2 - 15 years of commercial experience in a ML role (experience is great to see, but excitement and startup orientation is more important than experience. Someone having worked in big tech for far too many years is, for instance, as you might expect, often a negative signal because they are not startup-oriented)
Can code up a transformer from scratch in pytorch
Comfortable creating large-scale datasets
Care about the problem of finding high quality knowledge and recognize how important this is for the world
Graduate-level ML experience at a toptier university (proof of grades required)
Responsibilities
Train machine Learning models
Build an RLAIF pipeline for search capabilities
See where your imagination takes you! dream of a new novel architecture - great! code it up and see how it competes against existing models!