Google is a great company. I was lucky.
Built an end-to-end machine learning model pipeline, from data extracting, preprocessing, feature engineering, and label defining to modeling, to predict user actions from their wearing device. Optimized the modeling pipeline with multiple methodologies, including Bayesian optimization and model ensemble.
An online application, followed by a technical interview where a recruiter and team member led me through some problems. I chose Python, but you can choose another language if you wish or are more comfortable with one.
No coding interview. Two rounds of research interviews back-to-back, 45 minutes each. They go into detail about projects you did before. I interviewed in December and heard back about one to two months later. The recruiters are nice, and the inter
A straightforward process, exactly what the recruiter described. It involved several technical interviews and some personal interviews. When it wasn't clear if they could hire or reject me, they gave me an additional technical interview.
An online application, followed by a technical interview where a recruiter and team member led me through some problems. I chose Python, but you can choose another language if you wish or are more comfortable with one.
No coding interview. Two rounds of research interviews back-to-back, 45 minutes each. They go into detail about projects you did before. I interviewed in December and heard back about one to two months later. The recruiters are nice, and the inter
A straightforward process, exactly what the recruiter described. It involved several technical interviews and some personal interviews. When it wasn't clear if they could hire or reject me, they gave me an additional technical interview.