<div><span style="font-size:21.3333px;">Who we are</span></div><div><br></div><div><span style="font-size:10pt;"><b>The problem:</b> Every minute matters in fire response.  As climate change amplifies the intensity of wildfires—with longer fire seasons, drier fuels, and faster winds—new 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 respond—preventing small flare-ups from becoming devastating infernos. </span></div><div><br></div><div><span style="font-size:10pt;"><b>About Pano: </b>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 safely—with the right equipment, timely information, and enhanced coordination—so 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. </span></div><div><br></div><div><span style="font-size:10pt;">Pano AI is on</span><a style="font-size:10pt;" href="https://www.linkedin.com/company/time/"> TIME</a><span style="font-size:10pt;">'s list of the</span><a style="font-size:10pt;" href="https://time.com/collections/time100-companies-2025/7289577/pano-ai/"> 100 Most Influential Companies of 2025!</a><span style="font-size:10pt;"> MIT Technology Review listed Pano as one of the</span><a style="font-size:10pt;" href="https://www.technologyreview.com/2024/10/01/1104375/2024-climate-tech-companies-pano-ai-fire-detecting-ai/"> top 15 climate tech companies to watch</a><span style="font-size:10pt;"> in 2024, and Fast Company named Pano AI one of the</span><a style="font-size:10pt;" href="https://www.fastcompany.com/90846670/most-innovative-companies-artificial-intelligence-2023"> Top 10 most innovative companies in AI of 2023</a><span style="font-size:10pt;">. We’ve also been featured in the</span><a style="font-size:10pt;" href="https://www.wsj.com/articles/ai-wildfire-detection-startup-raises-44-million-2d662b00?mod=venture-capital_feat1_new-money_pos1"> Wall Street Journal</a><span style="font-size:10pt;">,</span><a style="font-size:10pt;" href="https://www.bloomberg.com/news/articles/2025-01-21/la-fires-bolster-investment-case-for-climate-adaptation-technology"> Bloomberg</a><span style="font-size:10pt;">,</span><a style="font-size:10pt;" href="https://www.cnbc.com/video/2024/11/18/ai-helping-to-fight-wildfires.html"> and CNBC News</a><span style="font-size:10pt;">.  Pano AI’s 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</span><a style="font-size:10pt;" href="https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/07/10/pano-series-a-extension/amp/"> $89M in venture capital funding</a><span style="font-size:10pt;"> from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at</span><a style="font-size:10pt;" href="https://www.pano.ai/"> https://www.pano.ai/</a><span style="font-size:10pt;">.  </span></div><div><br></div><div><br></div><div><br></div><div><span style="font-size:16pt;">The Role </span></div><div><br></div><div><span style="font-size:10pt;">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. 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.</span></div><br><br><h3>What you’ll do</h3><ul><li>Developing smart geospatial algorithms for real-time awareness and predicting environmental risks from cameras and satellites.</li><li>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.</li><li>Constantly making our models and MLOps better, combining different sensor data, and using our existing domain knowledge to improve performance and real-time processing.</li><li>Working closely with the AI and platform teams to deliver awesome solutions for Pano's customers.</li><li>Showing off Pano AI's tech with solid real-world performance numbers.</li></ul><h3>What you’ll bring</h3><ul><li>A PhD or MS in Computer Science, Electrical Engineering, Robotics, or related field, with a focus on computer vision, 3D perception, or geospatial AI.</li><li>At least 2 years of industry experience in computer vision, foundational vision model,  and multi-modal <a href="http://LLM.Strong">LLM.</a></li><li>Strong Python coding skills, especially with PyTorch.</li></ul><h3>Preferred skills</h3><ul><li>Experience working with geospatial data, GIS, or remote sensing.</li><li>Experience working with cloud systems.</li><li>Excellent communication skills.</li><li>Publications in top-tier vision or ML conferences.</li></ul><br><div>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.</div>

<p><strong>About Pano</strong><span style="font-weight: 400;">: Founded in 2020, </span><a href="https://www.pano.ai/"><span style="font-weight: 400;">Pano</span></a><span style="font-weight: 400;"> is building the world&rsquo;s first fully-integrated disaster management platform focused on climate change resilience. Pano&rsquo;s SaaS solution leverages advanced hardware, software, and artificial intelligence technologies to modernize the disaster preparedness industry. Pano Rapid Detect, the company&rsquo;s first product, is already a leader in wildfire early detection and intelligence, with millions of dollars in revenue&nbsp; stretching across 4 states in the U.S. and 2 states in Australia. </span></p>
<p><span style="font-weight: 400;">Our customers include PG&amp;E, Portland General Electric, the Big Sky Montana Fire Department, and Southern Cross Forests.Our team is composed of seasoned technology professionals from companies such as Cisco, Apple, and Nest. Headquartered in San Francisco with an office and factory in the Mission District, our hybrid team works from locations around the world. Founded in mid-2020, we&rsquo;ve raised over $8M from leading VC funds and prominent angel investors, including the CEOs of Gitlab, HomeLight, and People.AI. </span></p>

Computer Vision Applied Scientist

<div><span>Who we are</span></div><div><br></div><div><span><b>The problem:</b> Every minute matters in fire response.&nbsp; As climate change amplifies the intensity of wildfires—with longer fire seasons, drier fuels, and faster winds—new 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 respond—preventing small flare-ups from becoming devastating infernos.&nbsp;</span></div><div><br></div><div><span><b>About Pano: </b>We are a 130+ person growth-stage hybrid-remote start-up, headquartered in San Francisco.&nbsp; We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely—with the right equipment, timely information, and enhanced coordination—so that they can stop a new ignition before it grows.&nbsp; 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.&nbsp;</span></div><div><br></div><div><span>Pano AI is on</span><a href="https://www.linkedin.com/company/time/"> TIME</a><span>'s list of the</span><a href="https://time.com/collections/time100-companies-2025/7289577/pano-ai/"> 100 Most Influential Companies of 2025!</a><span> MIT Technology Review listed Pano as one of the</span><a href="https://www.technologyreview.com/2024/10/01/1104375/2024-climate-tech-companies-pano-ai-fire-detecting-ai/"> top 15 climate tech companies to watch</a><span> in 2024, and Fast Company named Pano AI one of the</span><a href="https://www.fastcompany.com/90846670/most-innovative-companies-artificial-intelligence-2023"> Top 10 most innovative companies in AI of 2023</a><span>. We’ve also been featured in the</span><a href="https://www.wsj.com/articles/ai-wildfire-detection-startup-raises-44-million-2d662b00?mod=venture-capital_feat1_new-money_pos1"> Wall Street Journal</a><span>,</span><a href="https://www.bloomberg.com/news/articles/2025-01-21/la-fires-bolster-investment-case-for-climate-adaptation-technology"> Bloomberg</a><span>,</span><a href="https://www.cnbc.com/video/2024/11/18/ai-helping-to-fight-wildfires.html"> and CNBC News</a><span>.&nbsp; Pano AI’s 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</span><a href="https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/07/10/pano-series-a-extension/amp/"> $89M in venture capital funding</a><span> from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at</span><a href="https://www.pano.ai/"> https://www.pano.ai/</a><span>. &nbsp;</span></div><div><br></div><div><br></div><div><br></div><div><span>The Role&nbsp;</span></div><div><br></div><div><span>The Computer Vision Applied Scientist will be a part of the AI&nbsp; 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.</span></div><br><br><h3>What you’ll do</h3><ul><li>Developing smart geospatial algorithms for real-time awareness and predicting environmental risks from cameras and satellites.</li><li>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.</li><li>Constantly making our models and MLOps better, combining different sensor data, and using our existing domain knowledge to improve performance and real-time processing.</li><li>Working closely with the AI and platform teams to deliver awesome solutions for Pano's customers.</li><li>Showing off Pano AI's tech with solid real-world performance numbers.</li></ul><h3>What you’ll bring</h3><ul><li>A PhD or MS in Computer Science, Electrical Engineering, Robotics, or related field, with a focus on computer vision, 3D perception, or geospatial AI.</li><li>At least 2 years of industry experience in computer vision, foundational vision model,&nbsp; and multi-modal <a href="http://LLM.Strong">LLM.</a></li><li>Strong Python coding skills, especially with PyTorch.</li></ul><h3>Preferred skills</h3><ul><li>Experience working with geospatial data, GIS, or remote sensing.</li><li>Experience working with cloud systems.</li><li>Excellent communication skills.</li><li>Publications in top-tier vision or ML conferences.</li></ul><br><div>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.</div>

Computer Vision Applied Scientist

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