A coding problem
Machine Learning Engineer Interview Questions
6,167 machine learning engineer interview questions shared by candidates
Random Walk Distances On Graphs Given a graph and any pair of vertices i and j, it is possible to take a random walk starting from i and eventually arrive at j, if i is connected to j. Specifically, starting at i, each time we choose an edge to traverse randomly according to some probability distribution P, and repeat until we arrive at j for the first time. The number of edges traversed is a random variable with some expected value, which is the expected random walk distance from i to j. By this definition, the expected random walk distance from a vertex to itself is always 0. Furthermore, multiple traversals of an edge are also counted in the random walk distance. Your task is to write a program to estimate the expected random walk distance between all pairs of vertices in a given graph.
Both techical screening and algorithms interview were Leetcode-style questions. I never saw exactly same problems on Leetcode, but very similar (Medium level)
Systems Design for how Rokt's product works (think how Amazon recommends products when you add something to your basket/look at a product).
Machine round test a good one
Several questions across different interviews. Was asked to implement knn and select an algorithm that would deal with video scene identification for the final one. Also, the HR asked the questions that you can find in any interview process of a large company, e.g describe a time where you explained a technical matter to a non-technical audience etc.
How many ways to climb to a ladder of n height, if you can take either one or two steps. (hint: dynamic programming)
Recommender Algorithm System Design (Machine Learning System Design)
Q: Write a code for dot product of two sparse vectors making sure it is time and space efficient
What is regularization used for?
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