Skip to contentSkip to footer

Machine Learning Engineer Interviews

Salaries
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.

8,195 machine learning engineer interview questions shared by candidates

1. Reverse a Linked List (Python) Question: Describe how you would reverse a linked list in Python. Details: The interviewer asked for a function that takes the head of a linked list and reverses it, returning the new head of the reversed list. They were interested in understanding the logic and efficiency of your approach. 2. Remove Cycles from a Graph Question: How would you remove cycles from a graph given an integer n representing node IDs and a list of tuples representing edges? Details: The task was to provide an algorithm that removes cycles from a graph and outputs a list of edges of the new graph with cycles removed. The interviewer was looking for knowledge of graph theory and algorithms to detect and remove cycles. 3. Calculate Calories Burned During a Ride (Python) Question: Write a Python function to calculate the calories burned during a ride based on the rider's weight and ride data. Details: The function needed to calculate the total calories burned given the weight of the rider and a list of tuples representing different segments of the ride, each with a duration and speed. 4. Find the Maximum Sum of Two Numbers in a List (Python) Question: Write a Python function to find the maximum sum of any two numbers in a list. Details: The interviewer wanted to see how you would identify the two largest numbers in a list and sum them up efficiently, demonstrating your problem-solving skills with basic list operations. 5. Merge Two Sorted Lists (Python) Question: How would you merge two sorted lists into one sorted list in Python? Details: The task was to create a function that merges two pre-sorted lists into a single sorted list, showing your understanding of list operations and efficiency in merging algorithms.
avatar

Machine Learning Software Engineer - Embedded-AI-Framework

Interviewed at Qualcomm

3.8★
May 21, 2024

1. Reverse a Linked List (Python) Question: Describe how you would reverse a linked list in Python. Details: The interviewer asked for a function that takes the head of a linked list and reverses it, returning the new head of the reversed list. They were interested in understanding the logic and efficiency of your approach. 2. Remove Cycles from a Graph Question: How would you remove cycles from a graph given an integer n representing node IDs and a list of tuples representing edges? Details: The task was to provide an algorithm that removes cycles from a graph and outputs a list of edges of the new graph with cycles removed. The interviewer was looking for knowledge of graph theory and algorithms to detect and remove cycles. 3. Calculate Calories Burned During a Ride (Python) Question: Write a Python function to calculate the calories burned during a ride based on the rider's weight and ride data. Details: The function needed to calculate the total calories burned given the weight of the rider and a list of tuples representing different segments of the ride, each with a duration and speed. 4. Find the Maximum Sum of Two Numbers in a List (Python) Question: Write a Python function to find the maximum sum of any two numbers in a list. Details: The interviewer wanted to see how you would identify the two largest numbers in a list and sum them up efficiently, demonstrating your problem-solving skills with basic list operations. 5. Merge Two Sorted Lists (Python) Question: How would you merge two sorted lists into one sorted list in Python? Details: The task was to create a function that merges two pre-sorted lists into a single sorted list, showing your understanding of list operations and efficiency in merging algorithms.

Viewing 7871 - 7880 interview questions

Glassdoor has 8,195 interview questions and reports from Machine learning engineer interviews. Prepare for your interview. Get hired. Love your job.