Bayesian Software Engineering
PlantingSpaceUnited States
Posted September 30, 2025
Full Time
About the Company
PlantingSpace is a deep‑tech startup that develops a data‑centric platform for accurately modeling knowledge and uncertainty, empowering organizations to uncover insights and solve problems transparently. The company’s core focus spans software engineering, research, operations, and business development, with a growing, remote‑first team that values outcomes over rigid schedules. By automating routine tasks, PlantingSpace frees its engineers and researchers to tackle complex, creative challenges. The organization also promotes a culture of co‑ownership, offering employees equity stakes and regular in‑person gatherings to foster collaboration and shared purpose.
Job Description
We are building an AI system for analysts and scientists, based on a fundamentally new approach to reasoning and knowledge representation. We go beyond state-of-the-art LLMs by combining algorithms symbolically, to provide novel capabilities like performing multi-step analysis, displaying a verifiable reasoning path, and assessing uncertainty.
Requirements
- Production backend software engineering
- Design and implementation of probabilistic programming language features
- Implementation of Bayesian inference methods such as MCMC, SMC or VI.
- Statistical modeling of real-world scenarios
- Constrained optimization algorithms
- Functional or typed programming