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Adversarial Machine Learning Jobs in Plano, TX (NOW HIRING)

... and adversarial emulation capabilities across the enterprise, cloud, and AI-enabled systems ... Integrate large language models (LLMs) and machine learning capabilities into red team pipelines to ...

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... and adversarial emulation capabilities across the enterprise, cloud, and AI-enabled systems ... Integrate large language models (LLMs) and machine learning capabilities into red team pipelines to ...

Offensive Security Engineer

Plano, TX · On-site

$140 - $200/hr

... and adversarial emulation capabilities across the enterprise, cloud, and AI-enabled systems ... Integrate large language models (LLMs) and machine learning capabilities into red team pipelines to ...

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Adversarial Machine Learning information

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How much do adversarial machine learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for adversarial machine learning in Plano, TX is $20.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $21.88 per hour, depending on experience, location, and employer.

What is adversarial machine learning?

Adversarial machine learning is a field of study focused on understanding and defending against attacks that manipulate machine learning models by feeding them deceptive input, known as adversarial examples. These attacks can cause models to make incorrect predictions, raising concerns about the security and reliability of AI systems, especially in critical applications like image recognition and autonomous vehicles. Researchers in this area develop techniques to detect, prevent, and mitigate these vulnerabilities to make machine learning systems more robust.

What are some common challenges faced by professionals working in adversarial machine learning roles?

Adversarial Machine Learning professionals often face the challenge of staying ahead of rapidly evolving attack techniques that can compromise model integrity and security. Managing the balance between model performance and robustness is another key difficulty, as defenses against adversarial attacks can sometimes reduce accuracy or increase computational costs. Collaboration with data scientists, security teams, and software engineers is vital for developing resilient models and implementing effective defenses. Staying current with the latest research and tools is essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive as an adversarial machine learning specialist, and why are they important?

To excel in Adversarial Machine Learning, you need a strong background in machine learning, deep learning, statistics, and computer science, typically supported by an advanced degree in a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial attack and defense libraries, and knowledge of security protocols are crucial. Creative problem-solving, critical thinking, and strong communication skills help in designing robust models and explaining complex threats to stakeholders. These competencies are vital to anticipate vulnerabilities, safeguard AI systems, and ensure the reliability of machine learning models in real-world applications.

What is the difference between Adversarial Machine Learning vs Data Scientist?

AspectAdversarial Machine LearningData Scientist
CredentialsKnowledge of machine learning, cybersecurity, and threat detectionDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, cybersecurity teams, AI developmentBusiness analytics, data analysis, model development
Industry UsageAI security, cybersecurity, machine learning researchBusiness, finance, healthcare, tech companies

Adversarial Machine Learning focuses on understanding and defending AI models against malicious inputs, often within cybersecurity contexts. Data Scientists analyze data to extract insights, build models, and support decision-making across various industries. While both roles require machine learning knowledge, Adversarial Machine Learning emphasizes security and robustness, whereas Data Scientists focus on data analysis and predictive modeling.

What are popular job titles related to Adversarial Machine Learning jobs in Plano, TX?

For Adversarial Machine Learning jobs in Plano, TX, the most frequently searched job titles are:

What job categories do people searching Adversarial Machine Learning jobs in Plano, TX look for?

The top searched job categories for Adversarial Machine Learning jobs in Plano, TX are:

What cities near Plano, TX are hiring for Adversarial Machine Learning jobs?

Cities near Plano, TX with the most Adversarial Machine Learning job openings:

Infographic showing various Adversarial Machine Learning job openings in Plano, TX as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,459 per year, or $20.4 per hour.

Head of Information Risk

Texas Capital Bank

Richardson, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 days ago


Job description

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people's success - today and tomorrow.
While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment - investing the time and resources to understand our clients' immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships.
Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO).
Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News' Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate's 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com.
Brief Overview of Position
The Chief Information Risk Officer (CIRO) is responsible for the development, implementation, and management of the information risk strategy. Reporting to the Chief Risk Officer, the CIRO oversees and provides effective challenge to the first line of defense CISO organization and provides independent reporting to the Board of Directors for cybersecurity, data privacy, risk management, and regulatory compliance. The CIRO will work closely with other executive leaders to ensure information risk initiatives align with business goals while safeguarding the organization from internal and external threats.
Responsibilities
• Develop and implement a comprehensive information risk strategy and written information security program that includes information, and cyber security.
• Collaborate with executive leadership to align information risk goals with the organization's strategic objectives.
• Report key risks and metrics to the Board of Directors and the Enterprise Risk Committee.
• Oversee and challenge the first line implementation of cybersecurity policies, procedures, cloud security posture and technologies.
• Provide independent and effective challenge to first line of defense cyber security to ensure the protection of IT infrastructure, networks, and sensitive data from cyber threats, breaches, and attacks.
• Manage the identification, monitoring, and response to potential security incidents.
• Identify and assess security risks, vulnerabilities, and potential threats across the organization.
• Ensure compliance with relevant laws, regulations, and industry standards
• Develop audit processes and oversee external audits or assessments.
• Deliver annual assessments of the information security program and maturity rating.
• Assess and challenge the use of artificial intelligence (AI) and machine learning technologies within the organization, ensuring appropriate security controls, bias mitigation, and compliance with emerging AI regulations.
• Monitor and respond to AI-driven security threats, including adversarial AI attacks, deepfake fraud, and automated phishing campaigns, developing policies and countermeasures to protect the organization against evolving AI-enabled risks.
• Develop and implement plans for incident management, disaster recovery, and business continuity in the event of security breaches.
• Lead initiatives to protect personal, customer, and organizational data.
• Implement strategies to mitigate risks related to data breaches and unauthorized access to sensitive information.
• Design and implement security awareness programs for employees, including training on recognizing potential threats (e.g., phishing, social engineering).
• Foster a culture of security within the organization to encourage proactive risk management behaviors.
• Lead the organization's response to security incidents, ensuring timely and effective resolution.
• Develop and maintain crisis management protocols, including communication strategies with internal and external stakeholders.
• Identify and evaluate new technologies, tools, and services that can enhance the organization's risk posture
Qualifications
• Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent
• Masters degree in relevant discipline preferred
• 15+ years of related experience
• Proven experience in a senior leadership role, ideally in a corporate or large-scale organization.
• Experience in the finance and banking industry is preferred
• Extensive knowledge of information security principles, including risk management, threat analysis, security architecture, and incident response.
• Strong understanding of regulatory requirements and compliance standards.
• Excellent communication and leadership skills, with the ability to influence decision-making at the executive level.
• Relevant certifications such as CISSP, CISM, or CISA are preferred.
• Working knowledge and experience with key regulatory entities and related regulations, including the FDIC, FFIEC, CFPB, and FINRA.
• Deep knowledge of banking regulations, including OCC supervisory expectations for technology and cybersecurity risk.
• Demonstrated expertise in GLBA, SOX, and PCI-DSS compliance requirements and their operational implications.
• Proficiency applying the NIST Cybersecurity Framework to enterprise risk management programs.
• Experience managing regulatory examinations and responding to findings across multiple frameworks simultaneously.
The duties listed above are the essential functions, or fundamental duties within the job classification. The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.

Texas Capital Bank logo

About Texas Capital Bank

Sourced by ZipRecruiter

Texas Capital Bank is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big banks at a scale that makes sense for our clients, with highly experienced bankers who truly invest in people's success -- today and tomorrow.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1998

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