Job Description
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Sylvera is scaling carbon markets with software. We do this by applying advanced machine learning techniques to satellite data to quantify with unprecedented accuracy the amount of carbon stored in landscapes - and then we visualise that data to our customers.
We believe the transparency Sylvera provides will enable carbon markets to have a more positive impact on the world in a shorter space of time. This will be critical in keeping the planet under 2C of warming and provide huge wider benefits to nature and society.
Founded in 2020, Sylvera has now scaled to over 100+ employees across the world and has raised over $30m from leading VCs like Index Ventures and Insight Partners.
We're on a super steep trajectory over the next couple of years - we want incredible people that are as passionate as we are about the mission and want to build an amazing organisation with us to achieve it.
Having found early product-market fit in a nascent, rapidly growing space, we’re now scaling our Machine Learning team at pace. We’re looking for a mission-driven engineer to join our cross-functional machine learning team. Specific Responsibilities will include:
- Working on high-impact projects and innovate new solutions to problems in the earth observation space and machine learning
- Working closely with machine learning and remote sensing engineers to process data from various satellite sources
- Developing cutting-edge machine learning classifiers, models and algorithms operating on remote sensing data
We’re looking for someone who:
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