Google

Machine Learning Engineer Interview Experience

March 25, 2026

Neutral ExperienceNo Offer

Process

I applied through a staffing agency. The process took 3 days.

I got reached out by a third party recruiter who was representing Google for this role. They set up a call and told me about the role and interview rounds. 3 rounds in total were scheduled in one go, all of which were supposedly to be taken in consecutive days.

Questions

An implementation of the LM-head of a decoder-based language model

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Interview Statistics

The following metrics were computed from 43 interview experiences for the Google Machine Learning Engineer role.

Success Rate

5%

Pass Rate

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

Experience Rating

Positive72%

Neutral14%

Negative14%

Candidates reported having very good feelings for Google's Machine Learning Engineer interview process.

Google Work Experiences

good wlb

Machine Learning Engineer • Former Employee

February 16, 2026

Pros: There was good food, a good salary, and a good WLB.

Cons: Nothing as such, I didn't find.

Machine Learning Engineer • Former Employee

February 16, 2026

Pros: There was good food, a good salary, and a good WLB.

Cons: Nothing as such, I didn't find.

Outstanding culture, brilliant peers, real impact

Machine Learning Engineer • Former Employee

Pros: Brilliant colleagues foster continuous learning and innovation.

Cons: Promotion criteria can feel opaque and subjective.

Outstanding culture, brilliant peers, real impact

Machine Learning Engineer • Former Employee

Pros: Brilliant colleagues foster continuous learning and innovation.

Cons: Promotion criteria can feel opaque and subjective.

Great Science, Overwhelming Tasks

Machine Learning Engineer • Current Employee

Watreso, Central, United States

December 7, 2021

Pros: Very scientific environment and friendly staff.

Cons: Workload and daily meetings

Great Science, Overwhelming Tasks

Machine Learning Engineer • Current Employee

Watreso, Central, United States

December 7, 2021

Pros: Very scientific environment and friendly staff.

Cons: Workload and daily meetings

good wlb

Machine Learning Engineer • Former Employee

February 16, 2026

Pros: There was good food, a good salary, and a good WLB.

Cons: Nothing as such, I didn't find.

5.0
good wlb
Machine Learning Engineer • Former Employee
New Delhi
February 16, 2026
Pros: There was good food, a good salary, and a good WLB.
Cons: Nothing as such, I didn't find.

Outstanding culture, brilliant peers, real impact

Machine Learning Engineer • Former Employee

Pros: Brilliant colleagues foster continuous learning and innovation.

Cons: Promotion criteria can feel opaque and subjective.

5.0
Outstanding culture, brilliant peers, real impact
Machine Learning Engineer • Former Employee
May 5, 2025
Pros: Brilliant colleagues foster continuous learning and innovation.
Cons: Promotion criteria can feel opaque and subjective.

Great Science, Overwhelming Tasks

Machine Learning Engineer • Current Employee

Watreso, Central, United States

December 7, 2021

Pros: Very scientific environment and friendly staff.

Cons: Workload and daily meetings

5.0
Great Science, Overwhelming Tasks
Machine Learning Engineer • Current Employee
Watreso, Central, United States
December 7, 2021
Pros: Very scientific environment and friendly staff.
Cons: Workload and daily meetings

Google Interview Questions

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.

Palindrome Number

Determine whether an integer is a palindrome. That is, it reads the same forwards and backward.

Bit Manipulation

Add Two Numbers

You are given two linked lists, each representing a non-negative integer. Add the two numbers and return the sum as a linked list.

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