The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfireswith longer fire seasons dryer fuels and faster windsnew 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 respondpreventing small flareups from becoming devastating infernos.
About Pano: Pano AI is a 90person growth stage startup headquartered in San Francisco that is the leader in early wildfire detection and intelligence helping fire professionals respond to fires faster and more safelywith the right equipment timely information and enhanced coordinationso that they can stop a new ignition before it grows. Pano AI combines advanced hardware software and artificial intelligence into an easytouse webbased platform. Leveraging a network of ultrahighdefinition 360degree cameras atop high vantage points as well as satellite and other data feeds Pano AI produces a realtime picture of threats in a geographic region and delivers immediate actionable intelligence.
We are seeking a director or an experienced manager to lead the AI / Perception Team responsible for developing and improving our computer visionbased fire detection and localization systems. This team is core to the Pano Rapid Detect product that detects wildfires in real time. This leader will drive a range of research and development initiatives to support improving KPIs related to our core product as well as developing AI Computer Vision and satellite models for a range of new applications. The ideal candidate will have a strong background in computer vision machine learning and team leadership.
What youll do
Lead a team of computer vision engineers and AI researchers working on fire detection and geolocation algorithms.
Establish performance metrics and testing protocols to evaluate system accuracy reliability and latency.
Work with product management and the labeling team to collect annotate and curate diverse fire imagery datasets across various environmental conditions.
Develop and improve methods for spatial reasoning improving the speed and accuracy of geolocation algorithms.
Coordinate with product management and managers of the Pano Intelligence Center to ensure that the endtoend detection and localization process is effective.
Stay current with stateoftheart research in computer vision particularly in detection of anomalies in natural environments.
Write industry whitepapers showcasing the customer benefits of our key technical systems.
What youll bring
PhD with focus on computer vision or machine learning or a Masters combined with experience in applied research.
7 years of industry experience in AI research and development with at least 3 years specifically focused on computer vision.
At least 5 years in a leadership role.
Experience selecting and driving applied research projects to impact key metrics like detection time and location accuracy.
Experience with deep learning frameworks (PyTorch TensorFlow) and common computer vision libraries (OpenCV).
Preferred Skills
Experience with 3D computervision and geometry related problems.
Experience with geospatial data processing systems / GIS.
Experience with satellite data / remote sensing
$214000 $285000 a year
Final salary offered is based upon multiple factors including individual jobrelated qualifications education experience knowledge skills and location. In addition to salary this position is also eligible for stock options. We offer comprehensive medical dental and vision insurance unlimited paid time off and matching 401k.
Pano is an equal opportunity employer committed to recruiting and supporting our teammembers 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.
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