REMOTE SENSING ENGINEER – FORESTRY

Join to apply for the REMOTE SENSING ENGINEER – FORESTRY role at STATION F Get AI-powered advice on this job and more exclusive features. 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—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. Job Description Role Overview We are seeking a Remote Sensing Engineer – Forestry to join our team. As a specialist in remote sensing applied to forestry, you will focus on integrating and exploiting multi‑source EO datasets (satellite, LiDAR, hyperspectral, radar) to deliver cutting‑edge insights into forest ecosystems. Your mission will include detecting tree species, estimating biomass and carbon, and analysing forest vulnerability to fires, pests, diseases, and storms. You will also advance and calibrate forest growth models, bridging EO technology with ecological expertise. Key Responsibilities Design, build, and maintain ETL pipelines for large‑scale geospatial and non‑geospatial data. Process, analyse, and fuse EO datasets (Sentinel, Pléiades Néo, GEDI LiDAR, hyperspectral, radar). Develop algorithms for forest mapping, including species classification, canopy height models, biomass/carbon estimation, and volume modelling. Detect and monitor anomalies such as fire events, drought stress, and pest outbreaks. Support product development for FSC/PEFC certification, carbon/biodiversity valuation, and forest pricing. Develop and maintain data processing workflows using tools like Airflow and Docker/Kubernetes. Collaborate with domain experts to support advanced analytics (climate risk modelling, fire monitoring, …). Contribute to the design and deployment of geospatial APIs and services. Document methods, maintain reproducibility, and ensure scalability of workflows. Preferred Experience Background in forestry analysis, climate risk, wildfire analysis, or environmental monitoring. Experience with open‑source geospatial frameworks (GDAL, PDAL, OGC standards). Experience with geospatial databases (PostGIS, DuckDB, SedonaDB, …) ensuring high performance for spatial queries and analytics. Experience with managing LiDAR & High‑Resolution data (Petabytes) and High‑Performance Computing (HPC). Familiarity with containerisation and pipeline orchestration (Docker, Airflow, Kubernetes). Exposure to national/international forest datasets. Soft Skills Autonomous, rigorous, and scientifically minded. Ability to communicate complex results clearly to technical and non‑technical audiences. Strong team spirit, open to interdisciplinary collaboration. Curious and proactive in exploring innovative approaches to forestry 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 🚀 Additional Information Contract Type: Full‑Time Location: Paris (possible partial remote) Seniority level: Entry level Employment type: Contract Job function: Engineering and Information Technology Industries: Technology, Information and Internet Referrals increase your chances of interviewing at STATION F by 2x. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. Get notified about new Engineer jobs in Paris, Île‑de‑France, France. #J-18808-Ljbffr