hireEZ 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
Candidate interview experiences
First-hand accounts from people who interviewed at hireEZ.
hireEZ
Machine Learning Engineer
Mid Difficult Negative experience No offer 1 round
Interview process
Recruiter call Phone screen
Interview formats
Technical Behavioral
I had a 40-minute call with a Senior ML Engineer at this startup, who was the only other person on the team there. I was expecting a quick chat about my projects and internship experience, but instead, I had to drone out textbook definitions of machine learning concepts. He didn't ask about my projects, introduce himself, or mention the company. He did ask about my past internship, but he seemed inattentive, as I had to repeat my responsibilities multiple times. There were no critical thinking questions, like 'what model would you use in this scenario?', just reciting terms and concepts. By the end, I knew I wouldn't want to work there even if offered. He hung up without saying much. Possibly the worst interview I've had.
Confirmed questions1 question
- Between a RNN with LSTM and an Attention-based model, which would perform faster?
hireEZ
Machine Learning Engineer
Entry Difficult Positive experience Accept offer 3 rounds
Interview process
Recruiter call Take home Presentation
Interview formats
Technical Coding Presentation
First, there was a phone call where the interviewer introduced the team. I talked about one of my projects and answered follow-up questions. They also asked a lot of standard machine learning questions. The second round was a take-home project related to their product, and I had a week to complete it. The third round involved presenting the take-home project to the group and then discussing it with them.
Confirmed questions2 questions
- Can you explain how to prevent overfitting?
- Basic machine learning concepts
hireEZ
Machine Learning Engineer
Mid Average Negative experience No offer 2 rounds
Interview process
Phone screen Take home
Interview formats
Technical Coding Other
The interview process started with a 30-minute phone screen where they asked about my past projects and then really grilled me on machine learning algorithms. After that, there was a take-home coding challenge. I got a problem statement and a dataset related to an NLP application for their business. I could use any language like Python or R.
Confirmed questions3 questions
- Can you discuss a past project you've worked on?
- Could you elaborate on the mathematics and underlying intuition of common machine learning algorithms?
- Address a business problem using NLP with the provided dataset.
hireEZ Machine Learning Engineer Interview Questions
Quoted word for word from hireEZ interview reports.
“Between a RNN with LSTM and an Attention-based model, which would perform faster?”
Read reports →“Could you elaborate on the mathematics and underlying intuition of common machine learning algorithms?”
Read reports →“Can you explain how to prevent overfitting?”
Read reports →“Can you explain how to address overfitting?”
Read reports →“Can you discuss a past project you've worked on?”
Read report →Formats, difficulty and experience
Across all 5 hireEZ interview reports.