What are your experiences with classification? How did you design your ML pipeline?
Learning Engineer Interview Questions
6,597 learning engineer interview questions shared by candidates
¿Qué es el overfitting? Tipos de métricas en ML Define qué es un RAG
Data structures: internals of a hashmap, linkedList vs arrayList, TreeSet vs HashSet, LinkedSet vs TreeSet, PrefixTree (Trie)
construct a join between 3 tables with some constraints
wavenet, time seriers
I appreciated the depth to which various interviewers wanted to understand what I was looking to get out of a role with PhysicsX, and ensure that we were a good fit for each other.
This was effectively a ML system design question for a entry level position. It's not hard to guess what one could be given that they are effectively trying to solve problems in supply chain. Hint: Try to look up ML system design questions at companies like Uber.
Technical coding test using HackeRank
For hacker rank I solved two basic programming questions. One about accessing an array and another filling missing data with averages.
Asked some basic Python questions about syntax and generators. Take-home assessment was about 5 hours long and consisted of a supervised ML problem. Incorporated skills that they looked for in an ML SWE.
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