
Gaia AI is an MIT & Harvard startup using LiDAR, computer vision, and satellite data to collect high-quality biomass data in forests, helping land owners, project developers, and investors understand…

Gaia AI is an MIT & Harvard startup using LiDAR, computer vision, and satellite data to collect high-quality biomass data in forests, helping land owners, project developers, and investors understand…
What they do: Collect and analyze forest biomass using LiDAR, drones, satellite imagery and computer-vision models
Founded: 2022
Location: Somerville, Massachusetts, United States
Funding: $3.0M pre-seed (Dec 2022)
Lead investor: E14 Fund
Forest monitoring, carbon accounting, timber inventory and ecosystem-risk assessment
2022
Forestry and Logging
$3.0M
Participants included Ubiquity Ventures, Space Capital and SOSV's HAX
“Led by E14 Fund with participation from Ubiquity Ventures, Space Capital and SOSV's HAX”
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About Us
We are currently building our robotics team and hiring for a full-time, in-person robotics perception engineer / systems programmer with the ambition to help get things done. This is a great opportunity for someone who wants to apply their skills towards fighting climate change, wants to experience the high-pace, high-ownership setting of an early startup, and can start onboarding immediately or in the next few weeks.
Climate change is one of the most meaningful challenges of our generation, and every possible solution put forward by the United Nations IPCC requires scaled carbon sequestration. Forests are critical for this reason, but they need to be managed for a growing set of values including sustainable wood production, carbon, biodiversity, and wildfire risk mitigation. We are an MIT climatetech startup applying autonomous vehicle technology to solve this problem, utilizing cutting edge sensors and perception AI to build the modern tooling needed to manage forests with great accuracy and confidence.
Job brief
We are looking for a perception robotics engineer who is motivated in building high-impact technology that will make the world a better place. Responsibilities may range from implementing our vision data pipeline, training neural networks, working on LiDAR-based SLAM, evaluating different sensors, visualizing data in order to make decisions on how to improve the system, and sensor fusion between LiDAR, computer vision, and satellite imagery. You will work with the whole team and help everywhere you are willing and able. This is an opportunity to join a well-positioned, ambitious technology startup making a large impact fighting climate change.
Responsibilities (may include)
Requirements
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