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Sentinel Foundation Jobs in California (NOW HIRING)

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 ...

... 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 ...

Corporate Security Lead

Torrance, CA · On-site

$124.95K - $205.85K/yr

Building the security monitoring foundation we need as a dual use company handling mission-critical ... Hands-on with SIEM platforms (Splunk, Sentinel, Panther) and EDR solutions (CrowdStrike ...

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Sentinel Foundation information

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 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 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.

Who founded Sentinel Foundation?

Sentinel Foundation was founded by a team of cybersecurity professionals dedicated to developing advanced threat detection and prevention solutions. The organization emphasizes collaboration, innovation, and continuous learning in its mission. Specific founder names are not publicly disclosed.

What is the difference between Sentinel Foundation vs Sentinel Technician?

AspectSentinel FoundationSentinel Technician
CertificationsTypically requires foundational certifications in security or surveillance systemsRequires technical certifications related to installation, maintenance, and troubleshooting
Work EnvironmentPrimarily involved in planning, system design, and overseeing security infrastructureHands-on role involving installation, repair, and maintenance of security equipment
Employer & Industry UsageUsed by security firms, government agencies, and large organizations for security system planningEmployed 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 popular job titles related to Sentinel Foundation jobs in California? For Sentinel Foundation jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Sentinel Foundation jobs? Cities in California with the most Sentinel Foundation job openings:
Infographic showing various Sentinel Foundation job openings in California as of May 2026, with employment types broken down into 2% Internship, 26% Full Time, 67% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 100% Physical job distribution.
Visiting Staff Scientist

Visiting Staff Scientist

Planet

San Francisco, CA • On-site

Full-time

Posted 16 days ago


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 and collaborate with a multi-disciplinary team to create AI/ML solutions that leverage 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:
• Distinguished Academic Background: PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing, or a related field.
• Deep Domain Expertise: 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).
• Multimodal AI Fluency: Extensive experience with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs).
• Advanced Geospatial Toolkit: Proficiency in multi-sensor integration (Landsat, Sentinel-2, PlanetScope, Sentinel-1) and high-resolution mapping at varying scales (3m, 10m, 30m).
• Technical Proficiency: Expert-level Python skills and experience with the scientific stack (xarray, Dask, NumPy, Rasterio, GeoPandas) and deep learning frameworks.
• Scale-Minded Research: Experience building automated pipelines for preprocessing and labeling planetary-scale datasets.
• Collaborative Spirit: A history of leading research labs and a desire to work in a fast-paced, industrial R&D environment.
Preferred:
• Specialized Environmental Research: Extensive experience specifically in flood damage quantification and methane-related water dynamics.
• Proven Funding & Publication Record: History of leading NASA-funded or similar high-impact geospatial research projects.
• Architectural Knowledge: Direct experience fine-tuning or modifying specific GFM architectures like TerraMind or Prithvi.
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.