PlantingSpace | Full-time | Remote (EU time zone) with quarterly gatherings | https://planting.space
We build a system that can accurately represent knowledge and handle uncertainty, to help us discover insights and solve problems based on composition and explainable reasoning. We envision applications to automate analysis and speed up research in domains such as Finance, Strategy Consulting, Material Sciences, Engineering, and more.
>>> Senior Business Development Engineer
As we are moving into our product development phase, you will be essential in helping us define strategically optimal use cases and develop the most value-adding partnerships to set our initial product direction. You bring at least 10 years of experience in developing business opportunities for AI/ML-driven SaaS products.
A bit more about us:
To pursue our goal, we leverage emerging scientific fields such as category theory, probabilistic programming, deep learning, and cognitive science. Our team is distributed across many countries, but we get together every quarter in nice locations around Europe to solve problems, connect, and learn.
Just as some random feedback, I skimmed the site and had no idea what you do, I read it a second time with full attention and I'm still a little confused though I think I have an idea.
Some examples / showcases would be nice IMHO unless you wanted it to be sort of vague on purpose.
The idea I left with is some sort of chatGPT for more global and inter-disciplined issues?
Thanks for the feedback. It is somewhat vague on purpose, but we are starting to work on a new version of the site which should be more concrete.
To build on your initial idea - our system can use language models under the hood, but more importantly, beyond that, it can also:
1. Perform computations and reason in exact or statistically correct manner.
2. Provide sources of information that it used to answer questions.
We are building a product, working on the initial release now, we do not plan to do consulting if that is what you meant. Users should, amongst other things, be able to obtain data solutions by interacting with our system.
Thanks for sharing your impressions.
- Automation Software Engineering: to build tools and improve processes for our team, working with CI/CD, and programming in Typescript or Julia
- Dynamical Systems Research: to analyze our learning algorithm as a dynamical system
- Front-End Development: Ideally somebody experienced with data visualization, especially D3.js
- Site Reliability Engineering: to build reliable scalable machine learning infrastructure. Skills with AWS, GitLab, CI, Terraform, Kuberenetes
PlantingSpace is a research and development startup with the goal of building a system capable of understanding knowledge, to answer questions and get things done. To pursue this goal, we leverage emerging scientific fields such as category theory, probabilistic programming, deep learning, and cognitive science.
- Automation Software Engineering: to build tools and improve processes
- Front-End Development: to help define and implement UI experience, in a growing system
- Site Reliability Engineering: to build reliable scalable software infrastructure for our system
- Dynamical Systems Research: to analyze our learning algorithm as a dynamical system
PlantingSpace is a research and development startup with the goal of building a system capable of understanding knowledge, to answer questions and get things done. To pursue this goal, we leverage emerging scientific fields such as category theory, probabilistic programming, deep learning, and cognitive science.
Our core is built in Julia, but we will also consider skills in other production languages, such as Haskell, Clojure, OCaml, Rust and C++.
If you want to learn more about our company, get some insights into what it’s like to work in our team and participate in our retreats, check our out Join Us page: https://planting.space/joinus
- Dynamical Systems Research: to analyze our learning algorithm as a dynamical system
- Transformers Software Engineering (NLP): For transformer models, to work on query parsing
- Global HR Manager: to build the necessary structures for us to engage the best people globally
PlantingSpace is a research and development startup with the goal of building a system capable of understanding knowledge, to answer questions and get things done. To pursue this goal, we leverage emerging scientific fields such as category theory, probabilistic programming, and cognitive science.
Our core is built in Julia, but we will also consider skills in other production languages, such as Haskell, Clojure, OCaml, Rust and C++.
If you want to learn more about our company, get some insights into what it’s like to work in our team and participate in our retreats, check our out Join Us page: https://planting.space/joinus
* Senior Software Engineers: to build symbolic components of our core system
* NLP Engineers: For transformer models, to work on query parsing
We are a research and development startup, with an ambitious goal to build a system capable of understanding knowledge, to answer questions and get things done.
Our work leverages cutting-edge domains such as Probabilistic Programming and Applied Category Theory. Initially we’re focussed on building a system that can receive queries in natural or domain specific language, provide good answers and an insight into its reasoning. Our core is built in Julia, but we will also consider skills in other production languages, such as Haskell, Clojure, OCaml, Rust and C++.
If you want to learn more about our company, get some insights into what it’s like to work in our team and participate in our retreats, check our out Join Us page: https://planting.space/joinus
We are a research and development startup, with an ambitious goal to build a system capable of understanding knowledge, to answer questions and get things done.
We are currently hiring skills in:
- Automation engineering: to build tools and improve processes
- NLP & transformer models: to work on query parsing
- Software engineering (Julia): to build symbolic components of our system
Our work leverages cutting-edge domains such as Probabilistic Programming and Applied Category Theory. Initially we’re focussed on building a system that can receive queries in natural or domain specific language, provide good answers and an insight into its reasoning.
If you want to learn more about our company, get some insights into what it’s like to work in our team and participate in our retreats, check our out Join Us page: https://planting.space/joinus
PlantingSpace | REMOTE (Europe time) | https://planting.space
We are a research and development startup, with an ambitious goal to build a system capable of understanding knowledge, to answer questions and get things done.
Our work leverages cutting-edge domains such as Probabilistic Programming and Applied Category Theory. Initially we’re focussed on building a system that can receive queries in natural or domain specific language, provide good answers and an insight into its reasoning.
We look for skills in:
- NLP & transformer models: to work on query parsing
- Software engineering (Julia): to build our core system
If you want to learn more about our company, get some insights into what it’s like to work in our team and participate in our retreats, check our out Join Us page: https://planting.space/joinus
We are a research and development startup, with an ambitious goal to build a system capable of understanding knowledge, to answer questions and get things done.
Our work leverages cutting-edge domains such as Probabilistic Programming and Applied Category Theory. Initially we’re focussed on building a system that can receive queries in natural or domain specific language, provide good answers and an insight into its reasoning.
We look for skills in:
- NLP & transformer models: to work on query parsing
- Software engineering (Julia): to build our core system
If you want to learn more about our company, get some insights into what it’s like to work in our team and participate in our retreats, check our out Join Us page: https://planting.space/joinus
We are building a system which accurately represents knowledge and uncertainty, to enable the discovery of insights and transparent problem solving.
Our current job openings:
- Software Engineers (mid-senior): to build symbolic components of our core system
- Automation Software Engineering: to build tools and improve processes for our team
- NLP Engineers: for transformer models, to work on query parsing
- Senior Business Development Engineer: defining our go-to-market strategy
Useful experience: algorithms, Bayesian statistics, symbolic computing, optimization, category theory, information theory.
If you want to learn more about our company, get some insights into what it’s like to work in our team and participate in our retreats, check out our YouTube page: https://www.youtube.com/channel/UC3t82qavONuLBAr_JAUCSvA
To see a full list of openings, and to apply, follow our Join Us page: https://planting.space/joinus/