---
title: 'Analytic Learning Algorithm Research at PlantingSpace'
canonical: 'https://feeny.ai/job/analytic-learning-algorithm-research-plantingspace-remote-m7xvny08rrcz'
type: 'job'
last_seen: '2026-10-14'
---

# Analytic Learning Algorithm Research at PlantingSpace

- **Company:** PlantingSpace
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-03-25
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/plantingspace/28fcfdfc-010f-47f1-9486-e7133252acec

## Job description

We're building a system that represents domain knowledge as modular probabilistic models — making analysis rigorous and transparent. Users can connect these models flexibly into larger structures. The system enforces consistency across them, and propagates uncertainty through each step. Our first applications are in finance and scientific research, with use cases ranging from equity valuation and distress monitoring, to particle physics.

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

- Development of mathematical analysis methods, for example: optimal transport, information geometry, continuous optimization methods
- Analysis of probabilistic graphical models, including factor graphs
- Implementation of tractable density estimators (normalising flows, autoregressive density models, probabilistic circuits)
- Translation between equational reasoning and code implementation
- Mathematics, Computer Science, or Statistics advanced degree (with PhD or equivalent research experience)

## 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

## How we work

- Hierarchical goals, not personal hierarchies: We organise around a transparent tree of goals and tasks. Every quarter we plan milestone goals, which branch down into smaller and smaller tasks. This tree is the foundation of how we organise, not a side tool.
- Transparency: Everyone should have access to every opportunity in the team that they can realistically handle. All goals, tasks, and the reasoning behind them are visible to everyone.
- Decisions become tasks: When something is discussed and decided, it gets captured as a task in the right place in the tree, so that nothing dissipates as hot air.
- Written and asynchronous by default: We are fully remote and document our learnings in writing. Communication happens transparently in shared channels, not in private threads and one-on-ones.
- Growing from leaf to tree: New joiners start from smaller leaves of the tree and work themselves up to ownership of larger branches as trust and understanding build. Teams form around topics and dissolve when the work is done; people move to where they are most useful.

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/

## About PlantingSpace

## Company Overview
- **One-liner**: PlantingSpace builds a probabilistic reasoning system that accurately represents knowledge and uncertainty to enable transparent problem solving and insight discovery, acting as an analyst, research assistant, or data scientist.
- **Entity Type**: Private (Startup) – multiple seed rounds, total funding $17.7M
- **Headquarters**: Zug, Switzerland
- **Founded**: 2021
- **Founders**: Not publicly listed

## Core Business
- **Primary industry/industries**: Deep tech AI, probabilistic reasoning, knowledge representation, cognitive science
- **Target customers**: B2B – analysts, research assistants, data scientists, and organizations needing transparent, uncertainty-aware reasoning
- **Mission or purpose statement**: “Making use of humanity’s vast collective knowledge” by building a system that accurately represents knowledge and uncertainty [planting.space](https://planting.space/)

## Products & Services
- **PlantingSpace System**: A platform that accepts queries in natural or domain-specific language and returns answers with a probabilistic distribution over possible outcomes, along with a transparent reasoning trace showing data sources, statistical methods, and machine learning models used. Components include universal knowledge representation, deep learning, category theory, and a visual/natural language interface [planting.space](https://planting.space/).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $17.7M across five seed rounds (latest round December 2024: $5.6M) [ch.linkedin.com](https://ch.linkedin.com/company/plantingspace)
- **Notable Investors/Partners**: Not publicly listed from available sources
- **Growth Signals**: Headcount grew 20.7% YoY to 32 employees; operates across 15 countries; team is fully remote with quarterly retreats in European locations [ch.linkedin.com](https://ch.linkedin.com/company/plantingspace)

## Competitive Advantages
- Unique combination of Bayesian statistics, category theory, deep learning, and cognitive science to create a system that explicitly represents uncertainty and provides transparent reasoning.
- Differentiated by offering a “glass box” approach – showing the full reasoning procedure behind every answer, unlike black-box AI models.
- Strong emphasis on formal mathematical foundations (applied category theory) and compositional structure.

## Strategic Focus
- Sustainably growing the team in research, software development, operations, and business development.
- Continuing to develop the theoretical framework and implement it in a robust, performant system.
- Expanding the system’s applicability across domains as an analyst, research assistant, or data scientist.

## Why Work Here
- **Culture**: Highly autonomous, remote-first environment with no static positions; teams form fluidly around common goals. Over 70% of team members choose to become stakeholders (co-ownership from day one) [planting.space/org](https://planting.space/org).
- **Remote/Hybrid/Office**: 100% remote, hiring predominantly in European time zones; asynchronous work with focus on outcomes, not hours.
- **Notable perks**: Quarterly team retreats in enjoyable European locations; emphasis on self-learning, problem-solving, and collaboration across disciplines.
- **Engineering culture**: Tech stack includes Julia, Rust, TypeScript, React, D3, Terraform, Kubernetes, GitLab. Work involves complex implementation, formal reasoning, and probabilistic programming [planting.space/joinus](https://planting.space/joinus/).

## Sources
1. [planting.space](https://planting.space/) – Company overview and technology description
2. [planting.space/joinus](https://planting.space/joinus/) – Careers page with team culture and skill requirements
3. [planting.space/org](https://planting.space/org) – Organisation page detailing co-ownership, autonomy, and work methods
4. [planting.space/page-join-us](https://planting.space/page-join-us/working-with-us/) – “Working with us” page
5. [ch.linkedin.com](https://ch.linkedin.com/company/plantingspace) – LinkedIn company profile with funding, headcount, and team demographics

## Other roles at PlantingSpace

- [Backend Software Engineering](https://feeny.ai/job/backend-software-engineering-plantingspace-remote-rv01z82t3hhy)
- [Technical Project Manager](https://feeny.ai/job/technical-project-manager-plantingspace-remote-qcx3v5efqsrg)
- [Domain Expert Partnerships](https://feeny.ai/job/domain-expert-partnerships-plantingspace-remote-09b8wwqt0dbn)
- [Quantitative Modelling Engineer](https://feeny.ai/job/quantitative-modelling-engineer-plantingspace-remote-hbtkj9sjxfdp)
- [General Opening](https://feeny.ai/job/general-opening-plantingspace-remote-e7ahgedkjpbv)