Very high compensation, positive culture, and employee-centered.
Somewhat messy organization; teams don't always know what's expected of them.
1. Phone interview with HR. 2. Online meeting with the Hiring Manager - talk through your experience. 3. Home assignment (10 hours of working end-to-end) - data processing pipeline with applications and frameworks. 4. On-site interview - detailed int
I applied online. The recruiter reached out and scheduled an initial call with an engineer for the first round. This was followed by a 90-minute exercise (Craft), a discussion on the code, and other ML/Software concepts. I also coded KNN. One of th
Here's a summary of the interview process: * 30 minutes on a phone call with a recruiter. * 1.5 hours for an interview with the team leader. * A home assignment that took about 4 hours. * 3.5 hours for an interview with several team members.
1. Phone interview with HR. 2. Online meeting with the Hiring Manager - talk through your experience. 3. Home assignment (10 hours of working end-to-end) - data processing pipeline with applications and frameworks. 4. On-site interview - detailed int
I applied online. The recruiter reached out and scheduled an initial call with an engineer for the first round. This was followed by a 90-minute exercise (Craft), a discussion on the code, and other ML/Software concepts. I also coded KNN. One of th
Here's a summary of the interview process: * 30 minutes on a phone call with a recruiter. * 1.5 hours for an interview with the team leader. * A home assignment that took about 4 hours. * 3.5 hours for an interview with several team members.