Machine Learning Engineer Interview Experience - Toronto, Canada
Process
Applied online for new grad recruiting.
The process involved a 30-minute phone interview, followed by a full day on-site at their Markham office.
Interview experiences can vary between groups. Some interviewers are more helpful than others, but overall, the questions are pretty easy.
Questions
How to efficiently count the number of 1 bits in a 32-bit number.
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Interview Statistics
The following metrics were computed from 9 interview experiences for the Qualcomm Machine Learning Engineer role in Toronto, Ontario.
Success Rate
Qualcomm's interview process for their Machine Learning Engineer roles in Toronto, Ontario is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Qualcomm's Machine Learning Engineer interview process in Toronto, Ontario.
Qualcomm Work Experiences
- 2.0Great Pay, Useless WorkMachine Learning Engineer • Current EmployeeSan Diego, California, United StatesFebruary 15, 2024Pros: Good pay for ML engineers.Cons: - Work begins with no clear requirement or planning. - Because of point 2, it's usually found out later that we were working on something useless. - A lot of demo tasks get disposed of afterward; codebases are messy.
- 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.
- 5.0Passionate, Flexible, Feels Like HomeMachine Learning Engineer • Current EmployeeFebruary 6, 2023Pros: - Good food. - Everyone's passionate and nice. - Doesn't feel like work. - Flexible.Cons: I don't seem to have any issues yet.
Qualcomm Interview Questions
