Machine Learning Engineer Interview Experience - United States
Process
I had a very good interview experience at Grammarly. The interview rounds were relevant to the kind of profile I was interviewing for, and the interviewers were pleasant and knowledgeable in the field.
A highlight for me was my candidate experience with my recruiter, Callum Cobb. Callum was the most responsive, considerate, and helpful recruiter I have worked with in my career. I truly felt he had my best interests at heart as well, which is not the case in many other interview experiences I have had.
Grammarly's entire interview experience was excellent, so kudos to their recruiting team!
Questions
Research presentation on my past projects.
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Interview Statistics
The following metrics were computed from 7 interview experiences for the Grammarly Machine Learning Engineer role in United States.
Success Rate
Grammarly's interview process for their Machine Learning Engineer roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Grammarly's Machine Learning Engineer interview process in United States.
Grammarly Work Experiences
- 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.
- 5.0Talented Team, Remote ComfortMachine Learning Engineer • Current EmployeeSan Francisco, California, United StatesAugust 28, 2024Pros: Good and talented colleagues. Remote/Hybrid.Cons: None I can think of.
- 5.0Great place to workSowtware Engineer • Current EmployeeBerlin, GermanyOctober 26, 2025Pros: - People are smart and comfortable to work with. - Salary is competitive. - Food is tasty.Cons: I do not have any cons to share.
Grammarly Interview Questions
