Good work-life balance and challenging problems
Good work-life balance and challenging problems
- Good work, like balance and overall culture.
- Best AI resources available and tons of data to play around with.
- Insights into Google's roadmap through TGIF.
Limited impact due in large teams.
- Stock is underperforming.
Additional Ratings
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Google Interview Questions
Google Interview Experiences
Machine Learning Engineer
Asked challenging questions! I felt like it was a fair interview and encouraged me to think in critical ways. It required me to demonstrate my technical knowledge relevant to the job.
Machine Learning Engineer
I connected with a recruiter and secured an onsite interview in Mountain View. Google's recruiter was friendly and set up the onsite. There were five rounds of technical interviews. Although the position title was "Machine Learning Engineer," the i
Machine Learning Engineer
It was good. Focus on arrays, strings, hash maps, trees/graphs, recursion, and 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
Machine Learning Engineer
Mountain View, California, United StatesMarch 2, 2025Asked challenging questions! I felt like it was a fair interview and encouraged me to think in critical ways. It required me to demonstrate my technical knowledge relevant to the job.
Machine Learning Engineer
Mountain View, California, United StatesOctober 1, 2017I connected with a recruiter and secured an onsite interview in Mountain View. Google's recruiter was friendly and set up the onsite. There were five rounds of technical interviews. Although the position title was "Machine Learning Engineer," the i
Machine Learning Engineer
IndiaNovember 5, 2025It was good. Focus on arrays, strings, hash maps, trees/graphs, recursion, and 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
