Machine Learning
Develops models that interpret sensor data and extract reliable, measurable tree structure at scale.
CAREERS
Where machine learning meets the real world
Join a global team working at the intersection of AI and city infrastructure – turning complex data into decisions that shape safer, more resilient cities.
What you’ll work on
Machine learning at greehill is applied, not theoretical. It’s tied to real signals: structural signals, species patterns, change over time, and priorization across city-wide maintenance cycles.
We build technology that connects data to accountable action – designed to stay reliable, usable, and relevant year after year.
Teams
App Development
Designs the interfaces city teams use to review, update, and act on data in daily operations.
Backend
Builds and maintains the APIs and core services that keep workflows stable, fast, and secure.
Quality Control (QC)
Ensures data quality systematically so outputs hold up in real-world city conditions.
Field Data Processing
Transforms raw LiDAR into structured datasets prepared for review, export, and use.
Navigation (Field Operations)
Captures street-level data under real-world constraints - across routes, traffic, and terrain.
Communication & Marketing
Shapes positioning and ensures consistency across regions, partners, and materials.
Validation
Verifies trees and critical attributes through structured human review at scale.
Business Development
Leads partnerships with cities and public stakeholders - from scoping to project coordination.
Open positions
Explore current opportunities and reach out directly.