Data Structures and Algorithms- Linked List, Matrix manipulation, dynamic programming, etc. (Easy/Medium from Leetcode/Hackerrank). Machine Learning- Supervised, unsupervised algorithms, model comparison, etc.
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: What are the most important algorithms, programming terms, and theories to understand as a machine learning engineer?
Question #2: How would you explain machine learning to someone who doesn't understand it?
Question #3: How do you stay up to date with the latest news and trends in machine learning?
8,202 machine learning engineer interview questions shared by candidates
None because I was ghosted.
Programming on whiteboard: Implement a regex parser.
What is your approach to designing an application
How would you declare an int and two doubles to use space in memory as efficiently as possible?
Medium leetcode question related to strings.
Pick one ML algorithm and explain it in laymans terms
how to efficiently find the number of 1 in the binary representation of a 32 bit number
Hackerrank: Balanced brackets
A python programming question about data structure, need actually compile it and see if it pass the testcase. They also asked a few questions on code efficiency.
Viewing 7821 - 7830 interview questions