Machine Learning Engineer applicants have rated the interview process at Algomo 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 100% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 21 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Algomo overall takes an average of 16 days.
Common stages of the interview process at Algomo as a Machine Learning Engineer according to 1 Glassdoor interviews include:
One on one interview: 50%
Skills test: 50%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Algomo
Interview
1. Interview with the founder, where I could ask more questions regarding the company and the role (there is a notion page already explaining a lot about the company, which you should read beforehand)
2. Take home technical challenge. Wasn’t given a deadline but completed that in not much more then 1 week
3. Discussion of the solution for the technical challenge
4. Design interview
5. Offer discussion
Overall it was a smooth process with interesting technical challenges and discussions surrounding the company. In the end the timings didn’t align for me and I went on to take a different project at another company.
I applied online. The process took 3 weeks. I interviewed at Algomo (London, England) in May 2023
Interview
1. Initial call with CEO. 2. Take home test, the content was very relevant to the role. 3. Technical Interview. Involved a review of the test, then some questions about ML. Both the CEO and the team member for the technical interview were good to talk to. Everything I was questioned about was very relevant. Emails about the interview process were from CEO directly, which was good - gave me a better idea of what he was like as a person which is important given its a small company.
Interview questions [1]
Question 1
I won't be sharing details for what was asked. But generally it was questions centring around production-ising and scaling a chatbot