It was asked a vague question, It was the input of an ML model but they wanted me to treat it as a string. Basicly Read a string and put it in the hashmap.
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.
8,194 machine learning engineer interview questions shared by candidates
My projects
Questions were all about the different machine learning algorithm, like MLP, SVM, kNN, CNN, and ... The interviewer was interesting to know how I implemented the algorithms, what type of data set (numerical or text-based) data that I used, and the accuracy that I obtained. It was no routine software engineering question about the data structures, algorithms, or programming languages at all. It was a very straightforward interview, low stressful, and friendly interview, all based on my own resume.
Fix a piece of sh*t code that just request data and save it to MySql. Super easy and easy to fix so I don't know what is the point of the interview. Totally a sh*t experience.
What you did professionally that is related to machine learning/data science position?
Can you explain how a binary-tree works and what are some uses of a binary tree?
Given a number, how to find a closest number in a series of floating point data.
A sensor passes incoming data every 10 secs. We have to calculate daily average. What GCP component will one use to store data and how will scheme be designed
List connected cells in a binary matrix
If you had multiple job offers of comparable benefits and salary and work, what would be the aspect that of one company or another that would be your final deciding factor?
Viewing 21 - 30 interview questions