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Ml Engineer Interview Questions
2,751 ml engineer interview questions shared by candidates
- Simple pattern matching MCQs
Resume questions and ML questions
- 6 hard quiz - questions with 4-6 T/F options (not necessarily from your everyday ML algorithms). - 1 medium leetcode problem (from their list of most repeated questions) - 2 implementation questions. Mine were KNN and Kmeans. - One neural network hand-calculation (easy) Overall the assessment was thorough, but the time limit is unreasonably low! As someone with tons of coding and ML experience, I could say you had to be top 10% of Stanford graduates so that you can come close to getting all the questions right in 70 mins.
Explain me loss? Go over attention for someone who doesn’t know the technical details.
Is K nearest neighbor supervised or unsupervised. What is regularization? Would you increase or decrease the learning rate if loss is oscillating. A LC hard graph question.
What is SVM in machine learning?
First Round: With one interviewer, I was asked a set of Python MCQs covering concepts like mutable vs immutable types, list comprehensions, and variable scope. Additionally, I solved DSA problems focused on arrays and strings to demonstrate my problem-solving skills and optimization techniques. Second Round: Again, with a single interviewer, I worked on machine learning coding problems and discussed core ML concepts, including algorithms, model evaluation, and practical ML applications.
tf-idf on a dataset that they provide, manually load csv and fix broken dataset.
The most important question I was asked was about my educational and professional experience. They wanted to know how my studies and previous work experience have prepared me for this role and how I can contribute my skills to the company.
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