Machine Learning Engineer applicants have rated the interview process at Oura 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 82.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 7 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Oura overall takes an average of 34 days.
Common stages of the interview process at Oura as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Phone interview: 50%
Skills test: 50%
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The HR and manager interviews were straightforward. The technical stage was a Jupyter notebook with several data analysis tasks. Individually, the tasks weren’t particularly complex, but the time allocated was quite tight given the number of questions.
Interview questions [1]
Question 1
Are the differences between the two sets of data statistically significant?
I applied online. The process took 1 week. I interviewed at Oura (Seattle, WA) in Oct 2024
Interview
The first round was a recruiter screen where we discussed the role and my career goals. I got a call back where I got a take-home assessment with a variety of python-based data processing and cleanup tasks, followed by some data visualization, feature design, and modeling tasks. The prompts were pretty open ended, but had some skeleton code, and it was generally straightforward to understand what they wanted.
Interview questions [1]
Question 1
They asked me to assess the separability of some accelerometer data for use in an activity detection algorithm