Real, anonymous reports from people who interviewed for Research Scientist at Google, newest first and distilled into what to expect across the loop.
After submitting a resume for a research scientist role, the candidate had an HR conversation that felt personalized. They were not selected, but reported it increased confidence about succeeding in the future.
The interview process included one coding round (medium difficulty LeetCode-style problems) and one research round focused on the candidate’s resume and projects, with additional questions tied to math for machine learning. No offer was reported.
The interview process typically consists of a coding round, a research round focused on the candidate's resume and projects, and a non-technical segment that may include behavioral questions or product cases.
Candidates can expect a coding round featuring medium difficulty problems similar to those found on LeetCode, focusing on algorithms and data processing.
The research round emphasizes the candidate's past projects and may include questions related to mathematics for machine learning, assessing their theoretical knowledge and practical application.
Candidates should prepare for questions covering statistics topics such as probability, experimental design, and model inference, which are crucial for the role.
An initial HR conversation is part of the process and is reported to be personalized, which can help candidates feel more confident about their future applications.