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Director Cyber Security Machine Learning Jobs in Houston, TX

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

Lead Cybersecurity Architect

Houston, TX · On-site

  • Medical

  • Retirement

As a Lead Cybersecurity Architect in Cybersecurity Technology & Controls within JPMorgan Chase, you ... machine learning, mobile, etc.) * In-depth knowledge of the financial services industry or ...

Lead Cybersecurity Architect

Houston, TX · On-site

$137K - $185K/yr

  • Medical

  • Retirement

As a Lead Cybersecurity Architect in Cybersecurity Technology & Controls within JPMorgan Chase, you ... machine learning, mobile, etc.) * In-depth knowledge of the financial services industry or ...

Cyber - AWS Cloud Security - Manager

Houston, TX · On-site

$106K - $143K/yr

... cybersecurity * Experience with container security, application security, or DevSecOps practices * Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ...

Senior Security Engineer

Houston, TX · On-site

$109K - $149K/yr

AI & Machine Learning for Cybersecurity * Security Automation & Orchestration * Threat Detection & Detection Engineering * Security Data Lakes & Analytics * REST APIs & Platform Integration * Cloud ...

Cyber - Google Cloud Security - Manager

Houston, TX · On-site

$106K - $143K/yr

... cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever ... machine learning security, container security, data protection, monitoring, and secure delivery

Director of AI Security

Houston, TX · On-site

$150K - $214K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This role ensures that AI and machine learning technologies are developed, deployed, and operated ... Stay ahead of evolving AI and cybersecurity threat landscapes, including deepfakes, generative AI ...

Director of AI Engineering

Sugar Land, TX · On-site

$143K - $205K/yr

The director will lead and mentor a team of data scientists and AI engineers to build and ... Machine Learning & AI: Deep learning, NLP, generative AI, predictive analytics, reinforcement ...

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Showing results 1-20

Director Cyber Security Machine Learning information

See Houston, TX salary details

$38.7K

$117.4K

$171.9K

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

As of Aug 13, 2026, the average yearly pay for director cyber security machine learning in Houston, TX is $117,356.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $135,600.00 per year, depending on experience, location, and employer.

What is the difference between Director Cyber Security Machine Learning vs Cyber Security Data Scientist?

AspectDirector Cyber Security Machine LearningCyber Security Data Scientist
Required CredentialsBachelor's/Master's in CS, Cybersecurity, or related; certifications like CISSP, CEH; experience in ML and securityBachelor's/Master's in CS, Data Science, or related; certifications like CISSP, GIAC; strong data analysis skills
Work EnvironmentLeads security teams, develops ML models for threat detection, strategic planningAnalyzes security data, develops models, supports security teams with insights
Employer & Industry UsageUsed in cybersecurity firms, large enterprises, government agenciesCommon in tech companies, cybersecurity firms, research institutions

The main difference is that the Director Cyber Security Machine Learning oversees security teams and strategic ML initiatives, while the Cyber Security Data Scientist focuses on analyzing data and developing models to support security operations.

What cities near Houston, TX are hiring for Director Cyber Security Machine Learning jobs?

Cities near Houston, TX with the most Director Cyber Security Machine Learning job openings:

Infographic showing various Director Cyber Security Machine Learning job openings in Houston, TX as of August 2026, with employment types broken down into 75% Full Time, 19% Part Time, 2% Temporary, and 4% Contract. Highlights an 96% In-person, 2% Hybrid, and 2% Remote job distribution, with an average salary of $117,356 per year, or $56.4 per hour.

AI Safety Engineer (Red Teaming) - Remote

micro1 AI

Houston, TX • Remote

$50 - $90/hr

Part-time

This job post has expired 1 day ago. 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.