
Reply Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 16 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Reply.
AI Software Engineer
First I had a phone call where they asked me general questions and about my background. After that, they invited me to an in-person assessment center. The assessment center had group presentations and then 3 interviews. One of those interviews was technical, and the other two were behavioral and leadership focused.
- What are your career goals for the next 5 years?
Machine Learning Engineer
First an initial get-to-know-you call where they asked the typical background questions, personal choices, education (even high school and grades!). Second call with a Consulting Partner from Reply, who mostly talked. No real technical assessment, very few personal questions. Finally, they communicated that they postponed hiring to the second half of the year, contrary to expectations.
- Questions about your background, your personal choices, and your education.
Machine Learning Engineer
They asked me to talk about my data and machine learning experiences from university and then asked a few questions about it. Then, we talked about cloud technologies like Docker and Kubernetes. Finally, there was a small, simple Python exercise involving lists and dictionaries.
- Can you tell us about your data and machine learning experiences during university, and are there any follow-up questions?
- Questions regarding cloud technologies, specifically Docker and Kubernetes.
- A simple Python exercise focusing on data structures like lists and dictionaries.
Reply Machine Learning Engineer Interview Questions
Quoted word for word from Reply interview reports.
“What are the defining characteristics of language models such as GPT and BERT?”
Read reports →“Write a SQL query.”
Read reports →“What is cloud computing and what benefits does it provide?”
Read reports →“Can you explain what backpropagation is?”
Read reports →“Can you explain clustering algorithms?”
Read report →“Are there methods or techniques to make a machine learning model explainable?”
Read report →“What metrics do you use to evaluate clustering?”
Read report →“Tell me about ensemble models, boosting, and XGBoost.”
Read report →“Describe your experience with Terraform.”
Read report →Formats, difficulty and experience
Across all 16 Reply interview reports.