Machine Learning Engineer applicants have rated the interview process at Rakuten with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 44.5% 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 3 user submitted interviews for this role. To compare, the hiring process at Rakuten overall takes an average of 35 days.
Common stages of the interview process at Rakuten as a Machine Learning Engineer according to 3 Glassdoor interviews include:
Phone interview: 50%
Background check: 25%
Skills test: 25%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 4 weeks. I interviewed at Rakuten in Dec 2023
Interview
1st interview
They ask me which one I want to do, between POC and building products. Then they ask my experience on Llama and langchain and ask me technical question related to my past internship.
2nd interview
They ask me the definitionof ML engineering for me. They ask for the difference between finetuning and RAG which is related to my research and ask how I implement it. (I failed on this interview)
The interview process experience is, overall, average. There are two technical interview, and one casual interview. They mostly focus on experiences which can be applied in the position you're applying for. Catching up with recent papers seem to be important as well.
The process took 4 weeks. I interviewed at Rakuten
Interview
Basic HR questions. Phone interview that lasted 10 min we discussed the salary and the work that is currently conducted within the team. Questions were asked about my current position.