creating ML models versus testing/deploying them. After I expressed interest in model creation, they suggested I might be better suited for a Data Science role. I clarified that I'm also interested in testing/deploying, and they then gave me a coding challenge involving defining functions for Mean, Median, and Mode.

Confirmed questions1 question
  • Write code to compute the Mean, Median, and Mode for a list of numbers in Python.
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IPSY

Machine Learning Engineer

Engineering

Entry Average Positive experience No offer 2 rounds
Interview process
Take home Recruiter call
Interview formats
Coding Technical

I applied online and then I got a hacker rank coding challenge. After I finished the challenge, I got an email saying I was rejected because my skillset wasn't an exact match. I think this happened because I didn't get 100% correct on the challenge; I remember I couldn't pass all the test cases on the last question.

Confirmed questions2 questions
  • General machine learning questions were asked.
  • Questions included LeetCode coding puzzles.

IPSY Machine Learning Engineer Interview Questions

Quoted word for word from IPSY interview reports.

Write code to compute the Mean, Median, and Mode for a list of numbers in Python.

Read reports

How would you approach questions related to Data Structures and Algorithms, including topics like Linked Lists, Matrix manipulation, and dynamic programming?

Read report

Can you discuss your understanding of Machine Learning concepts, such as supervised and unsupervised algorithms, and how you would compare different models?

Read report

Formats, difficulty and experience

Across all 5 IPSY interview reports.

Interview formats

Technical 45.5%
Coding 45.5%
Behavioral 9.1%

Interview difficulty

Easy 20%
Average 80%
Difficult 0%

Candidate experience

Positive 60%
Negative 20%
Neutral 20%