Machine Learning Software Engineer Interview Experience - Toronto, Ontario
Process
Applied on the website. The process included a 30-minute phone interview followed by a full-day onsite interview in Toronto.
The questions were relatively easy. The hardest question was a depth-first search.
The team there seems to work on the state of the art, and the project sounds pretty interesting.
Questions
How to efficiently find the number of 1s in the binary representation of a 32-bit number.
Was this helpful?
Interview Statistics
The following metrics were computed from 1 interview experience for the Qualcomm Machine Learning Software Engineer role in Toronto, Ontario.
Success Rate
Qualcomm's interview process for their Machine Learning Software Engineer roles in Toronto, Ontario is incredibly easy as the vast majority of engineers get an offer after going through it.
Experience Rating
Candidates reported having mixed feelings for Qualcomm's Machine Learning Software Engineer interview process in Toronto, Ontario.
Qualcomm Work Experiences
- 4.0Learn Lots, Little ImpactMachine Learning Software Engineer • Current EmployeeMarkham, Ontario, CanadaOctober 5, 2025Pros: You will learn a lot.Cons: Your work may not have an impact.
- 5.0Good company for new gradsMachine Learning Software Engineer • Current EmployeeSan Diego, California, United StatesApril 21, 2021Pros: Good work-life balance. Good learning opportunity. Great support system for new grads and diversity.Cons: There are some office politics that were quite apparent, at least in my department.
- 4.0Inflexible but good cultureDSP Engineer • Current EmployeeToronto, Ontario, CanadaMay 4, 2025Pros: Great culture and low turnoverCons: Senior management forcing people into the office + inaccessible office.
Qualcomm Interview Questions
