Machine Learning Intern Interview Experience - Washington, District of Columbia
April 1, 2023
Neutral ExperienceNo Offer
Process
The interview was quite technical. While I did not get the role, I'd recommend people brush up their technical skills on the basics of Machine Learning and what they have mentioned in their resume.
Questions
Talk about your past projects relating to Machine Learning.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Comcast Machine Learning Intern role in Washington, District of Columbia.
Success Rate
0%
Pass Rate
Comcast's interview process for their Machine Learning Intern roles in Washington, District of Columbia is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive0%
Neutral100%
Negative0%
Candidates reported having mixed feelings for Comcast's Machine Learning Intern interview process in Washington, District of Columbia.
Comcast Work Experiences
4.0
Great company, moves a little slow
SRE/DevOps Engineer • Current Employee
Washington, District of Columbia, United States
October 22, 2025
Pros: Good benefits and work culture
Cons: Depending on the team, it can get stressful.
3.0
Good work-life balance, average talent
Machine Learning Engineer • Current Employee
Washington, District of Columbia, United States
October 2, 2025
Pros: Good work-life balance, friendly atmosphere.
Cons: Average talent, no real AI research work.
5.0
Great place to work
Software Engineer • Current Employee
Washington, District of Columbia, United States
January 14, 2025
Pros: Leadership is great and supportive.
Cons: Work gets monotonous after a while.
- 4.0Great company, moves a little slowSRE/DevOps Engineer • Current EmployeeWashington, District of Columbia, United StatesOctober 22, 2025Pros: Good benefits and work cultureCons: Depending on the team, it can get stressful.
- 3.0Good work-life balance, average talentMachine Learning Engineer • Current EmployeeWashington, District of Columbia, United StatesOctober 2, 2025Pros: Good work-life balance, friendly atmosphere.Cons: Average talent, no real AI research work.
- 5.0Great place to workSoftware Engineer • Current EmployeeWashington, District of Columbia, United StatesJanuary 14, 2025Pros: Leadership is great and supportive.Cons: Work gets monotonous after a while.
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