Pano AI · 3 weeks ago
Computer Vision Applied Scientist
Pano AI is a growth-stage hybrid-remote start-up focused on early wildfire detection and intelligence. The Computer Vision Applied Scientist will develop and deploy deep learning models to detect, classify, and track wildfires using advanced computer vision techniques and geospatial algorithms.
Artificial Intelligence (AI)HardwarePublic SafetySoftware
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
Qualification
Required
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
Preferred
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
Comprehensive medical, dental, and vision coverage
A matching 401(k) plan
Unlimited paid time off
Company
Pano AI
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.
H1B Sponsorship
Pano AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$89MKey Investors
Valor Equity PartnersInitialized Capital
2025-06-16Series B· $44M
2023-07-10Series A· $17M
2022-09-19Series A· $20M
Recent News
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