Machine Learning Engineer Interview Experience - Bengaluru, India
April 1, 2025
Positive ExperienceNo Offer
Process
It was good. First, they asked about the project. Then, some DSA concepts, then some microcontrollers, and all about pipelining and C++ concepts.
Then, they asked me to tell them about myself and all the stuff.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Intel Machine Learning Engineer role in Bengaluru, Karnataka.
Success Rate
0%
Pass Rate
Intel's interview process for their Machine Learning Engineer roles in Bengaluru, Karnataka is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Intel's Machine Learning Engineer interview process in Bengaluru, Karnataka.
Intel Work Experiences
5.0
Great Manager, Team Dependent
Machine Learning Engineer • Former Employee
Bengaluru, Karnataka, India
March 2, 2020
Pros: Good working environment. My manager was very cooperative and understanding.
Cons: It depends on your team.
5.0
Free to explore research direction
Machine Learning Engineer • Former Employee
Bengaluru, Karnataka, India
July 20, 2025
Pros: I worked as an MLE in graph neural networks, which excites me. You can do your research to come up with the best technology.
Cons: Frequent organizational change was an issue due to Intel's situation.
4.0
Opportunities to learn anything and everything under the sun
Machine Learning Engineer • Current Employee
Folsom, California, United States
April 16, 2021
Pros: Teams are very flexible with you wanting to support other teams in order to learn.
Work-life balance is easily accessible.
Cons: Compensation is low compared to the rest of the industry.
The standard for software is not at the level of newer tech companies.
- 5.0Great Manager, Team DependentMachine Learning Engineer • Former EmployeeBengaluru, Karnataka, IndiaMarch 2, 2020Pros: Good working environment. My manager was very cooperative and understanding.Cons: It depends on your team.
- 5.0Free to explore research directionMachine Learning Engineer • Former EmployeeBengaluru, Karnataka, IndiaJuly 20, 2025Pros: I worked as an MLE in graph neural networks, which excites me. You can do your research to come up with the best technology.Cons: Frequent organizational change was an issue due to Intel's situation.
- 4.0Opportunities to learn anything and everything under the sunMachine Learning Engineer • Current EmployeeFolsom, California, United StatesApril 16, 2021Pros: Teams are very flexible with you wanting to support other teams in order to learn. Work-life balance is easily accessible.Cons: Compensation is low compared to the rest of the industry. The standard for software is not at the level of newer tech companies.
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