Friendly, supportive culture. Good benefits. Good work-life balance. Flexible for working remotely. Various use cases to work on.
The company has very limited understanding in machine learning, resulting in unreasonable policies (data access, infra development, use case prioritization, etc.) from the top down.
The interview process consisted of the following rounds: * Screening round (resume and ML basics) * ML coding round * Software system knowledge round * Data manipulation round (pandas) * ML theory round (discussing theory and ML use-cases)
Here's the interview process: 1. Recruiter phone screen 2. Conversation with Hiring Manager 3. Interactive Coding Interview (Python, Data preprocessing) 4. Final round: virtual on-site interviews * Two 1-hour technical interviews * Product M
I have been to quite a few interviews that would qualify as "weird" and "raising an eyebrow," but this one was definitely in a league of its own. Having a very relevant background, and having read several encouraging reviews on this site and elsewher
The interview process consisted of the following rounds: * Screening round (resume and ML basics) * ML coding round * Software system knowledge round * Data manipulation round (pandas) * ML theory round (discussing theory and ML use-cases)
Here's the interview process: 1. Recruiter phone screen 2. Conversation with Hiring Manager 3. Interactive Coding Interview (Python, Data preprocessing) 4. Final round: virtual on-site interviews * Two 1-hour technical interviews * Product M
I have been to quite a few interviews that would qualify as "weird" and "raising an eyebrow," but this one was definitely in a league of its own. Having a very relevant background, and having read several encouraging reviews on this site and elsewher