Laser-focused on deploying self-driving tech for goods.
With COVID-19 and what our work can do, this is a great group of people to work with. Everyone's willing to jump in and help out. High expectations for performance, and teams meet these expectations. Creative solutions to current challenges with shelter-in-place. Generous coworkers.
Typical startup pains for a fast-growing company. Some teams are more insular than others, and some people aren't the best communicators, but that's improving quickly with several big projects across multiple teams, as well as working from home.
Keep on hiring talented and caring coworkers that are willing to tackle tough problems, make a lot of progress in autonomy, and continue to make sure expectations are aligned between managers and their teams.
Overall good/neutral. Two tech screening rounds: * First round was an ML-style coding question. It was quite easy, but I needed to find the trick. The interview led me down the wrong path until I realized there was a simpler approach. Not the
The process began with an initial phone call with the recruiter. Following that, the virtual interview with the hiring manager was more technical, focusing on applying basic concepts to real-world problem-solving scenarios.
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
Overall good/neutral. Two tech screening rounds: * First round was an ML-style coding question. It was quite easy, but I needed to find the trick. The interview led me down the wrong path until I realized there was a simpler approach. Not the
The process began with an initial phone call with the recruiter. Following that, the virtual interview with the hiring manager was more technical, focusing on applying basic concepts to real-world problem-solving scenarios.
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