Process
First, the recruiter would discuss some information about the intern. Then, they would ask about your experience with current projects or publications. The recruiter would continue to ask for details based on your answers.
Questions
Could you talk about your current projects or publications in detail?
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Interview Statistics
The following metrics were computed from 6 interview experiences for the Qualcomm Machine Learning Engineer role in United States.
Success Rate
0%
Pass Rate
Qualcomm's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive17%
Neutral67%
Negative17%
Candidates reported having mixed feelings for Qualcomm's Machine Learning Engineer interview process in United States.
Qualcomm Work Experiences
5.0
It's my first job, and a great place to work.
I've been working here since July 2019.
I've worked in the 5G I&T and MLG teams
Machine Learning Engineer • Current Employee
Hyderābād, Telangana, India
January 10, 2021
Pros: Good corporate culture, good parties, great perks, an encouraging atmosphere, and a good office.
Cons: Sometimes work becomes daunting. You might need to work on weekend support, but it all depends on the team and collective workload.
5.0
Great work-life balance and development
Machine Learning Engineer • Former Employee
October 2, 2022
Pros: 1. Work-life balance
2. Comprehensive benefits
3. The company's recent development is impressive.
Cons: 1. Slightly lower salary compared with others.
2. No free food, but it's okay.
4.0
Great work-life balance
Machine Learning Engineer • Current Employee
Bengaluru, Karnataka, India
July 8, 2022
Pros: Freedom to research on your topics of interest.
Full ownership of your work. The managers will only comment or suggest modifications. You'll feel as if this is YOUR project you're working on.
Cons: Somewhat lagging in terms of compensation.
- 5.0It's my first job, and a great place to work. I've been working here since July 2019. I've worked in the 5G I&T and MLG teamsMachine Learning Engineer • Current EmployeeHyderābād, Telangana, IndiaJanuary 10, 2021Pros: Good corporate culture, good parties, great perks, an encouraging atmosphere, and a good office.Cons: Sometimes work becomes daunting. You might need to work on weekend support, but it all depends on the team and collective workload.
- 5.0Great work-life balance and developmentMachine Learning Engineer • Former EmployeeOctober 2, 2022Pros: 1. Work-life balance 2. Comprehensive benefits 3. The company's recent development is impressive.Cons: 1. Slightly lower salary compared with others. 2. No free food, but it's okay.
- 4.0Great work-life balanceMachine Learning Engineer • Current EmployeeBengaluru, Karnataka, IndiaJuly 8, 2022Pros: Freedom to research on your topics of interest. Full ownership of your work. The managers will only comment or suggest modifications. You'll feel as if this is YOUR project you're working on.Cons: Somewhat lagging in terms of compensation.
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