Machine Learning Engineer Interview Experience - Remote
September 1, 2022
Positive ExperienceGot Offer
Process
There are two interviews: one technical and one with the manager. Both are very easy.
The technical interview asks about designing an image classifier. You will also need to write a PyTorch image classifier and justify your design choices.
Questions
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Matrix multiplication
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Write a PyTorch image classifier and justify the design choice.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Adobe Machine Learning Engineer role in Remote.
Success Rate
100%
Pass Rate
Adobe's interview process for their Machine Learning Engineer roles in Remote is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Adobe's Machine Learning Engineer interview process in Remote.
Adobe Work Experiences
5.0
Great Pay, Poor Tech
Machine Learning Engineer • Current Employee
San Jose, California, United States
March 3, 2025
Pros: Good pay, good work-life balance, annual shutdown twice a year.
Cons: Tech stack outdated
Management weak
5.0
Positive Culture, Small Team
Machine Learning Engineer • Former Employee
San Jose, California, United States
September 1, 2022
Pros: Good work-life balance, friendly managers, and atmosphere.
Cons: The group is relatively small.
4.0
Work-life balance
Machine Learning Engineer • Current Employee
Bengaluru, Karnataka, India
June 24, 2025
Pros: Work-life balance is pretty good here. There isn't much stress, and the quality of work is good.
Cons: Sometimes the projects are not that great.
- 5.0Great Pay, Poor TechMachine Learning Engineer • Current EmployeeSan Jose, California, United StatesMarch 3, 2025Pros: Good pay, good work-life balance, annual shutdown twice a year.Cons: Tech stack outdated Management weak
- 5.0Positive Culture, Small TeamMachine Learning Engineer • Former EmployeeSan Jose, California, United StatesSeptember 1, 2022Pros: Good work-life balance, friendly managers, and atmosphere.Cons: The group is relatively small.
- 4.0Work-life balanceMachine Learning Engineer • Current EmployeeBengaluru, Karnataka, IndiaJune 24, 2025Pros: Work-life balance is pretty good here. There isn't much stress, and the quality of work is good.Cons: Sometimes the projects are not that great.
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