Classical computer science questions, cannot talk about specific, NDA
Software Engineer Machine Learning Interview Questions
241 software engineer machine learning interview questions shared by candidates
Did not make it this far - canceled before interivew. However the study materials sent to me by the recruiter included basic comp sci/SE data structures and algorithms, that I would need to code in a scripting language during the tech screen. The resources were great, very comprehensive, but so much that it would be best to pare down to the essentials. I learned a lot from looking up what other successful candidates had done for their prep. AlgoExpert was my favorite resource, along with books like Cracking the Coding Interview by Gayle Laakmann McDowell and some popular textbooks.
algorithm problem can be solved with dfs
A hard variant of binary search.
Case study on designing ML system for customer churn. Asked conceptual questions on validation metrics.
what is java compiled files format?
What is the time complexity of accessing an element in a Hash table?
The technical challenge involved implementing an optimization algorithm based on the real-world problems they need to solve.
Q: How would you design a news recommender system for Facebook?
Systems Design: Design Facebook Messenger --> be prepared to support every single decision you make and explain terms thoroughly. The interviewer will question your decisions and will try to break you so be firm on why you selected that design ML Systems Design: although the requiter told me that they will ask me to design a recommendation system or design the News Feed for Facebook etc the reality was completely different leaving puzzled throughout the interview. Nevertheless, the interviewer asked me about my past projects and then he/she selects one that was interesting. Interviewer and interviewee spend almost 40' breaking down the task into smaller parts, understand the difficulty of the project, discuss what could have been done better / other solutions / other data preparation techniques/approaches etc Be prepared to write the mathematical formulae of everything you are talking about. Coding assessment: Leetcode is your friend. I was asked in total 7 coding questions; 6 came from Leetcode/Facebook section. However, do not expect to have the most frequently ones asked. You need to explain your solution as you go. You will also be asked if there are any edge cases you have forgotten and other ways to solve this (faster / less space complexity). They rarely ask for space complexity but time complexity is a must for them. Behavioral Interview: be prepared to answer questions about your difficult times. For example, tell me about a time you had a conflict, tell me about a stressful time and how did you cope with that / what did you learn, tell me about a constructive feedback, describe a project that start as X and changed in the way into Y -- why did that happen and what was the role you played. Be sincere, just that.
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