Candidates applying for Machine Learning Engineer roles take an average of 150 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Certivity overall takes an average of 82 days.
Common stages of the interview process at Certivity as a Machine Learning Engineer according to 1 Glassdoor interviews include:
I applied online. The process took 3 weeks. I interviewed at Certivity
Interview
I had a positive interview experience. I applied online, the process took about three weeks and it began with an initial interview with the HR manager, who provided a clear explanation of the role and the upcoming interview steps and also asked questions about my background and experiences. Next, I completed a take-home test, and after submitting it, I had a second interview with the ML team lead where I explained my approach, followed by a simple coding test. The third step was an interview with the CEO, where we discussed the role, the company, and my questions. Throughout the process, communication was smooth, and each step was well-explained.
Interview questions [1]
Question 1
Take-home test: Developing an approach to create hierarchical structure from a given set of related texts.
I applied online. The process took 5 months. I interviewed at Certivity (Munich, Bavaria)
Interview
The process has five steps:
1. 30 minutes call with HR
2. take home test (~4 hours)
3. one hour long technical interview
4. one hour long team interview
5. final discussion (never happened)
Interview questions [1]
Question 1
Build a system, which can arrange a given list of paragraphs into a hierarchy.