Computational Bayesian Problem Designer for AI Benchmarks
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Mercor is seeking a Computational Bayesian Statistics and Applied Mathematics Expert to design challenging computational problems. The role involves creating original tasks that leverage AI to perform research-level work with scientific software.
Ideal candidates will possess a graduate degree and have practical coding experience. Proficiency in Python and familiarity with libraries like PyMC and FEniCS are crucial for successfully tackling complex problem-solving. This position requires a commitment of 15–20 hours per week.#J-18808-Ljbffr