Develop new vegetation intelligence products using geospatial Python and ML/DL techniques.
Maintain and improve existing products through data exploration and model optimization.
Lead projects end-to-end, from planning through delivery, and communicate value to stakeholders.
The company uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation risks. The team spans the Americas and Europe, fostering a mission-driven culture.
Build, adapt, and operationalize ML models to estimate forest structure from remote sensing data.
Integrate trained models into automated production pipelines and maintain surrounding data infrastructure.
Contribute to scientific manuscripts and serve as a cross-team link between SciDev and Data Engineering.
Vibrant Planet is a team of leaders in fire science, applied science, forestry, policy, and tech that uses a cloud-based AI-driven platform to lower wildfire risk. The company is backed by climate and resilience leaders and values an inclusive, equitable work environment.
Analyze project maps, plans, and data sets to summarize wildfire conditions for reports and management plans.
Conduct field assessments to evaluate wildfire and evacuation hazard conditions.
Prepare or support preparation of fire protection plans and technical reports with hazard reduction recommendations.
Dudek is a 100% employee-owned environmental consulting firm that supports clients nationwide with projects improving built and natural environments. The company has been recognized with multiple national Top Workplace Awards and fosters a culture of accountability, collaboration, and innovation.
Assist in developing computer vision models for wildfire detection and environmental monitoring.
Help implement and maintain ML/CV pipelines and deploy models on NVIDIA Jetson edge platforms.
Collaborate with AI researchers, software engineers, and product teams to optimize and document solutions.
Pano AI is the leader in AI-powered wildfire detection and intelligence, helping fire professionals detect, respond to, and contain wildfires faster and more safely. We are a team of more than 175 people working in a hybrid-remote environment across North America and Australia, with headquarters in San Francisco.
Design, develop, and improve machine learning solutions leveraging geospatial data for environmental intelligence products.
Work with satellite and aerial imagery, raster and vector datasets, and geospatial workflows to solve real-world challenges.
Lead technical projects from planning through implementation, collaborating with multidisciplinary teams.
They develop advanced AI solutions that transform satellite and environmental data into actionable insights for critical infrastructure. They are a fast-growing company with an inclusive, mission-driven culture focused on climate technology.