PlantingSpace is hiring a
Product Engineer - Quantitative Modeling
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
Own product features enabling quantitative modeling and Bayesian methods within the platform. Translate modeling requirements into resilient software components and intuitive user experiences. Collaborate with researchers and domain experts to validate use cases across finance and scientific domains. Qualifications: experience with quantitative modeling, Bayesian inference, probabilistic programming, and program synthesis; strong communication; remote-ready.Remote
Remote Conditions
EU time zones; quarterly meet-ups
Salary
Not Specified
Benefits
Not Specified
Tech Tags
Bayesian InferenceProbabilistic ProgrammingProgram SynthesisQuantitative ModelingSoftware Development
Date Listed
03 August, 2026 (1 day ago)
