symbolic computing Jobs - June 2026
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PlantingSpace
Product Software Engineering (Quantitative Modeling)
Posted 2 weeks, 4 days ago
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 unce…
Roles
Tech stack
Location
Remote (EU time zone)
Work setup
full-time · Remote (EU time zone) + Quarterly Meet-ups
Compensation
Full-time. Quarterly meet-ups. No salary information provided.
Benefits
Quarterly meet-ups
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PlantingSpace
Finance Ops
Posted 1 year, 10 months ago
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…
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PlantingSpace
Applied Category Theorist (Knowledge Representation)
Posted 1 year, 11 months ago
We are building an AI system that can accurately represent knowledge and handle uncertainty, to enable the discovery of insights and solve problems based on explainable reasoning. Our technology is not based on a GPT framework but on a novel approach to struc…
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PlantingSpace
Applied Category Theorist (Knowledge Representation)
Posted 2 years ago
We are building an AI system that can accurately represent knowledge and handle uncertainty, to enable the discovery of insights and solve problems based on explainable reasoning. Our technology is not based on a GPT framework but on a novel approach to struc…
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PlantingSpace
Senior NLP Engineer
Posted 2 years, 1 month ago
We are building an AI system that can accurately represent knowledge and handle uncertainty, to enable the discovery of insights and solve problems based on explainable reasoning. Our technology is not based on a GPT framework but on a novel approach to struc…
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PlantingSpace
Automation Software Engineering
Posted 2 years, 9 months ago
We are building a system which accurately represents knowledge and uncertainty, to enable the discovery of insights and transparent problem solving.