The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, dryer fuels, and faster winds—new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires, so that they can quickly respond—preventing small flare-ups from becoming devastating infernos.
About Pano: Founded in 2020, Pano is building the world’s first fully-integrated disaster management platform focused on climate change resilience. Pano’s SaaS solution leverages advanced hardware, software, and artificial intelligence technologies to modernize the disaster preparedness industry. Pano Rapid Detect, the company’s first product, is already a leader in wildfire early detection and intelligence, with millions of dollars in revenue stretching across 4 states in the U.S. and 2 states in Australia. Our customers include PG&E, Portland General Electric, the Big Sky Montana Fire Department, and Southern Cross Forests.
Our team is composed of seasoned technology professionals from companies such as Cisco, Apple, and Nest. Headquartered in San Francisco with an office and factory in the Mission District, our hybrid team works from locations around the world. Founded in mid-2020, we’ve raised over $8M from leading VC funds and prominent angel investors, including the CEOs of Gitlab, HomeLight, and People.AI.
Pano is looking for an experienced Computer Vision (CV) expert to develop and execute Pano’s roadmap for our smoke detection CV model(s) for DayTime Panoramic Camera, NightTime IR Camera and Satellite Images. This individual is responsible for developing CV models for early detection of Fire/Smoke in different types of cameras (Panoramic, IR and Satellite), maintaining database of fire/smoke labels, working with labellers and data engineering for implementing Active Learning pipelines, preprocessing and postprocessing to reduce the FP and FN and adopt the models for different geographic locations/landscapes and weather conditions.
Ideal candidates have deep expertise in computer vision in Satellite, Infra-Red (IR)/Near Infra-Red (NIR) Camera, Thermal Camera and other sensors. This position is remote but company meetings are scheduled for the Pacific time zone. This individual will report to Pano’s Engineering Manager of ML.
Pano is an equal opportunity employer committed to recruiting and supporting our team-members regardless of where they come from. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Interested candidates should forward a resume or a link to your LinkedIn profile to ML_Hiring@pano.ai.