Full TimeENEurope
Cities are living systems - and trees are some of their most valuable assets. At greehill, we’re building the world’s most detailed digital twins of urban forests, mapping every individual tree in a city in 2D, 3D, and beyond.
By combining cutting-edge laser scanning, AI, and machine learning, we give cities the insights they need to maintain, protect, and grow their green infrastructure. The result? Smarter operations, healthier citizens, and cities that are more resilient to climate change.
We’re helping redefine what “smart cities” really means - and we’re doing it globally, with teams in Budapest (HQ & R&D), Singapore, Hannover, San Diego or Paris.
You’ll be a core contributor to the engine behind our platform, working on systems that process massive, complex datasets and turn them into real-world impact.
Design and write clean, scalable Python code to solve challenging, real-world problems
Build and maintain APIs and data pipelines using FastAPI, SQLAlchemy, and Pandas
Support and integrate machine-learning workflows into production systems
Store, process, and optimize 2D, 3D, and GIS data at city scale
Collaborate closely with data scientists, ML engineers, and product teams
Strong Python skills and solid algorithmic thinking
A team-first mindset and comfort working in a collaborative, fast-moving environment
Curiosity, ownership, and a problem-solving attitude
Experience working with urban, geospatial, or spatial data
Familiarity with Docker, Kubernetes, and cloud platforms
Previous experience in a startup or scale-up environment
Make a direct impact on climate adaptation and the future of cities through technology that actually gets used
Work on meaningful, real-world problems at the intersection of AI, sustainability, and urban tech
Join a fast-growing, international team with real freedom to shape both the product and your role
Learn, experiment, and grow with talented, curious (green-)tech experts who genuinely care about what they build
Develop yourself continuously with access to LinkedIn Learning and hands-on learning every day
How we work – We believe the best ideas happen when people spend time together. That’s why we work 4 days a week from the office, with 1 day from home, creating space for collaboration while still keeping some freedom.
