Remote Bayesian Statistics & AI Problem Designer
Mercor Inc
San Francisco, CA
- Remote job
Mercor is seeking a Computational Bayesian Statistics and Applied Mathematics Expert to tackle challenging computational problems for AI applications. This remote position requires a commitment of 15-20 hours per week, focusing on designing tests to evaluate AI capabilities in scientific tasks. The ideal candidate will hold graduate-level STEM training and possess strong Python skills, with familiarity in scientific software libraries. The role promotes independent work and offers challenge-focused collaborations. #J-18808-Ljbffr Mercor Inc
Vacancy posted 5 days ago
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