Machine Learning Engineer Interview Experience - Canada
Process
The interview lasted three hours.
The first two hours were dedicated to live coding, using either C++ or Python.
- The first coding problem was easy, and we had time to optimize the code.
- The second problem was difficult for me. I understood the task but couldn't devise an efficient solution.
They emphasized that algorithms are highly valued for this position.
The third hour was scheduled for questions about the CV, but I didn't reach that stage as I failed the second coding task.
Questions
Have you ever done low-level coding, like memory allocation?
Have you ever written ML algorithms (not using TensorFlow) yourself?
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Interview Statistics
The following metrics were computed from 14 interview experiences for the Qualcomm Machine Learning Engineer role in Canada.
Success Rate
Qualcomm's interview process for their Machine Learning Engineer roles in Canada is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Qualcomm's Machine Learning Engineer interview process in Canada.
Qualcomm Work Experiences
- 4.0Great Benefits, Work Balance TrickyMachine Learning Engineer • Current EmployeeSan Diego, California, United StatesJune 27, 2024Pros: Salary is okay, benefits are great.Cons: Poor work-life balance sometimes.
- 2.0Good Pay, Poor CommunicationMachine Learning Engineer • Current EmployeeJuly 29, 2024Pros: - Flexible work-life balance - SalaryCons: - Lack of communication - Poor documentation
- 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.
Qualcomm Interview Questions
