Bayesian Statistics Expert & AI Benchmark Problem Designer

Obsidian in Paris is looking for a Computational Bayesian Statistics and Applied Mathematics Expert to create challenging problems that test AI's capabilities in solving scientific tasks. This role involves designing graduate-level problems, refining them through testing against state-of-the-art AI models, and ensuring they strike the right difficulty balance.

The ideal candidate will have hands-on experience with various scientific software, strong Python skills, and the ability to work independently while harnessing feedback. Strong expertise in Bayesian statistics or applied mathematics at the graduate level is required.