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.
Machine Learning Engineer Interview Questions
6,169 machine learning engineer interview questions shared by candidates
Find what's wrong with the code you see, and as you identify the error, explain out loud what you're reading.
ML system design, coding, etc.
scenario analysis probability calculation past experience
1)EDA 2)System design 3) Behavioral round
Basic ML stuff, nothing special. The process also involves working out an assignment. I'd recommend really to consider whether you want to invest time in it because in the end you risk being left even without a simple response wrapping up the whole interaction.
The technical hands-on interview was an exercise about data preprocessing and ML inference in Python on a pair programming platform.
Why do you think you are a good match for this position?
1. Considerations while building ML pipelines. 2. How comfortable you are with writing YAML, shell scripting 3. ML basics 4. 1 Leetcode Easy question
A string was given in the form "010101,11101". You were tasked with adding the two binary numbers before and after the comma in-between.
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