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 71.9% 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:
Phone interview: 24%
One on one interview: 24%
Presentation: 18%
Skills test: 12%
Group panel interview: 12%
IQ intelligence test: 6%
Drug test: 6%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Superhuman (San Francisco, CA) in Apr 2023
Interview
The interview process was very smooth. It took about a month from the first recruiter reach-out to getting an official offer. The interviews were all very unique, less about algorithmic problem solving and more about understanding your thought process.
Interview questions [1]
Question 1
- One 75min technical screening asking simple ML theory questions and a medium algorithmic coding question. Virtual onsite - 2 interviews covering all previous jobs and asking quick questions about projects/managers/yourself - ML System Design interview - ML theory interview - Big Data Computation interview After the onsite, they asked for 4 references from previous managers and peers.
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.
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.