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Cnn Security Jobs (NOW HIRING)

Neverware

Sr. Technical Support Engineer

Manhattan, NY · On-site

As covered by media outlets such as the Wall Street Journal, CNN, CNET, The Verge and TechTarget ... security, manageability, and of course, performance-whether your computer is brand new or 10 years ...

Chipton Ross

Aeronautical Engineer 3

Chandler, AZ · On-site

$96.17/hr

This position requires the ability to obtain a security clearance in the future. POSITION ... or operating CNN Mills/Lathes for aerospace hardware. * Active Department of Defense Secret ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net * Experience working with images from medical, security, or NDT devices * Experience defining data science ...

Leidos

Senior Machine Learning Engineer

Vista, CA

$107K - $195K/yr

Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net * Experience working with images from medical, security, or NDT devices * Experience defining data science ...

BravoTech

AI Architect

Nashville, TN · On-site

Ensure alignment with security, legal, and regulatory requirements (e.g., HIPAA, SOC2, GDPR, as ... Deep Learning (CNN, RNN, LSTM) * Transformer architectures and attention mechanisms * Deep ...

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How much do cnn security jobs pay per year?

As of Jun 30, 2026, the average yearly pay for cnn security in the United States is $43,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $47,500.00 per year, depending on experience, location, and employer.

Is it hard to get hired by Homeland Security?

Getting hired as a CNN security professional or similar security role often requires relevant experience, security clearances, and sometimes specialized training or certifications. The hiring process can be competitive and may involve background checks, interviews, and assessments of technical skills or knowledge of security protocols.

How do you get a job at CNN?

To get a job at CNN, candidates should review current openings on their careers website, prepare a strong resume highlighting relevant skills such as journalism, broadcasting, or technical expertise, and submit an application online. Relevant experience, a portfolio or demo reel, and familiarity with media tools can improve chances. Networking within the industry can also be beneficial.

What is the difference between Cnn Security vs Security Guard?

AspectCnn SecuritySecurity Guard
CertificationsSecurity license, CCTV operation, emergency response trainingSecurity license, basic security training
Work EnvironmentCorporate offices, events, retailBuildings, malls, private properties
Employer & IndustrySecurity companies, corporate clientsPrivate companies, government facilities

Both Cnn Security and Security Guards require security licenses and training, but Cnn Security often involves more specialized roles like CCTV operation and emergency response. Cnn Security typically works in corporate or event settings, while Security Guards are more common in retail, malls, and private properties. Understanding these differences helps in choosing the right security career path.

What are the key skills and qualifications needed to thrive as a CNN Security professional, and why are they important?

To thrive as a CNN Security professional, you need expertise in physical security protocols, risk assessment, and crisis management, often backed by law enforcement or security certifications such as CPP or PSP. Familiarity with surveillance systems, access control technologies, and incident response software is typically required. Strong observational skills, discretion, and effective communication help professionals respond quickly and maintain a secure environment. These skills are crucial to ensuring the safety of personnel, assets, and sensitive information in a high-profile media organization.

What are CNN Security professionals?

CNN Security professionals are responsible for protecting the people, assets, and information of CNN, the global news network. Their duties include monitoring for physical and cyber threats, implementing security protocols, and responding to emergencies to ensure a safe environment for journalists, staff, and visitors. They work closely with other departments and external agencies to assess risks and develop strategies to mitigate them, particularly in high-risk locations or during sensitive news coverage.

What is the highest paid security job?

The highest paid security jobs typically include Chief Security Officer (CSO) and Security Director roles, which can earn six-figure salaries. These positions require extensive experience, leadership skills, and often certifications such as CISSP or CISM, and they oversee an organization's overall security strategy and operations.

Why is CNN laying off employees?

CNN security personnel, like other employees, may face layoffs due to organizational restructuring, budget cuts, or changes in company strategy. Such layoffs are often part of broader efforts to reduce costs or adapt to industry shifts, and security roles may be affected if operational priorities change.

What are some common challenges faced by CNN Security professionals, and how are they typically addressed within the team?

CNN Security professionals often face challenges such as rapidly evolving cyber threats, managing large-scale security incidents, and ensuring compliance with industry regulations. These challenges are typically addressed through continuous training, collaboration with IT and editorial teams, and maintaining up-to-date security protocols. Regular threat assessments and cross-departmental communication help the team proactively identify vulnerabilities and respond efficiently to incidents, fostering a strong security culture throughout the organization.
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Cnn Security jobs near you
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

SecureVision

Saint Louis, MO • On-site

Other

Posted 20 days ago

Key responsibilities

  • Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.

  • Implement State-of-the-Art Computer Vision and Vision Language Models for tasks such as image retrieval, segmentation, AI-assisted labeling, object detection, and visual question answering using geospatial datasets.

  • Fine-tune pre-trained foundation and computer vision models to perform segmentation and object detection tasks with limited training data using satellite imagery.

Job description

HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT
Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats. Job Description
Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
WHAT YOU'LL NEED TO SUCCEED:
• Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
• Experience: 5+ years Technical skills:
• Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.
• Demonstrated professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.
• Demonstrated professional or academic experience using Python to query and retrieve imagery from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.
• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.
• Demonstrated professional or academic experience with version control systems such as Gitlab.
• Demonstrated experience leveraging CUDA for GPU accelerated computing. Skills and abilities desired:
• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
• Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT.
• Demonstrated academic or professional experience communicating methodological choices and model results.
• Demonstrated experience with verification and validation test benches.
• Demonstrated experience with Explainable AI (XAI) techniques.
• Demonstrated experience with Open Neural Net Exchange (ONNX).

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