I am Deshraj, a co-founder at Caliper, a platform for recruiting AI talent.
As ML/AI roles grow, we need scalable ways to test candidates' practical ML skills at the screening stage (before they come for an onsite interview).
This exists for testing CS algorithms/data structures in the usual coding interviews, but performance on those isn't necessarily correlated with practical ML / AI skills.
It would be nice if recruiters or hiring managers could create a challenge around some (say toy) data, invite candidates to participate in the challenge, see how they compare on a leaderboard, look at their code if they'd like, and then decide if they'd like to interview (and eventually hire!) the candidates.
Caliper provides exactly this. Would this be of interest?
I am Deshraj, a co-founder at Caliper, a platform for recruiting AI talent.
As ML/AI roles grow, we need scalable ways to test candidates' practical ML skills at the screening stage (before they come for an onsite interview).
This exists for testing CS algorithms/data structures in the usual coding interviews, but performance on those isn't necessarily correlated with practical ML / AI skills.
It would be nice if recruiters or hiring managers could create a challenge around some (say toy) data, invite candidates to participate in the challenge, see how they compare on a leaderboard, look at their code if they'd like, and then decide if they'd like to interview (and eventually hire!) the candidates.
Caliper provides exactly this. Would this be of interest?