Google Machine Learning Engineer interview questions

It was good Focus on arrays, strings, hash maps, trees/graphs, recursion, dynamic programming. Many candidate guides mention these are common. Practice writing correct, efficient code with good time/space complexity; not just “it works” but “it works well”.

3 interview rounds. first one was system design, which was quite creative and fun to work through. supportive and positive interviewers, I managed to clear this round Round 2 was poorly organised. I was expecting a theoretical ML round but instead I had to face a live coding interview which threw me off. The question was a Leetcode Hard level involving dynamic programming, I reached a brute force solution but there wasnt enough time to refine it, leading to rejection. I applied regularly through google careers and my resume was shortlisted even though the role way suitable for holders of Masters degree or PhD ( I had only a bachelor degree and research experience at the time )