Superhuman Machine Learning Engineer Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 10 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Superhuman.
Superhuman
Machine Learning Engineer Intern
Intern Average Positive experience No offer 4 rounds
Interview process
Recruiter call Take home Phone screen Onsite
Interview formats
Coding Technical Behavioral
I sent in my application in late October and got the online assessment in mid-November. After finishing up the coding and phone interviews, which involved about 4 LeetCode-style problems covering string manipulation and combinatorics, I had my final round interview in February. That last interview was really focused on my resume experiences – asking about likes, dislikes, major accomplishments, and hurdles I've faced. They also asked follow-up questions about my career aspirations, my thoughts on the product, and I got to ask my own questions. It felt like a pretty thorough and thoughtful process.
Confirmed questions7 questions
- Tell me about what you liked most.
- Tell me about what you liked least.
- What would you say is your biggest achievement?
Superhuman
Machine Learning Engineer
Mid Average Positive experience Decline offer 4 rounds
Interview process
Recruiter call Technical screen Onsite Presentation
Interview formats
Technical Coding Behavioral Presentation
A recruiter from a career fair reached out to me. After that, I went through 2 phone screens. Then, there were 4-5 virtual onsite rounds. These rounds covered ML coding, technical depth, behavioral aspects, and a research presentation. The interview experience with Grammarly was excellent. The interviewers were friendly, responsive, and knowledgeable. The rounds felt very relevant to the role. A special shout-out to Callum Cobb, my recruiter, who was incredibly helpful, responsive, and considerate. Callum went the extra mile, arranging additional conversations with Grammarly employees to provide insights into the culture and team, aiding my decision-making process. Callum was consistently enthusiastic and genuinely seemed to have my best interests in mind. Kudos to Callum and the recruiting team for a great interview experience!
Confirmed questions1 question
- ML coding questions assessing practical skills and past research presentation on work in the field.
Superhuman
Machine Learning Engineer
Entry Easy Negative experience No offer 1 round
Interview process
Technical screen
Interview formats
Technical Coding
It was an easy coding and ML engineer question round. It seemed to go okay, but Gramarly wasn't serious about hiring and stopped the process without any feedback. The questions were standard ML theory and LeetCode style.
Confirmed questions1 question
- Can you tell me about a past ML project you worked on?
Superhuman Machine Learning Engineer Interview Questions
Quoted word for word from Superhuman interview reports.
“What feedback do you have about the product?”
Read reports →“Tell me about what you liked least.”
Read reports →“Can you tell me your availability for an in-person interview?”
Read reports →“Tell me about what you liked most.”
Read reports →“What would you say is your biggest achievement?”
Read report →“Can you tell me about a time you worked with a stack that had non-continuous characters?”
Read report →“Could you provide a research presentation detailing your past projects?”
Read report →“What is your area of expertise?”
Read report →“Following up on that, can you discuss your career goals?”
Read report →Formats, difficulty and experience
Across all 10 Superhuman interview reports.