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 software engineers experienced with transformer models to contribute to the development of our inference pipeline. Tasks will focus on integration of pre-trained transformer models with symbolic reasoning.
Our team works fully remotely, and mostly within the CET timezone.
Useful experience
- Work within Natural Language Processing
- Implementation, training and fine-tuning of deep learning models
- Deployment of ML models at scale (Serving models, Optimisation)
- Experience with ML frameworks
- Following state of the art deep learning and large language modelling
Responsibilities
- Develop model evaluation frameworks based on task requirements
- Implement training and inference pipelines
- Implement models as components of our production system
- Conduct research, and document findings and designs
- Push the capabilities of our system by introducing state of the art techniques
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/
Top Skills
What We Do
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/
