Machine Learning Engineer applicants have rated the interview process at TuSimple with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 57% positive. To compare, the company-average is 64.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 17 days to get hired, when considering 7 user submitted interviews for this role. To compare, the hiring process at TuSimple overall takes an average of 25 days.
Common stages of the interview process at TuSimple as a Machine Learning Engineer according to 7 Glassdoor interviews include:
Phone interview: 57%
Group panel interview: 14%
One on one interview: 14%
Skills test: 14%
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I applied online. The process took 4 weeks. I interviewed at TuSimple in Jan 2022
Interview
Modified leetcode questions with application on autonomous driving and basic machine learning questions to handle the data. A little bit difficult for me. The interview process was cool. Not sure about company culture, etc.
The whole process took about a month. I was working with Jeff and Dustin during the process. They are very nice and helpful. There are three interviews for the VO.
1. A coding interview with an SWE.
2. A project interview on past experiences and projects.
3. A final interview with a hiring manager talking about machine learning and deep learning questions related to their work.
Interview questions [1]
Question 1
The coding interview is a leetcode hard question conducted on HackerRank.
General machine learning and deep learning questions were asked. One specific question was about autonomous driving.
a brief self intro which take about 5 minutes
LeetCode Hard Problem Coding , BFS + Union Find Set, the problem is hard and coding takes up to 45 minutes.
Simple Q&A.
Behavorial Question: why you want to apply for this position.
Interview questions [1]
Question 1
Leecode coding problem: like Number of Islands but harder.
Behavorial Question: why you want to apply for this position.