Full-time
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:
* Engineering Program Lead
* Backend Software Engineer
* Quantitative Modelling Engineer
* Bayesian Software Engineer
* Program Synthesis 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
We’ve recently released a series of recordings from one of our quarterly team retreats, to share a look into how we work, and some of the technical problems we’re solving. A few team members sat down and talked through these topics, unscripted, and real. If you consider applying to join us, they offer a glimpse into our culture, and what working with us is really like. Watch the series on YouTube » https://www.youtube.com/@plantingspace9225/videos
Find out more, and apply at: https://planting.space/joinus/