
Probabilities are at the core of every decision we make, never quite perfect, often incomplete. In fact, our view of the world’s digital twin is made of many digits with floating points, neither black and white nor binary, mostly filled with deep gradients. Knowledge is at your fingertips, yet trapped inside. Once the data model fits, because we can explain, you can therefore infer and act. Our brand, our logo, the three dots… it’s all in there. Welcome to :probabl.

Probabilities are at the core of every decision we make, never quite perfect, often incomplete. In fact, our view of the world’s digital twin is made of many digits with floating points, neither black and white nor binary, mostly filled with deep gradients. Knowledge is at your fingertips, yet trapped inside. Once the data model fits, because we can explain, you can therefore infer and act. Our brand, our logo, the three dots… it’s all in there. Welcome to :probabl.
Founded: 2023
Headquarters: Paris, France
Focus: Commercial steward and enterprise operator of scikit-learn; open-source data science & ML products
Notable product / offering: Skore platform; Skolar training/certification; professional services
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Enterprise adoption and operationalization of open-source machine learning (scikit-learn) for data science teams.
2023
Software Development
€13.0M
Reported seed round with participation from Bpifrance, Mozilla Ventures, and others
“Backed by a mix of public and private supporters including Inria Participations, French Tech Souveraineté / Bpifrance, Mozilla Ventures, Apertu Capital, Costanoa Ventures, Serena, and Capital Fund Management”
About Probabl Probabl is company behind scikit-learn , the world's most widely used machine learning library. Born from the open-source ecosystem, we are building a comprehensive suite of tools, starting with Skore . Our mission is to help data teams design, track, and validate models through a unique code-first UX, prioritizing ease of use and flow.
The Role As a Backend Engineer , you will build the backbone of Skore , ensuring our platform is robust, scalable, and secure. Beyond the core product, you will support our Go-to-Market strategy by building and deploying services (billing, licensing, telemetry, and MLOps tools) that provide simple and direct value to data scientists.
You will join a team that values curiosity, collaboration, and high-quality engineering standards.
Responsibilities
Technical Environment
Requirements
Preferred Qualifications
Working Conditions