Machine Learning Engineer Interview Experience - Toronto, Canada
Process
Telephone and screen interview for 1 hour.
One simple question about your resume, then begin technical questions. The interviewer was very friendly and helpful. In case you got stuck, some hints will be provided.
Questions
Algorithms and Data Structures: Typical LeetCode/HackerRank questions.
You will use an online coding tool to do the actual coding and explain your thoughts.
- Balanced Brackets: Determine if a string of brackets has a balanced structure.
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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.
- 5.0Passionate, 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.
- 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.
Qualcomm Interview Questions
