FULL STACK ENGINEERING INTERN
About Symbiose
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 (hyperspectral, LiDAR, radar, 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
Make forest data actionable to protect biodiversity, enhance carbon capture, and make sustainable forestry the new norm.
Why Join Us
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. Your work contributes directly to forest conservation and climate resilience. We focus on deep tech, real‑world change, and an open‑mind, collaborative culture. Plans are based at Station F, Europe’s largest startup campus.
What We’re Looking For
We’re always on the lookout for bold thinkers and builders. 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
Role Overview
Full Stack Engineering Intern to contribute to the development of the Symbiose Platform, a customer‑facing application that brings deep environmental intelligence to users. Interns work alongside senior engineers, remote sensing specialists, and data scientists to build, improve, and maintain both backend and frontend components. The internship provides strong hands‑on exposure to modern full‑stack development in a deep‑tech environment.
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
- Currently pursuing or recently completed a degree in Computer Science, Software Engineering, Data Engineering, or a related field.
- Hands‑on experience in full‑stack development (academic or personal projects).
- 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 (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
- 30‑minute screening call with our People team.
- Take‑home case study.
- Feedback & culture‑fit interview.
- Onboarding at Station F.
Additional Information
- Contract type: Internship (6 months).
- Location: Paris, possible partial remote.