[Remote] Computer Vision Applied Scientist

Note: The job is a remote job and is open to candidates in USA. Pano AI is a growth-stage hybrid-remote start-up focused on early wildfire detection and intelligence. The Computer Vision Applied Scientist will build and deploy deep learning models to detect and track wildfires using data from cameras and satellites, while collaborating with platform engineers to develop innovative solutions. Responsibilities • Developing smart geospatial algorithms for real-time awareness and predicting environmental risks from cameras and satellites. • Owning the deep learning models that understand environments, tell the difference between wildfires and other fires, pinpoint fires in 3D, and predict how they'll spread. • Constantly making our models and MLOps better, combining different sensor data, and using our existing domain knowledge to improve performance and real-time processing. • Working closely with the AI and platform teams to deliver awesome solutions for Pano's customers. • Showing off Pano AI's tech with solid real-world performance numbers. Skills • A PhD or MS in Computer Science, Electrical Engineering, Robotics, or related field, with a focus on computer vision, 3D perception, or geospatial AI. • At least 2 years of industry experience in computer vision, foundational vision model, and multi-modal LLM. • Strong Python coding skills, especially with PyTorch. • Experience working with geospatial data, GIS, or remote sensing. • Experience working with cloud systems. • Excellent communication skills. • Publications in top-tier vision or ML conferences. Benefits • Stock options • Comprehensive medical, dental, and vision insurance • A matching 401(k) plan • Unlimited paid time off Company Overview • Pano AI (Pano) is the leader in early wildfire detection and intelligence, providing government, utilities, insurers, and private landowners with advanced tools and realtime situational awareness to quickly mitigate wildfire threats while protecting lives, property, and the environment. It was founded in 2019, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship • Pano AI has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2023. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job