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 strong software engineers to build our program synthesis pipeline. You will be able to choose how close to theory or the production system you want to work, and be exposed to cutting edge research in Bayesian statistics, dynamical systems, information theory, category theory, and more.
Our team works fully remotely, and mostly within the CET timezone.
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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At Planting Space, we are seeking a dynamic and innovative Program Synthesis Engineer to join our remote team. As a key player in our mission to revolutionize the world of AI, you'll be involved in creating a groundbreaking system designed for analysts and scientists. We are taking artificial intelligence beyond state-of-the-art large language models by employing a unique approach to reasoning and knowledge representation. Imagine building a multi-step analytical engine that not only performs complex tasks but also presents a clear, verifiable reasoning pathway. Your work will help shape applications across various fields like Finance, Engineering, and Material Sciences. With an emphasis on cutting-edge research in Bayesian statistics, information theory, and more, this role offers you the opportunity to work closely with theory and production-level systems. Your responsibilities will include defining features based on team goals, writing performant code, and mentoring your peers. With a completely remote setup mostly aligning to the CET timezone, our team values collaboration and support. If you're well-versed in implementing program synthesis frameworks, backend software engineering, and possess an advanced degree in Mathematics, Computer Science, or Statistics, we would love for you to bring your expertise to Planting Space and contribute to exciting projects that truly matter.
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