Machine Learning Engineer applicants have rated the interview process at Ignota Labs 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 25% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 30 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Ignota Labs overall takes an average of 26 days.
Common stages of the interview process at Ignota Labs as a Machine Learning Engineer according to 1 Glassdoor interviews include:
I applied through other source. The process took 4 weeks. I interviewed at Ignota Labs (Cambridge, England) in Sept 2022
Interview
The interview process included a chat with the founding team and a technical assessment. The team were very friendly and provided interesting discussions about the company and its mission. The technical assessment began with the presentation of a previous project, a discussion around some of the work on my GitHub profile, and then some more questions about applying Machine Learning to Chem/Bioinformatics tasks.
Overall a good experience, and a very positive environment, where I was encouraged to ask questions and collaborate with the interviewers during the process.
Interview questions [1]
Question 1
Tell me about a previous project you are particularly proud of, and focus on what was the biggest challenge you faced and how you overcame it.