Great work/life balance. Fair salary. Great views from the corporate office.
They always had goals for how to use machine learning in the company. But because the executives who set machine learning department goals weren't the same people in charge of technical infrastructure, we never hit our goals.
Too much red tape everywhere to do anything innovative.
Give the ML executives/managers more power to make infrastructure decisions. Hire more Data Engineers relative to ML engineers or Data Scientists.
I passed the technical interview and received two phone calls indicating I will be moving forward in team matching. It has been over a month since I've heard anything back. The communication has been poor.
It consisted of a phone interview with a recruiter that asked basic personal questions. I got a virtual interview a couple of weeks after that was half behavioral and half technical.
I completed the screening with the recruiter, followed by a one-hour technical interview via Webex video. Additionally, I attended an in-person interview at the New York office, gaining valuable experience.
I passed the technical interview and received two phone calls indicating I will be moving forward in team matching. It has been over a month since I've heard anything back. The communication has been poor.
It consisted of a phone interview with a recruiter that asked basic personal questions. I got a virtual interview a couple of weeks after that was half behavioral and half technical.
I completed the screening with the recruiter, followed by a one-hour technical interview via Webex video. Additionally, I attended an in-person interview at the New York office, gaining valuable experience.