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Machine Learning Defense Jobs in Dallas, TX (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

Dallas, TX

$109K - $148K/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 ...

Cyber Manager - AI SOC

Fort Worth, TX · On-site

$106K - $143K/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 ...

... and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect ... Experience in automated defect classification and/or machine learning for visual defect binning ...

Showing results 41-60

Machine Learning Defense information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

How much do machine learning defense jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning defense in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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 Dallas, TX?

For Machine Learning Defense jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Dallas, TX look for?

The top searched job categories for Machine Learning Defense jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Machine Learning Defense jobs?

Cities near Dallas, TX with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in Dallas, TX 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, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.

Senior Manager Digital, Scam & Mule Fraud

Citizens Financial Group

Irving, TX • On-site, Remote

$148K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

Description

The Senior Manager Digital, Scam & Mule Fraud leads enterprise strategy and execution to prevent, detect, and disrupt digital fraud, scam victimization, and money mule activity across customer channels. This role integrates fraud strategy, financial crime intelligence, customer protection, and operational response to reduce losses, protect customers, and strengthen regulatory compliance.

  • Combines fraud prevention with scam ecosystem defense.
  • Serves as a bridge between fraud, cyber, and product teams.
  • Focuses on proactive risk reduction rather than only reactive response.
Key Responsibilities
  • Risk Strategy & Oversight
    • Develop and execute a holistic digital fraud, money mule, and scam prevention strategy across channels, including online banking, payments, onboarding, and authentication.
    • Embed prevention-first controls across the product lifecycle and customer journeys.
    • Advise executive leadership on emerging fraud threats, regulatory expectations, and risk posture.
    • Define risk appetite, key performance indicators, and loss targets for digital fraud and scam exposure.
  • Analytical Leadership
    • Build and mentor a team of data scientists and analysts to develop and implement advanced machine learning and statistical models for fraud detection and prevention.
    • Drive portfolio fraud analytics across customer segments and provide actionable insights to inform risk strategies.
    • Develop predictive models to monitor and mitigate emerging fraud threats, integrating real-time detection capabilities with engineering and technology teams.
    • Use data-driven insights to recommend improvements to fraud prevention systems and technologies.
  • Program Development & Collaboration
    • Partner with internal stakeholders, external vendors, and customers to launch and update risk controls across products.
    • Act as Business Segment Relationship Manager for vendor partnerships, ensuring compliance with third-party risk management requirements.
    • Collaborate with audit, business segment, and corporate risk teams to address issues and support strategic objectives.
  • Operational Excellence
    • Manage, mentor, and develop a team within Fraud Strategy and Analytics, fostering a collaborative, innovative, and high-performance culture.
    • Establish team goals, measure performance, and ensure alignment with company objectives.
    • Drive operational efficiency and scale through process improvement, automation, and staff development.
    • Develop chargeback management strategies for card issuing and travel-related businesses.
  • Documentation & Compliance
    • Create and approve risk assessments for new product launches and enhancements.
    • Maintain current documentation, including credit policies, procedures, and process flows.
    • Ensure adherence to corporate and business unit policies, standards, and regulatory requirements.
Qualifications
  • Bachelor's degree required; advanced degree preferred. In lieu of a degree, additional years of segment-specific or risk-related experience may be considered.
  • 10+ years of experience in fraud strategy, fraud prevention, data analytics, and risk management.
  • 5+ years of experience in digital fraud risk management.
  • Deep expertise in identity and payment fraud methods, tools, and processes for prevention, detection, and fraud operations.
  • Advanced proficiency in data science techniques, including machine learning, predictive modeling, statistical analysis, and data.
  • Experience with fraud detection platforms, rule engines, and data visualization tools.
  • Strong understanding of payment processing systems, card networks, and risks specific to card transactions and corporate expense management.
  • Excellent analytical, organizational, and problem-solving skills.
  • Strong verbal and written communication skills, with the ability to present requirements and issues clearly.
  • Ability to lead multiple projects simultaneously, prioritize effectively, and thrive in a fast-paced, evolving environment.
  • Proficiency in Microsoft Office and analytical tools such as SageMaker, Python, R, SQL, and/or SAS.
  • Knowledge of risk management principles and regulatory compliance requirements.

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday

Pay Transparency 

The salary range for this position is $148,000 - $180,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits 

This role is not eligible for new employersponsored or current H-1 B visa holders. Applicants, including current OPT, L and other visa holders, must be authorized to work in the U.S. without the need for new employer sponsorship for themselves or their spouses now and in the future.

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Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST