There's actually ML work to be done since Scale does label data.
The interview process includes an initial call, followed by a home assignment, a live coding round, a technical interview, and concludes with the final round for decision-making and offer discussion.
Take home assignment -> Tech Screening -> four interviews Take home was on DL fundamentals and implementation quality with torch libraries. Tech Screening was on Pandas and Numpy with strict time constraints.
The process consisted of a technical screen (take-home coding challenge based either on NLP or computer vision), followed by a live coding session. The final step is a set of onsite interviews.
The interview process includes an initial call, followed by a home assignment, a live coding round, a technical interview, and concludes with the final round for decision-making and offer discussion.
Take home assignment -> Tech Screening -> four interviews Take home was on DL fundamentals and implementation quality with torch libraries. Tech Screening was on Pandas and Numpy with strict time constraints.
The process consisted of a technical screen (take-home coding challenge based either on NLP or computer vision), followed by a live coding session. The final step is a set of onsite interviews.