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PlantingSpace is hiring a
Bayesian Software Engineer

About PlantingSpace

We are building an AI system based on a fundamentally new approach that goes beyond LLMs, aimed at providing novel capabilities. These include performing multi-step analysis, providing a verifiable reasoning path, citing sources, and assessing uncertainty. We envision applications supporting analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.

Job Description

Work on Bayesian software engineering to build and scale probabilistic modeling pipelines. Implement Bayesian inference algorithms, design robust software components for uncertainty propagation, and collaborate with data scientists and engineers to ship production-ready features. Familiarity with probabilistic programming frameworks and Bayesian methods is advantageous.

Remote

Remote Conditions

EU time zones; quarterly meet-ups (in-person)

Salary

Not Specified

Benefits

Not Specified
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