Two rounds took place. first round was to solve 2 hackerrank question easy and medium. Final round was to solve different Machine Learning related question. It was simple if you know the basics of Machine Learning
I applied online. The process took 2 weeks. I interviewed at Lytx (San Diego, CA) in Nov 2019
Interview
Phone Screen by Hr and Coding Challenge Hacker Rank. The recruiter was nice, i applied online and got an email to set up coil within a week of applying. The hackerrank challenge is very standard but I didnt pass that.
Interview questions [2]
Question 1
HR screen basically resume interview and they ask you about your specific machine learning experiences.
I applied in-person. The process took 2 weeks. I interviewed at Lytx (San Diego, CA) in Nov 2019
Interview
Pretty easy overall. There was an online coding challenge with basic Python questions, followed by a 30-minute phone screen, where the discussion was mainly about my projects and an on-site interview with some ML questions. The interview process was smooth and didn't take long.
Interview questions [1]
Question 1
Bias-variance tradeoff, when is accuracy not a good metric for model evaluation, etc.
Machine Learning applicants have rated the interview process at Lytx with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 70.2% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning roles take an average of 14 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Lytx overall takes an average of 22 days.
Common stages of the interview process at Lytx as a Machine Learning according to 3 Glassdoor interviews include:
Phone interview: 33%
Presentation: 33%
IQ intelligence test: 17%
Drug test: 17%
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