Computer Vision Applied Scientist
About Pano AI
Pano AI is a growth-stage hybrid-remote startup (130+ employees) headquartered in San Francisco. We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely. We combine advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence.
Pano AI has been recognized by:
- TIME as one of the 100 Most Influential Companies of 2025
- MIT Technology Review as one of the top 15 climate tech companies to watch in 2024
- Fast Company as one of the Top 10 most innovative companies in AI of 2023
- Featured in the Wall Street Journal, Bloomberg, and CNBC News.
Pano AI's customers span 16 states in the U.S., five states in Australia, and BC, Canada, and we are currently monitoring over 30 million acres of land. Pano AI has raised $89M in venture capital funding from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at https://www.pano.ai/.
The Role
The Computer Vision Applied Scientist will be part of the AI team that builds and deploys deep learning models to find, classify, locate, and track wildfires from cameras and satellites. You will be working on computer vision, foundational vision model, multi-modal LLM, sensor fusion, 3D localization, and understanding scenes. You'll work with platform engineers to create new software to help with this huge environmental challenge. As a self-motivated and enthusiastic member of our team, you will work in an agile environment and balance developing critical new features with improving the core technical underpinnings of our system.
What You'll Do
- Develop smart geospatial algorithms for real-time awareness and predicting environmental risks from cameras and satellites.
- Own 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 improve our models and MLOps, combining different sensor data, and using our existing domain knowledge to improve performance and real-time processing.
- Work closely with the AI and platform teams to deliver awesome solutions for Pano's customers.
- Show off Pano AI's tech with solid real-world performance numbers.
What You'll Bring
- 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 Skills
- 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.
Compensation
- Salary: $133,000 - $167,000 per year
- Final salary offered is based upon multiple factors, including individual job-related qualifications, education, experience, knowledge, skills and location.
- In addition to salary, this position is also eligible for stock options.
- We offer comprehensive health insurance, paid time off, and 401k.
Equal Opportunity Employer
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.