Tell me about yourself. Have you heard of Kaggle? Do you have github page so I can see your code?
Machine Learning Engineer Interviews
Machine Learning Engineer Interview Questions
Companies rely on machine learning engineers to help design and improve the systems that allow their software to improve on its own, rather than being specifically programmed. During the interview process, be prepared to be tested heavily on both computer science and data science knowledge with an emphasis on recognizing patterns and trends. A bachelor's degree in computer science or a related field will be required.
Top Machine Learning Engineer Interview Questions & How to Answer
Question 1
Question #1: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
How to answer
How to answer: Be prepared to talk about things like Type I and Type II errors, supervised and unsupervised machine learning, ROC curves, and other key parts of machine learning. Employers want to know you have a strong knowledge of the technical aspects of the job position.
Question 2
Question #2: How would you explain machine learning to someone who doesn't understand it?
How to answer
How to answer: Sometimes machine learning engineers have to work with people who aren't familiar with the technical aspects of the job. Use this interview question as an opportunity to show your strong knowledge of the position and your communication abilities.
Question 3
Question #3: How do you stay up to date with the latest news and trends in machine learning?
How to answer
How to answer: By talking about how you're up to date with the latest news and trends in machine learning, you can show an employer that you're engaged in the industry, a skilled researcher, and self-motivated.
8,212 machine learning engineer interview questions shared by candidates
Cannot remember but it was a HR discussion only.
Tell me about something impressive about you?
Where do you want to be in 5 years from now? What would you change in your next job relative to your last/current one? Why do you want to work for 12traits? You have to train an unsupervised model (e.g. clustering). How do you assess if you assigned the most correct labels to observations without pre-labeled data at hand?
Come ti sei appassionato all'informatica?
Wie würden Sie sich als Mitarbeiter beschreiben?
Tell me about a data science project you have done
Resume related and sample problem on real-time data
Why should we hire you ? (Typical stupid HR type of question that wasting th your time and patience, rather than focusing on the technical aspect) Could you build a model with XYZ data ? (Not specifying the volume of data, features, targets and other constraints. Again, showing that they know very little about machine learning.)
example, what is confusion metrics and AUC and ROC Random, Logistic Regression.
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