I was contacted by a recruiter from a career fair at an academic conference. I had two phone screens, followed by four to five onsite virtual rounds covering ML coding, technical depth, behavioral questions, and a research presentation.
Overall, I had an excellent candidate experience interviewing with Grammarly. The interviewers were friendly, responsive, and knowledgeable, and the rounds seemed very relevant to the kind of profile I was interviewing for.
A highlight of my experience was working with my recruiter, Callum Cobb, who was the most helpful, responsive, and considerate recruiter I have ever worked with. Callum went above and beyond, scheduling multiple extra conversations with Grammarly employees to help me learn about the culture and team and make my decision.
Callum was always enthusiastic and truly seemed to have my best interest at heart as well. Kudos to Callum and the recruiting team for a wonderful interviewing experience!
ML coding questions, testing hands-on experience, and a research presentation covering past work in the field.
The following metrics were computed from 2 interview experiences for the Grammarly Machine Learning Engineer role in San Francisco, California.
Grammarly's interview process for their Machine Learning Engineer roles in San Francisco, California is fairly selective, failing a large portion of engineers who go through it.
Candidates reported having very good feelings for Grammarly's Machine Learning Engineer interview process in San Francisco, California.