Kinaxis Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 8 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Kinaxis.
Kinaxis
Machine Learning Engineer
Intern Easy Positive experience Decline offer 1 round
Interview process
Technical screen
Interview formats
Behavioral Technical
I had one interview with two people from the team. They mostly asked about my PhD research and some straightforward questions. It seemed like they were more focused on my problem-solving approach and my typical workflow.
Confirmed questions1 question
- Could you describe a challenge you encountered during your research or in a previous project, and detail the steps you took to resolve it?
Kinaxis
ML Engineer
Mid Average Neutral experience Decline offer 2 rounds
Interview process
Technical screen Onsite
Interview formats
Technical Coding System Design
The interview at Kinaxis for the ML Engineer role was pretty structured and leaned heavily on technical skills. We talked about ML basics, coding in Python, designing systems, and how to actually solve problems using ML. The interviewers were cool and seemed to care a lot about how clearly you could explain things, how scalable your solutions were, and how they'd work in the real world.
Confirmed questions6 questions
- Can you discuss time series analysis?
- What are your thoughts on MLOps?
- Tell me about fundamental ML concepts.
Kinaxis
Machine Learning Engineer
Entry Average Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical
I was contacted by HR and after that I had initial screening interview with the hiring manager. She went over my resume and specifically asked about the details of my project. She also asked behavioral questions. Overall I had a positive experience.
Confirmed questions1 question
- How do you approach solving challenging problems?
Kinaxis Machine Learning Engineer Interview Questions
Quoted word for word from Kinaxis interview reports.
“Can you discuss time series analysis?”
Read reports →“Describe a system design for an ML application.”
Read reports →“How do you see AI models being applied practically?”
Read reports →“How would you approach this Python coding problem?”
Read reports →“Tell me about fundamental ML concepts.”
Read report →“What are your thoughts on MLOps?”
Read report →“Could you design a system to forecast demand for over 1000 retailers from start to finish?”
Read report →“Tell me about something you are most proud of.”
Read report →“How do you approach solving challenging problems?”
Read report →Formats, difficulty and experience
Across all 8 Kinaxis interview reports.