Applied Scientist – Forest Lidar & 3D ML

What is Sylvera anyway? Sylvera helps organisations make confident decisions in carbon and commodity markets. We independently assess the quality of carbon projects, track market pricing and supply signals, and provide geospatial and carbon intensity data — giving our clients the clarity they need to invest in real climate action. We're a team of 130+ scientists, engineers, and market experts based across London, New York, São Paulo, Singapore, and Tokyo. Our work spans market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis. We partner with governments and policymakers to raise the bar for transparency and rigour across carbon markets. Backed by over $96 million from investors including Fidelity, Balderton Capital, Index Ventures, and Insight Partners, we're trusted by Fortune 500 companies, major financial institutions, and governments worldwide. If you care about climate, enjoy solving hard problems, and want to work with people who take the mission seriously — we'd love to hear from you.

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 be tackling 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 unique Biomass Atlas product, which itself is becoming widely adopted for carbon accounting applications throughout carbon markets. To drive this breakthrough, you will have exclusive access to our world leading ground-truth, labeled dataset of 3D forest point clouds collected from forests around the world.

Job requirements: Has deep expertise in 3D point cloud processing and machine learning applied to 3D spatial data. Is highly proficient in Python and the modern spatial/lidar software stack (e.g., PDAL, laspy, Open3D). Brings domain knowledge in forest ecology. Is a self-starter who thrives in constantly evolving environments, ideally with early-stage experience. We’d like someone highly ambitious, motivated and eager to propel their career forward.

Benefits: - Equity in a rapidly growing startup - Private Health Insurance and Life Assurance - Unlimited annual leave - and encouragement to actually use it! - Enhanced parental leave - Up to 20 days paid sick leave - No corners cut in having the best tech to do your job - Access to Mental Health support - Monthly team socials