Analytic Learning Algorithm Research at PlantingSpace | Torre

Analytic Learning Algorithm Research

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Full-time

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Remote (for Cet residents)
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Emma of Torre.ai
4 months ago

Responsibilities


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 are looking for full-time researchers to contribute to the development and analysis of our learning algorithms. You will work on interesting theoretical problems with immediate applicability to implementation of our system.Our team works fully remotely, and mostly within the CET timezone.Useful experienceDevelopment of mathematical analysis methods, for example: optimal transport, information geometry, continuous optimization methodsAnalysis of probabilistic graphical models, including factor graphsImplementation of tractable density estimators (normalising flows, autoregressive density models, probabilistic circuits)Translation between equational reasoning and code implementationMathematics, Computer Science, or Statistics advanced degree (with PhD or equivalent research experience)ResponsibilitiesDevelop numerical-analytical models of learning in our systemConnect our research to existing literatureProve properties of algorithms and design experiments to validate results empiricallyLeverage the expertise of other team members effectivelyWrite clean and well documented codeHelp other team members to deliver on their goalsOn our website you can find more about our team and work culture, as well as example tasks that share some insight into the type of things team members are working on.What we do: https://planting.space/ Ways of work: https://planting.space/org/ Team culture and example tasks: https://planting.space/joinus/