I applied through college or university. The process took 3 months. I interviewed at Google (Seoul) in Jan 2024
Interview
The interview process was structured and comprehensive. It started with an initial phone screening with HR, where they asked about my background and experience in machine learning. This was followed by a technical interview with a senior engineer, where I was asked to solve coding challenges and discuss my past projects. The final round was a panel interview that included a mix of behavioral and technical questions. Overall, the process took about three weeks and provided a good insight into the company's work culture and technical expectations.
Interview questions [1]
Question 1
Can you describe a machine learning project you have worked on and the impact it had?
Questions about data structures and ML use cases, especially NLP. Questions about how to write a neural network in pytorch and how to deploy a model in cloud providers like GCP and AWS. API also are crucial.
Interview questions [1]
Question 1
Software engineer questions, data structure in particular
I applied through an employee referral. The process took 2 weeks. I interviewed at Google (Bengaluru) in Jun 2021
Interview
Typical Coding Rounds (DSA) Skipped Machine Coding Round because of referral. 4 Coding Round(3DSA + 1 ML) 1 System Design 1 Googliness Round In general everything is similar to SDE interviews at just one coding round for ML is different.
Interview questions [1]
Question 1
Can't tell you exact questions but all were pretty simple and related to tree Data in all 3 coding rounds.