Each interview consists of questions about your resume (past research projects/experience), general computer vision/machine learning questions (e.g. explain architectures of modern object detectors), then followed by 1-2 coding problems (LeetCode easy).
Nothing special, mostly around machine/deep learning and data structure
DSA, SQL, Project discussion, OOPs concepts.
Describe your profile.
Although the job title is "Computer Vision Engineer", the questions were about data structure concept.
How well do you work with others? What type of challenges did you face in your previous positions? How did you address and/or overcome them?
Inheritance, polymorphism. Many questions related to graphs and graph traversals. How would you implement a connected components labeling in a binary image?
Asked me to provide solutions for a toy machine learning problem
When did you have your mind changed and why?
What motivates you in your career?
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