Machine Learning Engineer applicants have rated the interview process at Xperi with 4 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 65.2% 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 1 user submitted interviews for this role. To compare, the hiring process at Xperi overall takes an average of 29 days.
Common stages of the interview process at Xperi as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Group panel interview: 50%
Skills test: 50%
Here are the most commonly searched roles for interview reports -
General question on analysing loss curves: assessing overfitting, underfitting, and proposing strategies to cope with them. Questions on CNNs, explaining concepts such as stride, dilation, etc. Knowledge of PyTorch and background.
Interview questions [1]
Question 1
Analysis of loss curves to assess underfitting/overfitting.
I applied online. The process took 2 weeks. I interviewed at Xperi (New York, NY) in Jul 2022
Interview
Nice people. The interview last about 2h and includes questions about general programming and data science. The difficulty is above average. The interview goes as a discussion, which is really nice because the discussion is relaxed.