
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…

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…
Company: :probabl.
Headquarters: Paris, France
Founded: 2023
Focus: Commercial steward/operator of scikit-learn; open-source tooling and enterprise ML products
Recent financing: €13M seed round (co-led by Serena and CFM)
Productionizing machine learning and sustaining open-source data-science infrastructure centered on scikit-learn.
2023
Software Development
€13M
Round included participation or prior support from Apertu Capital, Mozilla Ventures, and public/backing stakeholders such as France 2030 / French Tech Souveraineté and Inria Participations
“Backers include venture firms (Serena, CFM, Apertu, Mozilla Ventures) and public stakeholders (France 2030 / French Tech Souveraineté, Inria Participations)”
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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 Machine Learning Engineer , you will focus on Skore’s interoperability, ensuring it fits naturally into existing enterprise ecosystems. Your primary goal is to drive adoption by removing friction.
You will bridge the gap between our code-first UX and the broader infrastructure. This involves two distinct challenges: building bridges with enterprise tools (e.g. tracking systems, data platforms) and simplifying access to remote compute substrates.
Responsibilities
We don’t expect you to have all the above qualifications to start with. If you think you have competency in certain areas and are excited to learn the rest, we’re happy to hear from you.
Technical Environment
Requirements
Preferred Qualifications
Working Conditions
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