probabilistic models · domain knowledge
PlantingSpace | Full-time | Remote (EU time zone) + Quarterly Meet-ups | https://planting.space We're building a system that represents domain knowledge as modular probabilistic models — making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system enforces consistency across them, and propagates uncertainty through each step. Our first applications are in finance and scientific research, with use cases ranging from equity valuation and distress monitoring, to particle physics. We're hiring for the following openings:
- Technical Project Manager * Backend Software Engineer * Quantitative Modelling Engineer * Analytic Learning Algorithm Researcher * Product Managers and Business Development * Domain Experts - Valuation, Quantitative Default-Probability, or Interest Rate Prediction Models: to collaborate on use cases, from opportunity validation through production Find out more, and apply at: https://planting.space/joinus/