Machine Learning Engineer Intern Interview Experience - San Francisco, California
May 11, 2025
Positive ExperienceNo Offer
Process
They mainly asked string manipulation questions. It was very organized. I enjoyed speaking to the team, and the interviews went well.
At the last moment, they decided they weren't going to hire more candidates, so that was a bummer.
Questions
They asked of my availability in person.
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Interview Statistics
The following metrics were computed from 1 interview experience for the Grammarly Machine Learning Engineer Intern role in San Francisco, California.
Success Rate
0%
Pass Rate
Grammarly's interview process for their Machine Learning Engineer Intern roles in San Francisco, California is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Grammarly's Machine Learning Engineer Intern interview process in San Francisco, California.
Grammarly Work Experiences
5.0
Amazing culture, growth potential, and interesting projects
Software Engineer • Current Employee
San Francisco, California, United States
August 7, 2021
Pros: - Lots of interesting things to work on.
- Great company culture.
- Supportive environment to grow one's career.
Cons: - Slow to react. As a unicorn, we still don't have 401(k) matching.
5.0
Great place to work for MLEs with the focus on NLP/Language models
Machine Learning Engineer • Current Employee
San Francisco, California, United States
April 14, 2025
Pros: - Numerous NLP problems to solve.
- Most work is user-focused.
Cons: The company is private, so equity is not liquid.
5.0
Always doing the right thing for their employees
Engineering Manager • Current Employee
San Francisco, California, United States
August 17, 2021
Pros: They apply their values every day across all decisions, from user privacy (they don't store any raw user text data!) to doing best by their employees (listening to the feedback about remote work and applying that to develop their remote-work hybrid policy).
Cons: The company is scaling fast, and they are still finding the right level of process to put in place.
- 5.0Amazing culture, growth potential, and interesting projectsSoftware Engineer • Current EmployeeSan Francisco, California, United StatesAugust 7, 2021Pros: - Lots of interesting things to work on. - Great company culture. - Supportive environment to grow one's career.Cons: - Slow to react. As a unicorn, we still don't have 401(k) matching.
- 5.0Great place to work for MLEs with the focus on NLP/Language modelsMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesApril 14, 2025Pros: - Numerous NLP problems to solve. - Most work is user-focused.Cons: The company is private, so equity is not liquid.
- 5.0Always doing the right thing for their employeesEngineering Manager • Current EmployeeSan Francisco, California, United StatesAugust 17, 2021Pros: They apply their values every day across all decisions, from user privacy (they don't store any raw user text data!) to doing best by their employees (listening to the feedback about remote work and applying that to develop their remote-work hybrid policy).Cons: The company is scaling fast, and they are still finding the right level of process to put in place.
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