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?