I interviewed at Superhuman (San Francisco, CA) in Oct 2024
Interview
I was contacted my a recruiter from a career fair at an academic conference. I had 2 phone screens, followed by an 4-5 onsite virtual rounds covering ML coding, technical depth, behavioral and 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 and scheduled 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!
Interview questions [1]
Question 1
ML coding questions, testing hands-on experience, research presentation covering past work in the field.
The interview process consisted of a recruiter call, tech interview, culture fit interview and final call. They were very clear with communication. The recruiting team is great and made it a very smooth experience.
I applied online. The process took 1 week. I interviewed at Superhuman in Oct 2024
Interview
* Easy coding and MLE question round
It seemingly went well, but Gramarly is not serious about hiring and discontinued with zero feedback. The questions are standard ML theory and leetcode.
Machine Learning Engineer applicants have rated the interview process at Superhuman with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 86% positive. To compare, the company-average is 72.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 22 days to get hired, when considering 7 user submitted interviews for this role. To compare, the hiring process at Superhuman overall takes an average of 31 days.
Common stages of the interview process at Superhuman as a Machine Learning Engineer according to 7 Glassdoor interviews include:
One on one interview: 24%
Phone interview: 24%
Presentation: 18%
Group panel interview: 12%
Skills test: 12%
Drug test: 6%
IQ intelligence test: 6%
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