Computer Vision Applied Scientist
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Job Location:
Toronto, OH - USA
Monthly Salary:
USD 401 - 401
Posted on:
20 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
Who we are
The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfireswith longer fire seasons drier 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 flare-ups from becoming devastating infernos.
About Pano: We are a 130 person growth-stage hybrid-remote start-up headquartered in San Francisco. We are 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 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 is on TIMEs list of the 100 Most Influential Companies of 2025! MIT Technology Review listed Pano as one of the top 15 climate tech companies to watch in 2024 and Fast Company named Pano AI one of the Top 10 most innovative companies in AI of 2023. Weve also been featured in the Wall Street Journal Bloomberg and CNBC News. Pano AIs dozens of government and enterprise 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
The Role
The Computer Vision Applied Scientist will be a 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. Youll 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 youll do
- 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 theyll 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 Panos customers.
- Showing off Pano AIs tech with solid real-world performance numbers.
What youll 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.
$133000 - $167000 a year
Final salary offered is based upon multiple factors including individual job-related qualifications education experience knowledge skills and addition to salary this position is also eligible for stock options. We offer comprehensive health insurance paid time off and 401k.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Improve wildfire & bushfire response with Pano's early detection & intelligence system. Equip first responders with data for faster, safer coordinated action.
