Sylvera - Applied Scientist – Forest Lidar & 3D ML
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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 • Cares deeply about the climate and ecosystems of the earth. • 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. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description.
Responsibilities
• Developing, training, and deploying 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. • Translating experimental ML research into robust, reproducible code, working closely with our production engineering team to deploy models at scale. • Collaborating with our field teams and scientists to ensure model outputs align with biological reality and accurately capture complex forest structures. • Taking full ownership of an open applied research problem — scoping, prototyping, and iterating quickly to find solutions where no guaranteed blueprint exists. • Working in the lidar team to improve existing data products and methods to more efficiently undertake existing and ongoing manual segmentation and quality assurance. • And beyond segmentation, working with the wider EA team to solve other complex technical challenges involving point cloud and geospatial data, for example including retrieval of metrics characterising forest structure from high-density aerial lidar, forest carbon modeling, uncertainty quantification and automated tree species recognition.
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 • Location 🌍 • London, Old Street. We work flexibly but encourage people to come to the office regularly, especially for 1-2-1, retros and divisional meetings. • Our values 🙌 • Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. • Own it: • Stay curious: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. • Stay curious: • Do what’s right - even when it’s hard: We keep our focus on the long-term, even if that means short-term challenges. • Do what’s right - even when it’s hard: • Collaborate with empathy: Our teams deliver through active collaboration. We invest in each others’ success and make the company stronger in the long-run. • Collaborate with empathy: • Empower Customers - Make extraordinary efforts to exceed our customer expectations. If we’re serving our customers to the fullest, we can help direct more investment into real climate impact. • Empower Customers • What if you’re a partial fit? 🌱 • We prioritise grit and positivity and encourage you to apply even if your experience doesn't exactly match this job description. • Equal employment opportunity 🌈
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