ZipRecruiter

Log In

1

Machine Learning Defense Jobs in Coppell, TX (NOW HIRING)

Deloitte

Cyber - SecOps - Consultant

Dallas, TX · On-site

... machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI ...

Deloitte

Cyber - SecOps - Consultant

Fort Worth, TX · On-site

... machine learning for cyber defense and operations. The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI ...

Elevance Health

Research Scientist Senior

Grand Prairie, TX · On-site +1

$93K - $118K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... defense presentations. * Leads the proposal development process, project pricing, and project ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

New

Qorvo, Inc.

Data Engineer

Richardson, TX · On-site

$103K - $124K/yr

... and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect ... Lead the architecture and implementation of production-grade data science and machine learning ...

Qorvo, Inc.

Data Engineer

Richardson, TX · On-site

$103K - $124K/yr

... and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect ... Lead the architecture and implementation of production-grade data science and machine learning ...

next page

Showing results 1-20

All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Coppell, TX

Machine Learning Defense information

See Coppell, TX salary details

$23.5K

$39.3K

$81.2K

How much do machine learning defense jobs pay per year?

As of Aug 14, 2026, the average yearly pay for machine learning defense in Coppell, TX is $39,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,500.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Machine Learning Defense jobs in Coppell, TX?

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

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

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

Machine Learning Defense jobs near you

Senior Machine Learning Research Scientist, Secure AI Lab

AIToolboard

Arlington, TX • On-site

$140 - $190/hr

Other

Posted 9 days ago

Job description

Jobs / Senior Machine Learning Research Scientist, Secure AI Lab

Senior Machine Learning Research Scientist, Secure AI Lab

Full-time

About the Role

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.As our government customers adopt AI and machine learning toprovideleap-ahead mission capabilities, we• build real-world, mission-scale AI capabilities through solving practical engineering problems• discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities• prepare our customers to be ready for the unique challenges of adopting, deploying, using, andmaintainingAI capabilities• identifyand investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscapeAre you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.Overview:As a Senior Machine LearningResearch Scientist,you will specialize inconductingresearch into the vulnerabilities of AIandML algorithms and securing against those vulnerabilities.TheSecure AILab within the SEI’s AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, theSecure AILabconducts and appliescutting-edgeresearch toprotectAI systems fromadversaries who aim to manipulatethe systemto learn, do, or revealsomething itisn’tsupposed to.TheSecure AILab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:

#J-18808-Ljbffr

Apply