Machine Learning
Develops models that interpret sensor data and extract reliable, measurable tree structure at scale.
Join a global team working across technology, urban forestry and operations – building systems cities can use, trust, and act on.

You’ll work on the systems behind greehill Trees, from LiDAR-based data processing and digital twins to the workflows cities use to assess structure, condition, and change over time.
What gets built here has to perform at city scale and remain reliable in daily use.
That’s the standard we hold ourselves to and the one we’re looking for in everyone who joins.
Develops models that interpret sensor data and extract reliable, measurable tree structure at scale.
Designs the interfaces city teams use to review, update, and act on data in daily operations.
Builds and maintains the APIs and core services that keep workflows stable, fast, and secure.
Ensures data quality systematically so outputs hold up in real-world city conditions.

Transforms raw LiDAR into structured datasets prepared for review, export, and use.

Captures street-level data under real-world constraints - across routes, traffic, and terrains.
Shapes positioning and ensures consistency across regions, partners, and materials.
Verifies trees and their critical attributes through structured human review at scale.
Leads partnerships with cities and public stakeholders - from scoping to project coordination.

Explore current opportunities and reach out directly. If you don’t see an exact match, tell us anyway, we’re always open to hearing from people who care about this work.
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