Unity

Senior Machine Learning Engineer Interview Experience - Spain

July 1, 2020

Negative ExperienceNo Offer

Process

An initial screening with the recruiter asked about my background, previous projects, and technologies used.

This was followed by a technical task that took me 8 hours to complete.

Questions

Create and deploy a model for Ad-install prediction.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Unity Senior Machine Learning Engineer role in Spain.

Success Rate

0%

Pass Rate

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

Experience Rating

Positive0%

Neutral0%

Negative100%

Candidates reported having very negative feelings for Unity's Senior Machine Learning Engineer interview process in Spain.

Unity Work Experiences

Lack of Growth, Transparency, and Stability

Senior Machine Learning Engineer • Current Employee

London, England, United Kingdom

Pros: Contributed to large-scale data projects with real-world impact on a broad user base.

Cons: The company lacks stability and transparency, with limited opportunities for career growth. Compensation has remained stagnant for several years, and internal changes—such as layoffs—often occur without clear communication and hidden from the public.

Lack of Growth, Transparency, and Stability

Senior Machine Learning Engineer • Current Employee

London, England, United Kingdom

Pros: Contributed to large-scale data projects with real-world impact on a broad user base.

Cons: The company lacks stability and transparency, with limited opportunities for career growth. Compensation has remained stagnant for several years, and internal changes—such as layoffs—often occur without clear communication and hidden from the public.

Reorgs, reorgs, reorgs

Senior Machine Learning Engineer • Former Employee

Bellevue, Washington, United States

January 21, 2025

Pros: Flexible time off Many wonderful people

Cons: No longer investing in generative AI research.

Reorgs, reorgs, reorgs

Senior Machine Learning Engineer • Former Employee

Bellevue, Washington, United States

January 21, 2025

Pros: Flexible time off Many wonderful people

Cons: No longer investing in generative AI research.

Confusion on Direction

Senior Machine Learning Engineer • Former Employee

Chicago, Illinois, United States

Pros: The team I was originally on was working on some cutting-edge technology. It seemed to have some legs with the professional services to bring in revenue, while continuing to build a platform for a product offering.

Cons: Within 6 months of my starting, there was a reorg that killed the entire professional services we were working on and the product that went along with it. A couple months after that, the team I was moved to was reorged again. A couple of months after that, the team I was on was reorged again. I abandoned ship after this one. A couple months later, I saw massive sweeping layoffs that likely would have included myself.

Confusion on Direction

Senior Machine Learning Engineer • Former Employee

Chicago, Illinois, United States

Pros: The team I was originally on was working on some cutting-edge technology. It seemed to have some legs with the professional services to bring in revenue, while continuing to build a platform for a product offering.

Cons: Within 6 months of my starting, there was a reorg that killed the entire professional services we were working on and the product that went along with it. A couple months after that, the team I was moved to was reorged again. A couple of months after that, the team I was on was reorged again. I abandoned ship after this one. A couple months later, I saw massive sweeping layoffs that likely would have included myself.

Lack of Growth, Transparency, and Stability

Senior Machine Learning Engineer • Current Employee

London, England, United Kingdom

Pros: Contributed to large-scale data projects with real-world impact on a broad user base.

Cons: The company lacks stability and transparency, with limited opportunities for career growth. Compensation has remained stagnant for several years, and internal changes—such as layoffs—often occur without clear communication and hidden from the public.

1.0
Lack of Growth, Transparency, and Stability
Senior Machine Learning Engineer • Current Employee
London, England, United Kingdom
August 8, 2025
Pros: Contributed to large-scale data projects with real-world impact on a broad user base.
Cons: The company lacks stability and transparency, with limited opportunities for career growth. Compensation has remained stagnant for several years, and internal changes—such as layoffs—often occur without clear communication and hidden from the public.

Reorgs, reorgs, reorgs

Senior Machine Learning Engineer • Former Employee

Bellevue, Washington, United States

January 21, 2025

Pros: Flexible time off Many wonderful people

Cons: No longer investing in generative AI research.

3.0
Reorgs, reorgs, reorgs
Senior Machine Learning Engineer • Former Employee
Bellevue, Washington, United States
January 21, 2025
Pros: Flexible time off Many wonderful people
Cons: No longer investing in generative AI research.

Confusion on Direction

Senior Machine Learning Engineer • Former Employee

Chicago, Illinois, United States

Pros: The team I was originally on was working on some cutting-edge technology. It seemed to have some legs with the professional services to bring in revenue, while continuing to build a platform for a product offering.

Cons: Within 6 months of my starting, there was a reorg that killed the entire professional services we were working on and the product that went along with it. A couple months after that, the team I was moved to was reorged again. A couple of months after that, the team I was on was reorged again. I abandoned ship after this one. A couple months later, I saw massive sweeping layoffs that likely would have included myself.

3.0
Confusion on Direction
Senior Machine Learning Engineer • Former Employee
Chicago, Illinois, United States
June 25, 2024
Pros: The team I was originally on was working on some cutting-edge technology. It seemed to have some legs with the professional services to bring in revenue, while continuing to build a platform for a product offering.
Cons: Within 6 months of my starting, there was a reorg that killed the entire professional services we were working on and the product that went along with it. A couple months after that, the team I was moved to was reorged again. A couple of months after that, the team I was on was reorged again. I abandoned ship after this one. A couple months later, I saw massive sweeping layoffs that likely would have included myself.

Unity Interview Questions

Number of Subarrays With LCM Equal to K

Find the number of contiguous subarrays in a given array whose least common multiple (LCM) is equal to a target value K.

ArraysSliding Windows

Insert Delete GetRandom O(1)

Design a data structure that supports insertion, deletion, and random element retrieval, all in constant time on average. You'll need to handle edge cases carefully to achieve O(1) complexity.

ArraysArraysDynamic Programming

Remove Colored Pieces if Both Neighbors are the Same Color

Two players alternate removing colored pieces from a line. Determine who wins if both neighbors of a piece are the same color, and players try to maximize their moves.

StringsGreedy Algorithms

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