I applied online. I interviewed at Lime in Oct 2018
Interview
I applied online and was contacted for a technical interview over the phone which was basically a coding interview. There was not any HR interviews before the technical interview. I was not selected for other round(s).
Interview questions [1]
Question 1
One standard coding question using CoderPad over the phone. (total interview time 1 hour including general questions and a coding question)
I applied online. The process took 3 weeks. I interviewed at Lime (Atlanta, GA) in Feb 2019
Interview
First an initial Phone Screen HR. Second, a call with Head of DS for an interview on problem-solving and stats + ML fundamentals. Third, a coding interview with Soft Engineer.
I applied online. The process took 3 weeks. I interviewed at Lime (San Francisco, CA) in Oct 2018
Interview
First there is a phone interview focused on coding.
After a week, I was invited to onsite interview in downtown SF. There are about five rounds, two coding, one behavior, one product, one ML/statistics.
Interview questions [1]
Question 1
(1) Given a list of points, find maximum points that lie on a straight line.
(2) Given a list of circles (center and radius) on a plane, and two lines parallel to x axis, find whether it is possible to go from x = - inf to x = + inf without crossing any circle.
Machine Learning Engineer applicants have rated the interview process at Lime with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 44.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 21 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Lime overall takes an average of 23 days.
Common stages of the interview process at Lime as a Machine Learning Engineer according to 3 Glassdoor interviews include:
IQ intelligence test: 20%
Phone interview: 20%
Drug test: 20%
Presentation: 20%
One on one interview: 20%
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