Machine Learning Engineer applicants have rated the interview process at DoorDash with 2.9 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 35.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 14 days to get hired, when considering 8 user submitted interviews for this role. To compare, the hiring process at DoorDash overall takes an average of 24 days.
Common stages of the interview process at DoorDash as a Machine Learning Engineer according to 8 Glassdoor interviews include:
One on one interview: 60%
Skills test: 40%
Here are the most commonly searched roles for interview reports -
Typical for tech loop but with thoughtful questions; ML can have flavors depending on focus; need to be mindful of product; helps to learn about the business ahead of time;
HR contacted regarding the interview. The interview was about one hour with an engineer. There were two medium/hard coding problems. The system message said that there could be at most 3 weeks of process time before you hear back, but I received no notifications. The HR or any interviewer never responded to any emails or inquiries after the interview.
Interview questions [1]
Question 1
Algorithm questions packaged in a delivery scenario.
easy to schedule and professional. the interviewer was kind and patient, had a good experience. unfortunately failed the interview. overall good good experince. would recommend. had a good experience. had a good experience ,.
Interview questions [1]
Question 1
deep discussion on project, easy to schedule and professional. the interviewer was kind and patient, had a good experience