A fast-moving culture promotes rapid development and experimentation, and you can propose and execute end-to-end projects with minimal red tape.
The rapid deployment of projects leads to a lack of overall engineering rigor and mentorship. Lots of ML knowledge can be half-baked, and results are not understood well.
4 rounds in total: * 1 round with HR (15-30 minutes) * 2 rounds of tech interview (each 1 hour with medium-hard LC, ML questions, system design) * 1 final round (behavioral questions, about 1 hour)
They first come to ask some projects on CV. Then, they move to a Linked List question on LeetCode, followed by something related to ML and statistics. Here is the first round.
The interview will last 1.5 hours. It will consist of 30 minutes for LeetCode dynamic programming coding questions and one hour for technical questions based on my resume. The interviewer delved deep into any machine learning skills I had.
4 rounds in total: * 1 round with HR (15-30 minutes) * 2 rounds of tech interview (each 1 hour with medium-hard LC, ML questions, system design) * 1 final round (behavioral questions, about 1 hour)
They first come to ask some projects on CV. Then, they move to a Linked List question on LeetCode, followed by something related to ML and statistics. Here is the first round.
The interview will last 1.5 hours. It will consist of 30 minutes for LeetCode dynamic programming coding questions and one hour for technical questions based on my resume. The interviewer delved deep into any machine learning skills I had.