We are a research & development startup building a system which accurately represents knowledge and uncertainty, to enable the discovery of insights and transparent problem solving. Currently we’re focussed on sustainably growing our team in the areas of software development, research, operations and business development. Check out our job page for our full list of opportunities and the skill sets we’re searching for: https://planting.space/joinus/ What matters to us are outcomes, not when and from where our team members work, so positions are remote and not bound to exact work hours. We automate as much as we can, so that we can focus on problems that require creativity, analytical thinking and problem-solving. We regularly meet in nice places to work and have fun together. We believe in co-ownership and aligned incentives, so team members can become shareholders of the company. Learn more about our ways of work, and values on our website: https://planting.space/

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 in symbolic ways, to provide novel capabilities like performing multi-step analysis, displaying a verifiable reasoning path, and assessing uncertainty. We envision applications supporting and automating analysis and research in domains such as Finance, Strategy Consulting, Engineering, Material Sciences, and more.

We are looking for full-time researchers to contribute to the development and analysis of our learning algorithm. 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 experience

Advanced mathematical analysis methods, for example: mathematical statistics, optimal transport, information geometry, optimization methods, and dynamical systems

Translation between equational reasoning and code implementation

Hierarchical Bayesian modeling and Bayesian computation

Meta learning or transfer learning

Research software engineering, algorithm development, and prototyping from scratch

Mathematics, Computer Science, or Statistics advanced degree (ideally PhD)

Responsibilities

Develop numerical-analytical models of learning in our system

Connect our research to existing literature

Prove properties of algorithms and design experiments to validate results empirically

Leverage the expertise of other team members effectively

Write clean and well documented code

Help other team members to deliver on their goals

On 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/

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