Machine Learning Research Engineer
RoboflowFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
Pano AI is a hybrid-remote startup, headquartered in San Francisco, suggesting a mix of remote and in-office work.
This information is not specified in the job description.
The role requires expertise in computer vision, developing algorithms for detection, localization, and monitoring from cameras and satellite images, as well as systems for camera capture, localization, visualization, and geometric understanding.
Pano AI fosters an agile environment where self-motivated team members balance developing new features with improving core technical systems, within a 130+ person growth-stage startup focused on impactful wildfire detection.
Strong candidates are self-motivated, enthusiastic, and able to work on the intersection of terrestrial camera and geospatial data, owning software algorithms while collaborating with platform engineers in an agile setting.
AI-powered wildfire detection platform
Pano.ai specializes in fire detection and prevention through its platform, Pano Rapid Detect, which uses artificial intelligence and advanced visual technology to identify wildfires at their earliest stages. The system integrates data from ultra-high-definition cameras, geo satellite data, and field sensors, providing fire professionals with real-time information to enhance their response efforts. Pano.ai stands out by combining multiple data sources and advanced technology, offering a comprehensive solution for fire departments and first responders. The company's goal is to improve wildfire detection and response capabilities, ultimately reducing the impact of wildfires on communities.