FULL STACK ENGINEERING INTERN

STATION F; Paris; Hybride; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A venture-backed deeptech company is seeking a Full Stack Engineering Intern to contribute to the development of its AI-driven platform for managing forest health. This role involves working alongside senior engineers to build and maintain backend and frontend components of the application. Candidates should be pursuing a degree in Computer Science or related fields, possess experience in full stack development, and be familiar with JavaScript/TypeScript and React. The internship is based at Europe's largest startup campus, Station F.

Prestations

Hands-on experience in a real-world environment

Mentorship from senior engineers

Contribution to meaningful climate initiatives

Qualifications

• Currently pursuing or recently completed a degree in Computer Science or related field.
• First hands-on experience in full stack development.
• Familiarity with JavaScript/TypeScript and modern frontend frameworks.

Responsabilités

• Contribute to backend and frontend development under guidance of senior engineers.
• Assist in integrating geospatial, remote sensing, or ML outputs into applications.
• Help build and improve web interfaces using React and TypeScript.

Connaissances

Full stack development

JavaScript / TypeScript

React

APIs

SQL

Formation

Degree in Computer Science, Software Engineering, or related

Outils

PostgreSQL

Docker

Kubernetes

Description du poste

About

🌱 Symbiose is a venture-backed deeptech company at the crossroads of space-tech and nature-tech, pioneering the use of AI, remote sensing, and High‑Performance Computing (HPC) to transform how forests are monitored, managed, and valued.

By fusing diverse Earth Observation data, from hyperspectral, LiDAR, radar, and optical imagery, Symbiose delivers precise, real‑time insights into forest health, carbon dynamics, and climate resilience. Our AI‑driven platform empowers forest owners, investors, and insurers with actionable intelligence to accelerate FSC certification, enhance transparency, and drive a nature‑positive economy.

Our Mission Is Simple But Ambitious

👉 Make forest data actionable to protect biodiversity enhance carbon capture, and make sustainable forestry the new norm.

Why join us?

At Symbiose, you’ll join a passionate team working at the intersection of AI for good and climate innovation.

You’ll have the freedom to experiment, the space to grow, and a direct impact on how forests are managed globally.

🌍 Purpose‑driven mission: your work contributes directly to forest conservation and climate resilience.

💡 Deep tech + impact: applied AI, geospatial analytics, and environmental modeling.

🤝 Collaborative culture: open‑minded, curious, and committed to real‑world change.

🪴 Based at Station F: Europe’s largest startup campus, surrounded by top innovators.

🔎 What we’re looking for

We’re always on the lookout for bold thinkers and builders, people who thrive at the frontier of technology and ecology.

Whether your background is in machine learning, remote sensing, data engineering, forestry, or business development, if you care about the planet and cutting‑edge innovation, you’ll fit right in.

Job Description

We are looking for a Full Stack Engineering Intern to contribute to the development of the Symbiose Platform, our customer‑facing application that brings deep environmental intelligence to users.

As an intern, you will work alongside senior engineers, remote sensing specialists, and data scientists to help build, improve, and maintain both backend and frontend components of the platform. This internship is designed to provide strong hands‑on exposure to modern full stack development in a real‑world deeptech environment.

You will be supported and mentored while progressively taking ownership of well‑scoped technical tasks, contributing directly to production features. Together, we will transform cutting‑edge research into real‑world, user‑ready solutions.

Key Responsibilities

• Contribute to backend and frontend development under the guidance of senior engineers.
• Assist in integrating geospatial, remote sensing, or ML outputs into APIs and web applications.
• Participate in the development and maintenance of data pipelines and ETL workflows.
• Help build and improve web interfaces using React and TypeScript.
• Support the integration of geospatial visualization tools (e.g., Mapbox GL or equivalent).
• Write clean, well‑documented, and tested code.
• Participate in code reviews, QA testing, and agile development cycles.
• Learn and apply best practices in cloud‑native and scalable software development.

Qualifications

Preferred Experience

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Data Engineering, or a related field.
• First hands‑on experience (academic or personal projects) in full stack development
• Familiarity with JavaScript / TypeScript and modern frontend frameworks (React preferred).
• Basic understanding of backend development concepts (APIs, databases).
• Exposure to SQL and relational databases (PostgreSQL is a plus).
• Comfortable working in English in a technical environment.

Nice to Have

• Experience with Python.
• Interest in geospatial data, remote sensing, or climate tech.
• Familiarity with Docker, cloud platforms, or Kubernetes (even at a basic level).
• Experience with maps, data visualization, or geospatial libraries.
• Personal projects, GitHub repositories, or open‑source contributions.

Soft Skills

• Curious and eager to learn in a fast‑paced technical environment.
• Structured, detail‑oriented, and motivated to write quality code
• Proactive mindset and willingness to ask questions.
• Strong team spirit and interest in interdisciplinary challenges.

Recruitment Process

• Step 1: 30‑minute screening call with our People team
• Step 2: Take‑home case study
• Step 3: Feedback & culture‑fit interview
• Step 4: Onboarding at Station F 🚀

We’re a fast‑moving startup —> the whole process takes no more than two weeks!

Additional Information

• Contract Type: Internship (Between 6 and 6 months)
• Location: Paris
• Possible partial remote