Machine Learning Scientist applicants have rated the interview process at Multiverse Computing with 2.5 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 87.1% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Scientist roles take an average of 7 days to get hired, when considering 2 user submitted interviews for this role. To compare, the hiring process at Multiverse Computing overall takes an average of 18 days.
Common stages of the interview process at Multiverse Computing as a Machine Learning Scientist according to 2 Glassdoor interviews include:
Background check: 20%
Group panel interview: 20%
Phone interview: 20%
Other: 20%
Skills test: 20%
Here are the most commonly searched roles for interview reports -
I applied online. I interviewed at Multiverse Computing
Interview
The interview process went very smooth which included 3 stages:
- 1st HR Interview about background and profile.
- 2nd technical assessment: the test includes 3 different levels of difficulties.
- Final technical interview with Hiring manager, and two senior ML scientist.
Interview questions [1]
Question 1
The questions differ from one position to another depending on the job needs, this is a general idea about what I got asked about:
- Questions about LLM, Model compression techniques.
- Behavioral questions: Work within the team, structure of work..
- Questions about the background.
I applied online. The process took 1 week. I interviewed at Multiverse Computing
Interview
- A pre-screening interview
- An automatic programming exercise - Basic Python programming skills, machine learning programming in popular scientific libraries
- A technical interview - Questions about machine learning, including ML engineering
Interview questions [1]
Question 1
Different types of parallelization used during training of ML models