Microsoft

Machine Learning Engineer Interview Experience

October 1, 2016

Neutral ExperienceNo Offer

Process

I was contacted by a recruiter and set up a Skype screening with the team lead. The interviewer was helpful and nice, but since I was notified what types of questions would be asked, I prepared a lot of machine learning algorithms and didn't prepare for data structures and algorithms.

Questions

Array problem: pattern searching

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Interview Statistics

The following metrics were computed from 3 interview experiences for the Microsoft Machine Learning Engineer role in United States.

Success Rate

0%

Pass Rate

Microsoft's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive67%

Neutral33%

Negative0%

Candidates reported having very good feelings for Microsoft's Machine Learning Engineer interview process in United States.

Microsoft Work Experiences

Too many employees, low salary for the lower 80%

Machine Learning Engineer • Current Employee

Bellevue, Washington, United States

Pros: If non-cloud, work-life balance. If cloud, opportunity to grow.

Cons: Low salary compared with other companies.

Too many employees, low salary for the lower 80%

Machine Learning Engineer • Current Employee

Bellevue, Washington, United States

Pros: If non-cloud, work-life balance. If cloud, opportunity to grow.

Cons: Low salary compared with other companies.

Good interview experience

Machine Learning Engineer • Current Employee

Bengaluru, Karnataka, India

Pros: Flexible work-life balance. Good place to work.

Cons: There aren't any cons of working at Microsoft.

Good interview experience

Machine Learning Engineer • Current Employee

Bengaluru, Karnataka, India

Pros: Flexible work-life balance. Good place to work.

Cons: There aren't any cons of working at Microsoft.

Machine learning engineer at Microsoft

Machine Learning Engineer • Current Employee

Cairo, Cairo Governorate, Egypt

Pros: Very nice team. Good work environment.

Cons: A lot of hard and difficult work.

Machine learning engineer at Microsoft

Machine Learning Engineer • Current Employee

Cairo, Cairo Governorate, Egypt

Pros: Very nice team. Good work environment.

Cons: A lot of hard and difficult work.

Too many employees, low salary for the lower 80%

Machine Learning Engineer • Current Employee

Bellevue, Washington, United States

Pros: If non-cloud, work-life balance. If cloud, opportunity to grow.

Cons: Low salary compared with other companies.

3.0
Too many employees, low salary for the lower 80%
Machine Learning Engineer • Current Employee
Bellevue, Washington, United States
May 13, 2025
Pros: If non-cloud, work-life balance. If cloud, opportunity to grow.
Cons: Low salary compared with other companies.

Good interview experience

Machine Learning Engineer • Current Employee

Bengaluru, Karnataka, India

Pros: Flexible work-life balance. Good place to work.

Cons: There aren't any cons of working at Microsoft.

4.0
Good interview experience
Machine Learning Engineer • Current Employee
Bengaluru, Karnataka, India
April 29, 2023
Pros: Flexible work-life balance. Good place to work.
Cons: There aren't any cons of working at Microsoft.

Machine learning engineer at Microsoft

Machine Learning Engineer • Current Employee

Cairo, Cairo Governorate, Egypt

Pros: Very nice team. Good work environment.

Cons: A lot of hard and difficult work.

5.0
Machine learning engineer at Microsoft
Machine Learning Engineer • Current Employee
Cairo, Cairo Governorate, Egypt
July 6, 2024
Pros: Very nice team. Good work environment.
Cons: A lot of hard and difficult work.

Microsoft Interview Questions

Minimum Edge Reversals So Every Node Is Reachable

You're given a directed graph. Determine the minimum number of edges you need to reverse so that every node becomes reachable from node 0.

GraphsDynamic Programming

Two Sum

Find two numbers in a given array that add up to a specific target value, and return their indices. Essentially, you need to efficiently locate the pair that satisfies the sum requirement.

Valid Word

Determine if a given word is considered valid based on a specific set of rules or constraints. The goal is to check if the input string adheres to the specified validation criteria.

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