Software Engineer, Pano AI

• If you're self-motivated, passionate about technological innovation with purpose, and ready to apply your skills to protect our natural world, this is your opportunity to make a tangible difference in the fight against climate change
• 5+ years of software engineering experience plus a BS in Computer Science or equivalent
• 3+ years of experience programming in Python
• 2+ years of experience with AI frameworks, like PyTorch
• 2+ years of experience working with relational databases (e.g. PostgreSQL)

Desirable

• Join our elite data platform team on the frontlines of environmental protection! As our AI Platform Engineer, you'll architect cutting-edge systems that harness the power of artificial intelligence to detect wildfires before they become catastrophic
• Imagine building technology that scans mountains and forests from above, processing vast streams of data from remote cameras and satellites to spot the first wisps of smoke or flickers of flame
• Your code won't just run on servers—it will save homes, forests, and lives
• You'll tackle the challenge of managing diverse data ecosystems—from intricate structured datasets to massive image repositories capturing our planet's vulnerable landscapes
• Working alongside brilliant AI engineers and platform architects, you'll create revolutionary software solutions that transform how we address one of humanity's most urgent environmental threats
• Every algorithm you optimize and every system you enhance directly strengthens our planet's defense network against devastating wildfires. In our dynamic, agile environment, you'll balance the thrill of developing groundbreaking features with the craftsmanship of refining our core technical infrastructure
• Build and manage tools to accelerate AI model inference, training, and validation
• Develop internal tools for managing key internal processes, including dataset creation, data management (e.g. video creation), and results evaluation
• Develop models that general panoramic images from a series of camera images and provide mappings forward and backward between these two domains
• Develop methods to map AI predictions to other data sources utilizing geometric transforms and artificial intelligence
• Enable Pano to scale AI detection by focusing on the overall system lifecycle, including monitoring and improving system reliability and optimizing for platform costs