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ASAPP interviews FAQs
Machine Learning Engineer applicants have rated the interview process at ASAPP with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 50% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 2 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at ASAPP overall takes an average of 19 days.
Common stages of the interview process at ASAPP as a Machine Learning Engineer according to 2 Glassdoor interviews include:
One on one interview: 20%
Group panel interview: 20%
Background check: 20%
Phone interview: 20%
Other: 20%
Here are the most commonly searched roles for interview reports -
I applied through college or university. The process took 2 days. I interviewed at ASAPP in Sep 2023
Interview
On campus Interview experience 1st round - Hackathon (30 hours, 3 problem statements were provided, can participate in a Team of 3-4) 2nd round - Technical round (based on hackathon shortlists) 3rd round - HR Round
Interview questions [1]
Question 1
Real life scenarios based on the current trends and situations that align with the company's requirements will be the hackathon problem statement. Then a Technical round for the best performers of the hackathon, comprised of code pair round.
The interview process started out with a screening, which I did in person over coffee, just to learn a bit about the company and introduce myself. The next stage was a challenge project covering an area related to the position I was applying for. This project was actually a lot of fun -- and did prove to be a good indicator of whether I would enjoy the type of work in the position. The request was to spend 8-10 hours; it would've been possible to spend a lot more, but it was possible to produce something successful in the suggested time-frame. It was primarily coding, with some questions to answer about my approach and possible directions.
After a phone call reviewing my challenge project, I went for an in-person interview. Since they had a coding sample from my challenge project, there was no Google-style whiteboard questions, which made it feel much more relaxed. One interview was technical, aimed at diving into my understanding of the sorts of problems they work on (and I have worked on in the past). There were additional non-technical interviews for behavioral and team fit. In addition, lunch was provided.
Later on I had a follow-up phone call to cover some other questions, and finally an in-person meeting with the founder & CEO which helped me to better understand the level of risk I'd be facing taking a job at this startup.