Machine Learning Engineer applicants have rated the interview process at SmartNews with 3 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 33.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 30 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at SmartNews overall takes an average of 53 days.
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at SmartNews (Tokyo)
Interview
HR contacted me via Linkedin. Then I took an online coding test. It uses codility. There are about two tasks, and I have to solve them in a short time.
I applied online. The process took 4 weeks. I interviewed at SmartNews
Interview
Online coding test followed by first interview round, one coding (leetcode hard) & one ML both interviewers were very professional and helpful during the whole interview, both encouraged and showed genuine interest.
Required more skilled professional with related experience.
Interview questions [1]
Question 1
Brief hands-on ML knowledge and past projects & experience?
I applied through a recruiter. The process took 2 weeks. I interviewed at SmartNews in Mar 2022
Interview
One round Online assessment
Two round Tech (1 round ML 1 round coding)
Each round will have two interviewer including one shadow.
The ML round is not professional as they directly talk to you in Chinese. The feedback is ML algorithm has bug while no coding is required..so I have nothing to comment for this round.
The Second round I didn't do well as I don't practise on coding contest for a while. They will give you some hint but better to throw the brute force solution first if you can't come out the optimal solution.
No one come from ur target team.
Interview questions [2]
Question 1
Design push system logic flow with limited budget. Solve biased problem for this.