Questions were mostly tailored towards the research projects and interviewers asked detailed questions about the ML methods that were used.
Applied Scientist Interview Questions
1,160 applied scientist interview questions shared by candidates
ml knowledge and coding problems
Maximum sum in nodes of tree, maximum length of valid parentheses substring
Two interviews: The first interview was on my research work and one coding question (write code for a basic text tokenizer). The second interview was on an ML design question (How will you go about designing a Machine Translation system) + behavioral question (Tell me about a time when you had limited time to work)
Describe the method of integral images
[Online coding question] TwoSum. Return the indice of two numbers that sum up to a given target number.
[ML/DL] Explain Language Modeling
a lot of behavior questions. also some very basic machine learning and algebra questions.
1st onsite interview: Technical/Research questions included: YOLO and its derivatives, SVMs and kernels, Metric learning, Segmentation (semantic vs instance), non-dl image matching (i.e SIFT features), clustering methods, supervised vs non-supervised learning etc.
4th onsite interview: Technical question How would you improve amazon's core services using computer vision techniques. The question actually overlapped with the discussion with the 2nd interviewer, so I had to come up with a different novel idea. Coding question For a list of rectangles/subarrays find the average of each one on a 2D Matrix
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