... with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs). • Proficiency in multi-sensor integration (Landsat, Sentinel-2, PlanetScope ...
... with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs). • Proficiency in multi-sensor integration (Landsat, Sentinel-2, PlanetScope ...
Lead the research and development of a foundation model specifically trained on Planet imagery ... Explore the synergy between PlanetScope, Sentinel-1 SAR, and other commercial SAR data to ensure ...
Lead the research and development of a foundation model specifically trained on Planet imagery ... Explore the synergy between PlanetScope, Sentinel-1 SAR, and other commercial SAR data to ensure ...
Responsibilities : • Contribute to the design and training of a foundation model specifically ... Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover ...
Responsibilities : • Contribute to the design and training of a foundation model specifically ... Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover ...
Visiting Scientist
San Francisco, CA · On-site
They are seeking a Visiting Scientist to develop proprietary geospatial foundation models, focusing ... Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover ...
Visiting Scientist
San Francisco, CA · On-site
They are seeking a Visiting Scientist to develop proprietary geospatial foundation models, focusing ... Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover ...
Contribute to the design and training of a foundation model specifically optimized for Planet ... Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to ...
Contribute to the design and training of a foundation model specifically optimized for Planet ... Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to ...
Visiting Staff Scientist
San Francisco, CA · On-site +1
... foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs). * Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel ...
Visiting Staff Scientist
San Francisco, CA · On-site +1
... foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs). * Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel ...
... foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs). * Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel ...
... foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs). * Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel ...
... foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs). * Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel ...
... foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs). * Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel ...
Contribute to the design and training of a foundation model specifically optimized for Planet ... Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to ...
Contribute to the design and training of a foundation model specifically optimized for Planet ... Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to ...
Contribute to the design and training of a foundation model specifically optimized for Planet ... Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to ...
Contribute to the design and training of a foundation model specifically optimized for Planet ... Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to ...
Contribute to the design and training of a foundation model specifically optimized for Planet ... Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to ...
Contribute to the design and training of a foundation model specifically optimized for Planet ... Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to ...
The ideal candidate is a mid-career cybersecurity professional with a strong technical foundation ... Azure Sentinel * Monitor endpoint detection and response (EDR/XDR) alerts and telemetry * Assist ...
The ideal candidate is a mid-career cybersecurity professional with a strong technical foundation ... Azure Sentinel * Monitor endpoint detection and response (EDR/XDR) alerts and telemetry * Assist ...
The ideal candidate is a mid-career cybersecurity professional with a strong technical foundation ... Azure Sentinel * Monitor endpoint detection and response (EDR/XDR) alerts and telemetry * Assist ...
The ideal candidate is a mid-career cybersecurity professional with a strong technical foundation ... Azure Sentinel * Monitor endpoint detection and response (EDR/XDR) alerts and telemetry * Assist ...
The ideal candidate is a mid-career cybersecurity professional with a strong technical foundation ... Azure Sentinel * Monitor endpoint detection and response (EDR/XDR) alerts and telemetry * Assist ...
The ideal candidate is a mid-career cybersecurity professional with a strong technical foundation ... Azure Sentinel * Monitor endpoint detection and response (EDR/XDR) alerts and telemetry * Assist ...
The ideal candidate is a mid-career cybersecurity professional with a strong technical foundation ... Azure Sentinel * Monitor endpoint detection and response (EDR/XDR) alerts and telemetry * Assist ...
The ideal candidate is a mid-career cybersecurity professional with a strong technical foundation ... Azure Sentinel * Monitor endpoint detection and response (EDR/XDR) alerts and telemetry * Assist ...
Security Engineering Lead
Torrance, CA · On-site
... establishing a security monitoring foundation for mission-critical space communications ... Sentinel, Panther) and EDR solutions (CrowdStrike, SentinelOne). • Experience scaling IT and ...
Security Engineering Lead
Torrance, CA · On-site
... establishing a security monitoring foundation for mission-critical space communications ... Sentinel, Panther) and EDR solutions (CrowdStrike, SentinelOne). • Experience scaling IT and ...
... or Sentinel-2 * Intermediate understanding of workflows for training, validating GeoAI deep ... Experience researching or adopting foundation models such as Prithvi * Experience with one or more ...
... or Sentinel-2 * Intermediate understanding of workflows for training, validating GeoAI deep ... Experience researching or adopting foundation models such as Prithvi * Experience with one or more ...
Incident Responder I
Sacramento, CA · On-site
... Sentinel). * Uses prebuilt dashboards and analytics to identify potential issues (service ... ITIL Foundation required * CompTIA CySA+ preferred * Splunk Power User preferred * Certified ...
Incident Responder I
Sacramento, CA · On-site
... Sentinel). * Uses prebuilt dashboards and analytics to identify potential issues (service ... ITIL Foundation required * CompTIA CySA+ preferred * Splunk Power User preferred * Certified ...
Sr. Infrastructure Security Specialist - Enterprise to Edge Security, Global Security Organization
San Jose, CA · On-site
$134K - $235K/yr
Also known as "GSO", this team is the foundation of our efforts to keep TikTok safe, secure, and ... Sentinel) and continuous control validation platforms. Job Information [For Pay Transparency ...
Sr. Infrastructure Security Specialist - Enterprise to Edge Security, Global Security Organization
San Jose, CA · On-site
$134K - $235K/yr
Also known as "GSO", this team is the foundation of our efforts to keep TikTok safe, secure, and ... Sentinel) and continuous control validation platforms. Job Information [For Pay Transparency ...
Active and existing security clearance required on day 1 At Raytheon, the foundation of everything ... The Sentinel Lead Systems Engineer for Transmitter integration willserve as the technical lead to ...
Active and existing security clearance required on day 1 At Raytheon, the foundation of everything ... The Sentinel Lead Systems Engineer for Transmitter integration willserve as the technical lead to ...
Sentinel Foundation information
What is the difference between Sentinel Foundation vs Sentinel Technician?
| Aspect | Sentinel Foundation | Sentinel Technician |
|---|---|---|
| Certifications | Typically requires foundational certifications in security or surveillance systems | Requires technical certifications related to installation, maintenance, and troubleshooting |
| Work Environment | Primarily involved in planning, system design, and overseeing security infrastructure | Hands-on role involving installation, repair, and maintenance of security equipment |
| Employer & Industry Usage | Used by security firms, government agencies, and large organizations for security system planning | Employed by security companies, tech firms, and installation services for technical tasks |
The Sentinel Foundation role focuses on planning and overseeing security systems, while the Sentinel Technician handles the technical installation and maintenance. Both roles are essential in the security industry but differ in responsibilities and required skills.
What are some unique challenges faced by professionals working at the Sentinel Foundation, and how can applicants prepare to address them?
Professionals at the Sentinel Foundation often encounter complex challenges such as managing sensitive information, working under strict confidentiality guidelines, and adapting quickly to evolving threats or humanitarian situations. Team members regularly collaborate across disciplines—including technology, legal, and field operations—to achieve the Foundation's goals. Applicants can prepare by developing strong communication skills, staying informed about global security or humanitarian issues, and demonstrating flexibility and resilience in fast-paced, high-stakes environments.
What are the key skills and qualifications needed to thrive as a Sentinel Foundation cybersecurity professional, and why are they important?
To thrive as a cybersecurity professional at the Sentinel Foundation, a solid background in information security, risk assessment, and incident response is generally required, often supported by a degree in computer science or related field. Familiarity with security information and event management (SIEM) tools, network monitoring systems, and certifications such as CISSP or CEH is typically essential. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in both technical tasks and collaboration with diverse teams. These skills are crucial for identifying vulnerabilities, mitigating threats, and ensuring the safety and resilience of digital assets.
What is a Sentinel Foundation?
A Sentinel Foundation is typically an organization or initiative focused on safeguarding communities, critical infrastructure, or sensitive information from threats such as cyberattacks, natural disasters, or other risks. These foundations may work to provide education, resources, and direct support to enhance security and resilience. The specific mission can vary, but often includes collaboration with public and private sectors to promote safety and preparedness. Sentinel Foundations may also engage in advocacy, research, and the development of innovative solutions to emerging threats.
What are popular job titles related to Sentinel Foundation jobs in California? For Sentinel Foundation jobs in California, the most frequently searched job titles are:
What job categories do people searching Sentinel Foundation jobs in California look for? The top searched job categories for Sentinel Foundation jobs in California are:
What cities in California are hiring for Sentinel Foundation jobs? Cities in California with the most Sentinel Foundation job openings:
Full-time
This job post has expired 1 day ago. Applications are no longer accepted.
Job description
Job Summary:
Planet is a company that designs, builds, and operates the largest constellation of imaging satellites in history. They are seeking a distinguished Visiting Staff Scientist to lead the development of proprietary geospatial foundation models, collaborating with a multi-disciplinary team to create AI/ML solutions leveraging PlanetScope data.
Responsibilities:
• Develop Planet’s Proprietary GFM: Lead the research and development of a foundation model specifically trained on Planet imagery, incorporating the time-axis to create high-cadence time-series embeddings.
• Benchmark Geospatial Architectures: Systematically evaluate and compare existing GFMs (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to assess performance, computational cost, and transferability.
• Capture Dynamic Earth Events: Design embeddings and workflows optimized for detecting short-lived, high-impact events such as floods, rapid surface-water expansion, and fire.
• Multi-Sensor Integration: Explore the synergy between PlanetScope, Sentinel-1 SAR, and other commercial SAR data to ensure robust time-series analysis even under cloud cover.
• Human-in-the-Loop Innovation: Use embeddings to design active learning workflows that prioritize labeling and reduce the annotation burden for time-sensitive mapping tasks.
• Academic & Technical Leadership: Publish findings in top-tier journals and present at conferences (e.g., IGARSS, CVPR), highlighting PlanetScope’s unique value in the foundation model ecosystem.
• Mentor & Collaborate: Oversee the technical direction of a dedicated postdoc and collaborate with Planet’s research scientists to transition prototypes into operational products.
Qualifications:
Required:
• PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing, or a related field.
• 12+ years of experience in remote sensing and satellite image analysis, with a proven track record in building AI-based models for environmental change (e.g., flood-extent, water dynamics).
• Extensive experience with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs).
• Proficiency in multi-sensor integration (Landsat, Sentinel-2, PlanetScope, Sentinel-1) and high-resolution mapping at varying scales (3m, 10m, 30m).
• Expert-level Python skills and experience with the scientific stack (xarray, Dask, NumPy, Rasterio, GeoPandas) and deep learning frameworks.
• Experience building automated pipelines for preprocessing and labeling planetary-scale datasets.
• A history of leading research labs and a desire to work in a fast-paced, industrial R&D environment.
Preferred:
• Extensive experience specifically in flood damage quantification and methane-related water dynamics.
• History of leading NASA-funded or similar high-impact geospatial research projects.
• Direct experience fine-tuning or modifying specific GFM architectures like TerraMind or Prithvi.
• A mix of deep academic rigor and the ability to prototype rapid-change monitoring tools for operational readiness.
Company:
Planet is an aerospace and data analytics company that builds small satellites and delivers information about the changing planet. Founded in 2010, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Planet is a company that designs, builds, and operates the largest constellation of imaging satellites in history. They are seeking a distinguished Visiting Staff Scientist to lead the development of proprietary geospatial foundation models, collaborating with a multi-disciplinary team to create AI/ML solutions leveraging PlanetScope data.
Responsibilities:
• Develop Planet’s Proprietary GFM: Lead the research and development of a foundation model specifically trained on Planet imagery, incorporating the time-axis to create high-cadence time-series embeddings.
• Benchmark Geospatial Architectures: Systematically evaluate and compare existing GFMs (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to assess performance, computational cost, and transferability.
• Capture Dynamic Earth Events: Design embeddings and workflows optimized for detecting short-lived, high-impact events such as floods, rapid surface-water expansion, and fire.
• Multi-Sensor Integration: Explore the synergy between PlanetScope, Sentinel-1 SAR, and other commercial SAR data to ensure robust time-series analysis even under cloud cover.
• Human-in-the-Loop Innovation: Use embeddings to design active learning workflows that prioritize labeling and reduce the annotation burden for time-sensitive mapping tasks.
• Academic & Technical Leadership: Publish findings in top-tier journals and present at conferences (e.g., IGARSS, CVPR), highlighting PlanetScope’s unique value in the foundation model ecosystem.
• Mentor & Collaborate: Oversee the technical direction of a dedicated postdoc and collaborate with Planet’s research scientists to transition prototypes into operational products.
Qualifications:
Required:
• PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing, or a related field.
• 12+ years of experience in remote sensing and satellite image analysis, with a proven track record in building AI-based models for environmental change (e.g., flood-extent, water dynamics).
• Extensive experience with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs).
• Proficiency in multi-sensor integration (Landsat, Sentinel-2, PlanetScope, Sentinel-1) and high-resolution mapping at varying scales (3m, 10m, 30m).
• Expert-level Python skills and experience with the scientific stack (xarray, Dask, NumPy, Rasterio, GeoPandas) and deep learning frameworks.
• Experience building automated pipelines for preprocessing and labeling planetary-scale datasets.
• A history of leading research labs and a desire to work in a fast-paced, industrial R&D environment.
Preferred:
• Extensive experience specifically in flood damage quantification and methane-related water dynamics.
• History of leading NASA-funded or similar high-impact geospatial research projects.
• Direct experience fine-tuning or modifying specific GFM architectures like TerraMind or Prithvi.
• A mix of deep academic rigor and the ability to prototype rapid-change monitoring tools for operational readiness.
Company:
Planet is an aerospace and data analytics company that builds small satellites and delivers information about the changing planet. Founded in 2010, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.