one of the coding question is lc46
Applied Research Interview Questions
518 applied research interview questions shared by candidates
Practise basic ML, DL, Neural network, basics should be clear, DSA practise - Leetcode easy/medium. Be a good person for behavioural questions.
system design for ads filtering system
The interview questions are confidential
ML basics, NLP, Leetcode, behavioral
* ML Basics, Past projects walk through, DSA
First interview about big data and OLS
Real project about zalando, ML/AI
Tell me about yourself and relevant projects for this role
One 90 minutes technical screening with questions on statistics, applied deep learning, machine learning theory and a easy coding question on TF-IDF Got opportunity to do onsite interview. 5 rounds total Round 1: ML depth, the interviewer simply took the problem he worked on in zalando, forecasting and marketing intelligence. I.e. modelling the bidding of Google keywords during search for placing their ads to users. I had no experience with reinforcement learning, he expected multi arm bandit solution. Round2: Research chat with Director of Casual inference team. This was chat with director of different team to see scientific thinking. Overall went well imo. Round3: Coding round, had a dynamic programming / recursion question where i had to break strings in given set into smaller strings based on reference set. Eg: if reference set has {pan, cake} then break pancake in main set to {pancake : [pan, cake]} Was able to code the solution and interviewer was quite happy with solution. Round 4: Hiring manager round, it had mostly behavioural questions judging team skills in techincal scenarios. Also questions on how do I structure, test and review my code. Round 5: HR round, non technical behavioural round. Went well. Overall feedback: Coding excellent, ML stat ok however this is senior position and needs more experience. Very diplomatic feedback from the process that i don't appreciate.
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