Process
I applied online.
The interview begins with the interviewer introducing the position and the company. Then the interviewee gives a self-introduction while the interviewer browses the resume. After that, many related technical questions are asked until the end of the interview.
Questions
How to handle exploding gradients and vanishing gradient
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Interview Statistics
The following metrics were computed from 1 interview experience for the Qualcomm Machine Learning Intern role.
Success Rate
0%
Pass Rate
Qualcomm's interview process for their Machine Learning Intern roles is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Qualcomm's Machine Learning Intern interview process.
Qualcomm Work Experiences
4.0
Smart Team, Red Tape
Machine Learning Intern • Former Employee
New York, New York, United States
April 1, 2024
Pros: Very smart people, a relaxed and fun environment.
Cons: Huge machine, lots of red tape, and not great inter-team communication.
5.0
Interesting work, great team!
Machine Learning Intern • Current Employee
San Diego, California, United States
July 24, 2023
Pros: Flexible schedule, amazing team with good feedback.
Cons: We need a little more start-up like energy.
5.0
Great Team, Few Silos
Machine Learning Intern • Former Employee
San Diego, California, United States
November 12, 2019
Pros: Learned a lot! The team has a strong ML background – very smart and intelligent people. Everyone was absurdly nice and relaxed. Pretty good pay, interesting work, a private office, ideas taken seriously and integrated into meetings, food at AZ is good, a free gym pass and parking, housing is provided and great, and cool intern activities.
Got to observe some minor inter-team drama that was exciting.
Attending the company-sponsored meetings was a cool experience.
Cons: Teams are segregated. My team comprised mostly of ML/DS guys. There can be tighter integration with chip guys. There could have been a little notification about the project topic so I can prepare before the summer. Qualcomm IP hoarder – hard to publish results.
- 4.0Smart Team, Red TapeMachine Learning Intern • Former EmployeeNew York, New York, United StatesApril 1, 2024Pros: Very smart people, a relaxed and fun environment.Cons: Huge machine, lots of red tape, and not great inter-team communication.
- 5.0Interesting work, great team!Machine Learning Intern • Current EmployeeSan Diego, California, United StatesJuly 24, 2023Pros: Flexible schedule, amazing team with good feedback.Cons: We need a little more start-up like energy.
- 5.0Great Team, Few SilosMachine Learning Intern • Former EmployeeSan Diego, California, United StatesNovember 12, 2019Pros: Learned a lot! The team has a strong ML background – very smart and intelligent people. Everyone was absurdly nice and relaxed. Pretty good pay, interesting work, a private office, ideas taken seriously and integrated into meetings, food at AZ is good, a free gym pass and parking, housing is provided and great, and cool intern activities. Got to observe some minor inter-team drama that was exciting. Attending the company-sponsored meetings was a cool experience.Cons: Teams are segregated. My team comprised mostly of ML/DS guys. There can be tighter integration with chip guys. There could have been a little notification about the project topic so I can prepare before the summer. Qualcomm IP hoarder – hard to publish results.
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