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Cyber Security Machine Learning Jobs Near Me

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

Lead Cybersecurity Architect

Columbus, OH · On-site

$53.25 - $73.25/hr

Required : • Hands-on practical experience delivering enterprise-level cybersecurity solutions ... machine learning, mobile, etc.) • In-depth knowledge of the financial services industry or ...

... and machine learning to detect and respond to advanced threats. * Comprehensive understanding of the network threat lifecycle, attack vectors, and methods of exploitation, including intrusion set ...

... and machine learning to detect and respond to advanced threats. * Comprehensive understanding of the network threat lifecycle, attack vectors, and methods of exploitation, including intrusion set ...

Cybersecurity IAM Architect Fellow Calling all innovators - find your future at Fiserv. We're ... Collaborate with teams to leverage AI and machine learning to improve access risk detection ...

Lead Cybersecurity Architect

Columbus, OH · On-site

$52 - $71.25/hr

As a Lead Cybersecurity Architect at JPMorganChase within the Consumer Banking Team, you are an ... machine learning, mobile, etc.) * In-depth knowledge of the financial services industry or ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

Job Title Cybersecurity Architect About your role: As a Global Enterprise Cybersecurity Architect, you will lead the strategy and design of enterprise-wide security architecture across on-premises ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... Prepares and structures data for machine learning pipelines, feature engineering, and model ...

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Cyber Security Machine Learning information

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$60.5K

$144.5K

$192.5K

How much do cyber security machine learning jobs pay per year?

As of Jul 3, 2026, the average yearly pay for cyber security machine learning in the United States is $144,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $164,000.00 per year, depending on experience, location, and employer.
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A map of the United States highlighting the number of Cyber Security Machine Learning job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Cyber Security Machine Learning job openings in each state, with California having the most at 2 and Hawaii the least at 0.
AI Safety Engineer (Red Teaming) - Remote

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Columbus, OH • Remote

$50 - $90/hr

Part-time

Posted 4 days ago


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.