Machine Learning Engineer applicants have rated the interview process at Renishaw 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 66.7% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Renishaw as a Machine Learning Engineer according to 2 Glassdoor interviews include:
Background check: 33%
One on one interview: 33%
Skills test: 33%
Here are the most commonly searched roles for interview reports -
Technical interview for the role to work on Machine Learning and AI projects. It was a nice interview with questions being asked on your technical side of your work experience. Final HR interview was also very nice.
Interview questions [1]
Question 1
Describe Faster RCNN.
Unet architecture
Some other deep learning architectures.
Explain code for some project.
Some questions on Geometry and derivatives.
I applied online. I interviewed at Renishaw (Pune) in Jan 2022
Interview
Here two technical rounds of interview , one was on the basic concepts and second one was based on the research assignment. Later hr discussion. Overall tested knowledge and your confidence. Rest depends on person to person. Coding is very much required.
Interview questions [1]
Question 1
So many basics questions with one reserch assignment.
3 level process
First technical with basics and concepts of machine learning and deep learning,
Second assignment then interview based on it
Hr interview about joining and salary expectations
Rest depends on your interest and experience.
Interview questions [1]
Question 1
Basics of Deep Learning, activation function , some maths, optimizer , layers.