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Machine Learning Defense Jobs in Salisbury, NC (NOW HIRING)

Experience applying artificial intelligence, machine learning, or large language model workflows to ... As a Consultant - Cyber Defense and Resilience, you will support the design and deployment of ...

Cyber Manager - AI SOC

Charlotte, NC · On-site

$108K - $146K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Overview The Model Risk Management (MRM) Team, part of Vanguard's second line of defense, is ... Machine Learning and AI Applications * Experience developing, testing, reviewing, or validating ...

Strategic Account Manager

Concord, NC · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Wind River helps customers across automotive, aerospace, defense, industrial, medical, and ... machine economy. The company's software powers generation after generation of the safest, most ...

Machine Learning Defense information

See Salisbury, NC salary details

$23K

$38.5K

$79.5K

How much do machine learning defense jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning defense in Salisbury, NC is $38,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,600.00 per year, depending on experience, location, and employer.

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Salisbury, NC?

For Machine Learning Defense jobs in Salisbury, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Salisbury, NC look for?

The top searched job categories for Machine Learning Defense jobs in Salisbury, NC are:

What cities near Salisbury, NC are hiring for Machine Learning Defense jobs?

Cities near Salisbury, NC with the most Machine Learning Defense job openings:

Security Operations Specialist

The University of North Carolina

Charlotte, NC • On-site

$90 - $120/hr

Other

Posted 2 days ago

New


Job description

Please see Special Instructions for more details.

8:00 am – 5:00 pm; Monday – Friday with occasional evening and weekend hours required, as necessary.


Hours per week 40


FLSA Status


FLSA Status Exempt


Division


Division OneIT


Department


Department Office of OneIT (Adm)


Work Location


Salary Range


Primary Purpose of Department


The Office of OneIT provides highly reliable information technology infrastructure, tools, and services to empower the University to achieve its academic, research, administrative, and service goals.


Primary Purpose of Position


The Security Operations Specialist is a highly technical, action-oriented role focused on defending the University’s digital infrastructure from active threats. This position will lead the initiative to integrate AI within the University’s security toolset. Instead of relying on passive compliance checklists, this position leverages cutting-edge artificial intelligence, machine learning, and automated orchestration to enable proactive threat hunting, accelerate real-time threat containment, and lower alert fatigue.


Summary of Position Responsibilities


Security Operations Support



  • Contribute to continuous improvement of the security information and event management ( SIEM ) system, developing processes and procedures for monitoring, alerting, detection, and response functions for on-premise, cloud-based, and, as appropriate, third‑party systems and services.

  • Review system logs and real-time alerts to identify trends, investigate abnormalities, and report exceptions.

  • Tune and create analytic detection policies for detecting and monitoring anomalous and malicious activity across the University Information Technology ecosystem.

  • Contribute to continuous improvement in Security Operations tasks and functions.

  • Support vulnerability management operations for the University and affiliates.

  • Create and maintain data dashboards and reports based on various systems of record to help the University IT community identify vulnerabilities, enabling them to focus their efforts to mitigate IT security risks across our environment.


Proactive Defense & AI-Augmented SOC Support

  • Threat Hunting:Deploy machine learning models and AI-driven behavior analytics to actively hunt for hidden threat actors.

  • SOC Augmentation: Design and maintain AI-assisted agents to triage alerts and automate response, reducing alert fatigue and response time.

  • Dynamic Optimization:Continuously build, tune, and refine policies across the Security tools to accurately catch modern, fast-moving attacker techniques.

  • Automated Defense: Assist Security Engineers to optimize and maintain Security Orchestration, Automation, and Response ( SOAR ) systems.

  • Adversarial Simulation: Develop and automate scripts and AI attack simulations to test existing defenses.

  • Perform the role of an incident response team member in the event of a successful attack to support technical response actions, incident mitigation, and recovery activities.

  • Participate in investigations of security incidents and provide resolutions based on alerts and events provided by security dashboards ranging from a Security Information and Event Management ( SIEM ) system to vulnerability scans or penetration testing assessments.

  • Contribute to procedures for proactive and reactive Incident Response to be used University-wide.

  • Bachelor’s degree in computer science, computer engineering, information security, or other closely related field and

  • 2+ years of relevant work experience; or an

  • Equivalent combination of education and relevant work experience.



  • Coding Experience

  • Experience working with Small and Large Language Models

  • Experience in a higher education environment

  • Experience within a security operations team

  • Understanding of how to utilize automation tools to increase the productivity and responsiveness of a SOC .

  • Ability to perform comfortably in a fast-paced, deadline-oriented work environment.

  • Ability to successfully execute many complex tasks in rapid succession.

  • Experience with security tools ( EDR , XDR , SIEM , Vulnerability Scanning)

  • One or more information security certifications such as GCIH , GPEN , SSCP are preferable, but not required.


Necessary Certifications/Licenses


Preferred Certifications/Licenses


Security+, CASP , ISC2 SSCP , GIAC GCIH , GPEN .


9201 University City BlvdCharlotte, NC 28223

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