Mujin Computer Vision Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 13 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Mujin.
Mujin
Computer Vision Software Engineer
Senior Difficult Positive experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical Other
So, there wasn't any actual coding involved. Instead, they wanted me to tackle a real-world problem scenario and also show I get the fundamental math behind computer vision. The interviewer was pretty cool, actually, and did a good job explaining some basic concepts and ideas.
Confirmed questions1 question
- Can you describe how you would go about detecting this tissue box?
Mujin
Computer Vision Engineer
Entry Average Neutral experience No offer 3 rounds
Interview process
Recruiter call Technical screen Onsite
Interview formats
Behavioral Technical
So there were three rounds. It started with HR, then a technical interview, and then a final chat with the CTO. The HR part was pretty basic, mainly about salary expectations and whether I needed visa sponsorship. After that, I had a technical interview with the Director of the Computer Vision Team. This focused on the core concepts of Geometric Computer Vision, like the Essential, Fundamental, and Homography matrices, and Camera Intrinsics. Interestingly, they didn't ask any questions about ML-based Computer Vision, though the Director mentioned they're open to using ML methods. It seems their focus is more on traditional robotics and factory automation, similar to companies like FANUC or Cognex.
Confirmed questions4 questions
- Can you explain the differences between fundamental, essential, and homography matrices?
- What are the constituents of a camera intrinsics matrix and how do you perform lens distortion correction?
- What units are used for the elements within the camera intrinsics matrix, and what is the impact of cropping an image on these intrinsics?
Mujin
Computer Vision Engineer
Mid Average Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Behavioral Technical Coding
First round was pretty chill, just a chat with the recruiter. Then, the real deal: a 4-hour technical round with the hiring manager. We kicked things off with geometric computer vision basics, scribbling down equations. Then, we dove into the pick-and-place pipeline – picking the right camera, feature detection, and figuring out the object's pose. Robot kinematics came up too. Finally, wrapped it up with a coding problem, like something you'd see on LeetCode, but on the easier side.
Confirmed questions5 questions
- Could you explain how a 3D point is projected onto the image plane?
- Regarding image resizing, would this impact the calibration matrix?
- What exactly is a stereo camera?
Mujin Computer Vision Engineer Interview Questions
Quoted word for word from Mujin interview reports.
“What units are used for focal length and the principal point in a camera matrix?”
Read reports →“What are the key differences between a SIFT descriptor and a SURF descriptor?”
Read reports →“What units are used for the elements within the camera intrinsics matrix, and what is the impact of cropping an image on these intrinsics?”
Read reports →“What constitutes a keypoint, and what are the uses of keypoints in computer vision?”
Read reports →“What is a homography, and how is it utilized in computer vision?”
Read report →“What is a convolutional neural network, and how is it applied within computer vision?”
Read report →“What are the constituents of a camera intrinsics matrix and how do you perform lens distortion correction?”
Read report →“How would you compute the transformation matrix linking the camera and the end-effector?”
Read report →“What is a convolution, and how does it apply to computer vision tasks?”
Read report →Formats, difficulty and experience
Across all 13 Mujin interview reports.