Machine Learning Engineer applicants have rated the interview process at Cohere Health with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 38% positive. To compare, the company-average is 49.6% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 45 days to get hired, when considering 8 user submitted interviews for this role. To compare, the hiring process at Cohere Health overall takes an average of 22 days.
Common stages of the interview process at Cohere Health as a Machine Learning Engineer according to 8 Glassdoor interviews include:
Phone interview: 20%
One on one interview: 20%
Group panel interview: 15%
Presentation: 15%
IQ intelligence test: 10%
Skills test: 10%
Background check: 5%
Personality test: 5%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at Cohere Health
Interview
Initial phone screening, coding screening, problem based technical interview, then a conversation with senior management.
Coding portion isn't too hard, but you will have to have an okay conceptual grasp on traditional ML models and more modern NN approaches.
Technical interview was problem based. They introduced a problem, you have to provide a high level solution. They asked some model design questions, stuff about data validation, performance monitoring, etc.
Interview questions [1]
Question 1
How would you improve this model implementation? (i.e. to improve scalability, model performance, supporting different/more complex inputs)
Coding exercise, case study, executive interview, personality assessment, and culture fit. It was a very long process and the recruiter kept ghosting or stringing me along for weeks at a time, which was a major red flag.
Interview questions [1]
Question 1
How would you design a system to parse medical documents and gain insight from it?
Asked to attempt assessment with 3 coding questions . The assessment was medium difficulty but can attempt if we have good knowledge on NLP, ML.waiting for next process of interview