Roles
Tech stack
Location
Remote (EU time zone), Quarterly meet-ups
Contact
talent@planting.space
Description
PlantingSpace is building a system representing domain knowledge as modular probabilistic models that can be flexibly connected, enforcing consistency and propagating uncertainty. Initial applications target finance and scientific research (equity valuation, distress monitoring, interest rate prediction, particle physics). Early-stage deep-tech opportunity for builders and practitioners. Current openings include Product Software Engineering (Quantitative Modeling), Program Synthesis Engineering, Applied Category Theory Research, and Bayesian Software Engineering. They are also seeking domain experts to collaborate on high-value use cases (valuation models, quantitative default-probability models, interest rate prediction models). Apply or learn more at planting.space/joinus/; contact talent@planting.space for questions.
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