About the role

We’re looking for a mission‑driven Applied Scientist – forest lidar & 3D ML to join our Earth Analytics (EA) team. In this role, you will principally address a fundamental research challenge within a high‑impact commercial setting: automating the segmentation of individual trees from complex terrestrial laser scanning (TLS) point clouds. This work will directly impact and power Sylvera’s Biomass Atlas product, which is becoming widely adopted for carbon accounting applications throughout carbon markets. You will have exclusive access to our world‑leading ground‑truth, labeled dataset of 3D forest point clouds collected from forests around the world.

Responsibilities

• Develop, train, and deploy 3D deep learning models (e.g., sparse convolutions, PointNet, TreeLearn or other similar architectures) to automate tree instance segmentation and Quantitative Structure Model (QSM) generation.
• Translate experimental ML research into...