Machine Learning Intern Interview Experience - United States
December 1, 2019
Positive ExperienceNo Offer
Process
No coding interview.
Two rounds of research interviews back-to-back, 45 minutes each. They go into detail about projects you did before.
I interviewed in December and heard back about one to two months later.
The recruiters are nice, and the interviewers are friendly.
Questions
details about your research project
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Interview Statistics
The following metrics were computed from 2 interview experiences for the Google Machine Learning Intern role in United States.
Success Rate
0%
Pass Rate
Google's interview process for their Machine Learning Intern roles in the United States is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive50%
Neutral50%
Negative0%
Candidates reported having very good feelings for Google's Machine Learning Intern interview process in United States.
Google Work Experiences
4.0
Machine Learning Intern
Machine Learning Intern • Former Employee
Bengaluru, Karnataka, India
November 12, 2024
Pros: It's good working there.
Cons: There's no downside. It's difficult to get in, or else it's wonderful to work.
5.0
Happy to work for Google
Machine Learning Intern • Former Employee
November 21, 2022
Pros: Google is a great company. I was lucky.
Cons: Built an end-to-end machine learning model pipeline, from data extracting, preprocessing, feature engineering, and label defining to modeling, to predict user actions from their wearing device. Optimized the modeling pipeline with multiple methodologies, including Bayesian optimization and model ensemble.
4.0
Pioneering Tech, Ad Dependence
Sooftware Engineer • Current Employee
America, United States
September 3, 2025
Pros: Innovation Leader – Google consistently pioneers cutting-edge technologies in AI, cloud computing, search, and advertising.
Strong Brand & Market Share – Its dominance in search (over 90% market share globally) gives it unmatched visibility and influence.
Cons: Dependence on Ads – Over 75% of revenue still comes from advertising, making Google vulnerable to market shifts and regulatory changes.
Privacy Concerns – Ongoing criticism and scrutiny over data collection and user privacy have damaged its public trust in some regions.
- 4.0Machine Learning InternMachine Learning Intern • Former EmployeeBengaluru, Karnataka, IndiaNovember 12, 2024Pros: It's good working there.Cons: There's no downside. It's difficult to get in, or else it's wonderful to work.
- 5.0Happy to work for GoogleMachine Learning Intern • Former EmployeeNovember 21, 2022Pros: Google is a great company. I was lucky.Cons: Built an end-to-end machine learning model pipeline, from data extracting, preprocessing, feature engineering, and label defining to modeling, to predict user actions from their wearing device. Optimized the modeling pipeline with multiple methodologies, including Bayesian optimization and model ensemble.
- 4.0Pioneering Tech, Ad DependenceSooftware Engineer • Current EmployeeAmerica, United StatesSeptember 3, 2025Pros: Innovation Leader – Google consistently pioneers cutting-edge technologies in AI, cloud computing, search, and advertising. Strong Brand & Market Share – Its dominance in search (over 90% market share globally) gives it unmatched visibility and influence.Cons: Dependence on Ads – Over 75% of revenue still comes from advertising, making Google vulnerable to market shifts and regulatory changes. Privacy Concerns – Ongoing criticism and scrutiny over data collection and user privacy have damaged its public trust in some regions.
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