what was your research project about? what are some of the transformers model inference time optimizations?
Learning Engineer Interview Questions
6,597 learning engineer interview questions shared by candidates
Take home assignment about ML
Questions about academic/professional path, salary expectations, etc. "Explain the bias variance trade-off" "What's the difference between L1 and L2 regularisation" "Explain gradient decent (GD). Why do we use Stochastic gradient decent (SGD) instead of GD. Mention some other variants of optimisers." "Describe a ML system. What are the different components that go into it?" "Suppose you are asked to deploy a model as a micro-service. What are the various components you need to think about when designing the service. Give a generic explanation for each component and one particular instantiation using one or more technology." "What are Directed Acyclic Graphs (DAG)?" "What should be a leader?" "What are your strengths and your weaknesses?" "What motivates you to wake up everyday?"
Finding optimal sequence based on 4-5 different constraints. Combination of index constraint satisfaction and other problems.
File Replicator(not seen in leetcode), it's little bit strange for a machine learning Engineer. More testing the python usage features.
There were few questions about how I handled various situations in the past and what could be done differently. This shows team pays attention not only to technical knowledge, but also values positive attitude.
2 Leet code medium question
Was ist ein Projekt auf das du besonders stolz bist? Und worauf genau?
Code the GPT-style self-attention mechanism in tensorflow or pytorch
Build a model or algorithm to classify 10 classes, but more classes could be added or removed in the future. So this model should be flexible without affecting its architecture.
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