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**Apply here!

Please note** - this is a paid, full-time internship where you must be physically present in Paris, France.

We are only able to consider applicants who already have EU work authorization.

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🌍 about the company

<aside> 🌱 Our mission at Versant is to accelerate biodiversity restoration through technology. We support developers of infrastructure projects that impact biodiversity, in their obligations to protect and restore local ecosystems.

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🤔 who are we?

The co-founders Luc and Martin met during an entrepreneurship program called Antler in Paris. Their complimentary backgrounds and impact-driven entrepreneurial spirit were a perfect match to work together. We are also supported by Greta, our Lead Ecologist, who heads science initiatives. You can find out more on our Team Page!

🗺️ where are we & where are we going?

We have validated our go-to-market and have our first customers, showing early product-market fit. We have achieved this through rigorous research in ecology and remote sensing, and the development of a strategic science advisory board.

We are now solidifying our product and seek to scale it, as well as our sales funnel, to onboard more clients to become a reference in our first market segment.

🧑‍💼 the position

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📍 Location: Climate House, Paris (Hybrid)

💼 Job Type: Internship

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We are seeking our first full-time engineering intern to build tools to help project developers identify land for biodiversity restoration projects.

As our intern, you will integrate directly within our small team and have the autonomy to build what needs to be built to accomplish our goals. This means you won’t get a special “side project”, you will directly integrate within our engineering team and have the chance to make a big difference from day one.

You may be tasked with things such as integrating LLMs into our processing of client information, implementing a computer vision system to identify habitat types, creating a prototype frontend to deliver our results to our clients more efficiently, or even reworking some of the infrastructure that powers our codebase.

🤺 qualifications

Skills and qualities you’ll need to succeed:

<aside> 🤗 Please keep in mind this is the ideal candidate, and we still encourage you to apply if you don’t meet all of the qualifications!

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  1. You exhibit our values
    1. Notably, you have a bias-for-action mindset, delivering results in minimum viable product format, while still trying to minimize the amount of spaghetti code (tech debt) created.
  2. You have the technical skills
    1. Experience and proficiency in programming in Python. You don’t need to be an expert, but you need to know how to use the language.
    2. Experience with modern software engineering practices such as object oriented programming, how to open pull requests, and how to integrate feedback and changes in your code.
    3. Let’s be transparent... It’s 2025 — you use ChatGPT or other LLM tools to code, but you use them to augment how you work- not replace your brain. They are there as a tool to be directed by your brain, not vice versa!
  3. You’re early in your career, but you still have some experience
    1. You should have some previous experience working with big codebases either through previous work at a company, through contributing to open source, or working on a big group project or with a lab that shares code.
    2. This would be an ideal position for an end-of-study internship as required for a French engineering masters degree.

Logistical requirements make it only possible to hire someone with the following qualifications:

⭐ what we can offer you

<aside> ❗ Impact. Both on the company-level and mission-level. You will join the company at a very early stage and will be able to help shape how we are developing our tech. We want you to

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<aside> 💪🏼 A flexible working policy. As we are so early in our journey, we must bias towards working together under the same roof; but this doesn’t mean this needs to be all the time.

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<aside> 🤖 Autonomy. We will work together to set up goals for you to accomplish and metrics to track how the goals are doing. Through this, we build a culture of trust and transparency in how your work is getting done and give you space to do your best work. This is how the whole team operates.

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