Great benefits package, industry-leading when taken as a whole.
Good work-life balance.
"Crunch" times are rare and brief when they do occur.
This is by far the most diverse team I've worked with.
Middling salary range for the industry. Low rate of stock refreshers. Opportunities for advancement can be very limited if you're not in a part of the org that matches your org's specific focus.
It's time to adjust refreshers to match the industry overall.
Typical FAANG interview. 4 parts, each with 1 technical question and 1 behavioral question. 1 system design question, 3 coding questions that target different things: * Requirement definition * Trade-offs in solution * A problem where the challenge
Based on the recruiter's email, I was expecting the conversation to include questions around my C++ coding skills and prior experience relevant to the role, and LeetCode-style coding in C++. However, the discussion only focused on the hiring manager
Three Data Science and Algorithm rounds were there. In each round, two questions of medium complexity were asked. After discussing the solution, I was asked to write the program. It was fine to use dummy code.
Typical FAANG interview. 4 parts, each with 1 technical question and 1 behavioral question. 1 system design question, 3 coding questions that target different things: * Requirement definition * Trade-offs in solution * A problem where the challenge
Based on the recruiter's email, I was expecting the conversation to include questions around my C++ coding skills and prior experience relevant to the role, and LeetCode-style coding in C++. However, the discussion only focused on the hiring manager
Three Data Science and Algorithm rounds were there. In each round, two questions of medium complexity were asked. After discussing the solution, I was asked to write the program. It was fine to use dummy code.