Getting ready for a Machine Learning Engineer interview at Apple? The Apple Machine Learning Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
Interview Query regularly analyzes interview experience data, and we’ve used that data to produce this guide, with sample interview questions and an overview of the Apple Machine Learning Engineer interview.
Apple Machine Learning Engineer Interview Questions
Interview questions that appear in Apples Machine Learning interview fall under the following categories:
Coding interview questions
Machine Learning interview questions
Behavioral interview questions
Letâs look at the topics to prepare and sample interview questions in each of these areas.
Coding is an extremely important skill for ML engineering roles. Below are the topics to prepare for the coding aspect of ML engineer interviews at Apple:
Youâre given an array of integers. Write a code to determine if there are three integers in the array whose sum equals a given value.Â
Write a program function to clone a given directed graph such that the cloned graph has the same edges and vertices.Â
Youâre given two sorted Linked Lists. Write a code to merge the linked lists such that the returning linked list is also sorted.
Youâre provided with the roots of two Binary Trees. Write a code to determine if the two Binary Trees are identical or not.Â
Given the root node of a Binary Tree âB,â write a code to swap the right and left children for each node of the tree.Â
Write a code to reverse the order of words in a given sentence.
Youâre given an array of size N. Write a code to search for the second largest element in the array.Â
Youâre given an array A of size N. Write a function to find the minimum index-based distance between two elements in the array.Â
For more coding problems with complete solutions, visit our Problems Page
ML interview questions are asked during the Technical Phone Screen Round and during the On-site ML round. Here are some sample ML interview questions asked at the Apple ML Engineering interview. Before that, letâs look at the topics to prepare:
BigQuery
TensorFlow
Cloud Vision
Model Validation
Model Optimization
Deep Learning Models
Predictive Models
Data Processing
ML and DL frameworks
Amazon ML engine
Explain the different types of Machine Learning algorithms
Differentiate between supervised and unsupervised learning with relevant examples
In a Naive Bayes, what is the term Naive?
Explain Principal Component Analysis and its applications
Explain in detail the working of the SVL algorithm
Behavioral interviews take place during the on-site interview. They are an important part of the decision-making process. Below are some behavioral interview questions asked at Appleâs ML engineer interview:
Tell us about a time when you worked on a highly demanding project that stretched you
Tell us about the most important ML project you worked on in the past
What have been your biggest challenges as an ML engineer?
How do you ensure to maintain your mental health?
Tell us about a time when you disagreed with a superior.
Tell us about a time when you had to adapt quickly and pick up new skills for a project.
Recommended Reading: Behavioral Interview Questions for Software Developers
Phone Screen
There can be up to 2 phone screen rounds. It will be a 30-minute informal conversation with a recruiter, who will assess your interest in Apple and the role and how well you will fit in the team. The first call will be with an internal recruiter, but the second call might be with a team lead since all the openings at Apple are team-specific. You will be asked questions about your academic qualifications, professional achievements, and past projects.
Recommended reading: Apple Phone Interview Questions
Apple Java Interview Questions:
Define the final keyword in Java?
Is Java pass by value or pass by reference?
Differentiate between swap and compare algorithm?
Can you have an empty catch block while programming in Java?
What are the key elements of the Java programming language?
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