Machine Learning Engineer Interview Questions

Machine Learning Engineer Interview Questions

Unternehmen nehmen die Dienste von Machine Learning Engineers in Anspruch, um Systeme zu entwerfen und zu optimieren, mit denen sich ihre Software selbstständig verbessern kann, statt speziell programmiert werden zu müssen. Stellen Sie sich darauf ein, dass während des Vorstellungsgesprächs Ihr Wissen in den Bereichen Informatik und Data Science abgefragt wird. Dabei wird der Schwerpunkt im Zweifelsfall auf dem Erkennen von Mustern und Trends liegen. Erforderlich ist ein Bachelor-Abschluss in Informatik oder einem verwandten Fachgebiet.

Typische Bewerbungsfragen als Machine Learning Engineer (m/w/d) und wie Sie diese beantworten

Question 1

Frage 1: Welches sind die wichtigsten Algorithmen, Programmierbegriffe und Theorien, die man als Machine Learning Engineer verstanden haben muss?

How to answer
So beantworten Sie die Frage: Seien Sie darauf vorbereitet, über Dinge wie Type-I- und Type-II-Fehler, beaufsichtigtes und unbeaufsichtigtes maschinelles Lernen, ROC-Kurven und andere wichtige Aspekte des maschinellen Lernens zu sprechen. Der Arbeitgeber möchte sich vergewissern, dass Sie über fundierte Kenntnisse der technischen Aspekte der zu besetzenden Stelle verfügen.
Question 2

Frage 2: Wie würden Sie jemandem, der es nicht kennt, das Konzept des maschinellen Lernens erklären?

How to answer
So beantworten Sie die Frage: Manchmal müssen Machine Learning Engineers mit anderen Personen zusammenarbeiten, die mit den technischen Aspekten der Tätigkeit nicht vertraut sind. Nutzen Sie diese Frage im Vorstellungsgespräch als Gelegenheit, Ihre guten Kenntnisse über die Stelle und Ihre Kommunikationskompetenzen unter Beweis zu stellen.
Question 3

Frage 3: Wie bleiben Sie über aktuelle News und Trends im Bereich des maschinellen Lernens auf dem Laufenden?

How to answer
So beantworten Sie die Frage: Sprechen Sie darüber, wie Sie bei aktuellsten News und Trends im Bereich des maschinellen Lernens auf dem neuesten Stand bleiben, und zeigen Sie Ihrem potenziellen Arbeitgeber so, dass Sie sich mit der Branche beschäftigen, als Forscher kompetent sind und eine hohe Motivation mitbringen.

8,194 machine learning engineer interview questions shared by candidates

Algorithms and Data Structure. Typical Leetcode/Hackerrank questions. You will use an online coding tool to do the actual coding and explain your thoughts. 1. Balanced Brackets, determine a string of brackets has a balanced structure,.
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Machine Learning Engineer

Interviewed at Qualcomm

3.8
Jan 30, 2018

Algorithms and Data Structure. Typical Leetcode/Hackerrank questions. You will use an online coding tool to do the actual coding and explain your thoughts. 1. Balanced Brackets, determine a string of brackets has a balanced structure,.

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.
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.

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