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Entry Level Cyber Security Machine Learning Jobs in North Carolina

Deloitte

Cyber - SecOps - Consultant

Charlotte, NC · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Deloitte

Cyber - SecOps - Consultant

Raleigh, NC · On-site

Experience applying artificial intelligence (AI), machine learning (ML), and advanced data engineering to cybersecurity use cases, including detection and cyber threat response acceleration

Hitachi

Research Scientist - Power System Operation

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is based in our Raleigh, North Carolina research center, where you'll collaborate with interdisciplinary teams across cybersecurity, machine learning, and automation to develop next ...

GMV

Cybersecurity Operator (Night Shift)

Naples, NC · On-site +1

... from machine learning to cognitive services (IBM Watson, AWS AI, Google AI, etc.), big data architectures and business intelligence. You will be part of our team, full of talent and desire to ...

Pwc

AML/Sanctions- Data Scientist- Associate

Charlotte, NC · On-site

$63K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... machine learning, NLP, and LLMs in relevant projects - Contribute to team efforts while enhancing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Cyber Security Machine Learning jobs near you
Infographic showing various Entry Level Cyber Security Machine Learning job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Charlotte, NC • Remote

$50 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: AI Jailbreak & Prompt-Injection Security Expert


Role Type: Contractor


Location: Remote


micro1 is engaging AI Jailbreak & Prompt-Injection Security Experts to contribute to a cutting-edge customer initiative focused on AI safety and robustness. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and implement advanced methodologies for evaluating AI system safety, focusing on ethical jailbreaks, LLM red teaming, prompt injection, and tool-use abuse scenarios.
  2. Create comprehensive cross-domain elicitation strategies to uncover multi-turn and complex adversarial bypass patterns in AI models.
  3. Develop, maintain, and update regression test suites that systematically test for jailbreak susceptibility and prompt-injection vulnerabilities.
  4. Construct robust evaluation frameworks that stress-test AI models against real-world adversarial threats, aiming to enhance overall system robustness.
  5. Collaborate with technical stakeholders to translate security findings into actionable improvements for model safety and risk mitigation.
  6. Document methodologies, findings, and best practices in clear, well-structured written reports and presentations for both technical and non-technical audiences.


Preferred Qualifications

  1. 2+ years of expertise in adversarial machine learning, LLM red teaming, AI safety evaluation, or a closely related security domain
  2. Proven experience researching, testing, or uncovering vulnerabilities related to ethical jailbreaks, prompt injection, tool-use abuse, or adversarial AI attacks.
  3. Advanced degree (PhD, MS) in computer science, cybersecurity, machine learning, or a relevant discipline, or equivalent operational/professional background.
  4. High credibility and recognition within the AI security or adversarial ML community—such as published research, open-source tools, or conference presentations.
  5. Exceptional written and verbal communication skills, with a strong focus on clear documentation and collaborative problem-solving.
  6. Prior participation in multi-disciplinary projects or cross-functional AI safety initiatives is a plus.
  7. Familiarity with current LLM architectures, prompt engineering techniques, and security assessment tools is highly desirable.

Apply