A lot of opportunity to learn: the team is open to adopt new techniques in the industry, so you have a lot of opportunity to work on cutting-edge ML projects.
People's achievements are well-recognized.
People here are generally friendly and easy to work with.
Lack of liquidity. With a year of searching, the company direction is much clearer, but the execution from the management may fall short.
Multiple coding, past project, and ML rounds were part of the interview. The ML rounds focused mostly on basic ML questions and intuitions. Coding questions were not LeetCode-style questions. Past project rounds involved diving into one project
Up to three phone interviews before an onsite. This is an intensive process where the first two questions are standard algorithmic questions, and the third is specific to the team you are applying to. You're at a disadvantage if you don't know spec
Phone call with a recruiter. Ten days later, a technical phone screen with an engineer. Received positive feedback from the phone screen a few days later. On-site scheduling took forever. Finally onsite: Arrived early (parking is terrible; had t
Multiple coding, past project, and ML rounds were part of the interview. The ML rounds focused mostly on basic ML questions and intuitions. Coding questions were not LeetCode-style questions. Past project rounds involved diving into one project
Up to three phone interviews before an onsite. This is an intensive process where the first two questions are standard algorithmic questions, and the third is specific to the team you are applying to. You're at a disadvantage if you don't know spec
Phone call with a recruiter. Ten days later, a technical phone screen with an engineer. Received positive feedback from the phone screen a few days later. On-site scheduling took forever. Finally onsite: Arrived early (parking is terrible; had t