Computational Bayesian Problem Designer
Mercor
Obsidian is looking for a Computational Bayesian Statistics and Applied Mathematics Expert in San Francisco. You will design original and challenging problems for advanced AI systems, testing their capabilities using real scientific software. The ideal candidate has graduate-level expertise, combines strong programming skills in Python with experience in specialized scientific software libraries, and can work independently to refine problem designs. #J-18808-Ljbffr Mercor
Vacancy posted 3 days ago
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