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 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.
Useful experience
- Implementation of program synthesis frameworks
- Implementation and analysis of algorithms
- Production backend software engineering
- Julia, or usage of some more functional or typed languages, e.g. Rust, OCaml, Clojure, C++, or Haskell
- Symbolic computing (graph theory and algebra)
- Profiling and low level performance optimisation
- Mathematics, Computer Science, or Statistics advanced degree
Responsibilities
- Define new features or fixes, based on awareness of overall objectives and challenges
- Commit to delivering defined features or fixes end-to-end
- Define implementation strategies
- Leverage the expertise of other team members effectively
- Write design documents for more complex problems
- Write clean and performant 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/
