
Xpeng Motors 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 Xpeng Motors.
Machine Learning Engineer
Started with a self-intro, then two LeetCode questions (number of islands and unique islands). Then we talked about my projects and some basic reinforcement learning concepts like on/off policy and policy/value based algorithms.
- Can you tell me about your experience with reinforcement learning?
Machine Learning Engineer Intern
I introduced myself, then explained the projects on my resume, and then was asked to calculate the Intersection over Union (IoU) of two rectangles. After that, I got feedback and asked questions.
- What is the Intersection over Union (IoU) for two given rectangles?
Machine Learning Engineer
We started with a phone call to review my resume and ask some in-depth questions about my past projects. After that, there was a coding test and a skill test focused on machine learning methods.
- Between K-means and SVM, which one uses more storage space?
Xpeng Motors Machine Learning Engineer Interview Questions
Quoted word for word from Xpeng Motors interview reports.
“Between K-means and SVM, which one uses more storage space?”
Read reports →“What is the Intersection over Union (IoU) for two given rectangles?”
Read reports →“How would you calculate the Intersection over Union (IoU) for two triangle objects?”
Read reports →“Can you tell me about your experience with reinforcement learning?”
Read reports →“Tell me about the most significant project you've worked on.”
Read report →Formats, difficulty and experience
Across all 5 Xpeng Motors interview reports.