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Machine Learning Defense Jobs in Louisiana (NOW HIRING)

Experience with military vehicle systems, defense industry standards, and relevant protocols is highly desirable. * Familiarity with machine learning and artificial intelligence technologies.

Experience with military vehicle systems, defense industry standards, and relevant protocols is highly desirable. * Familiarity with machine learning and artificial intelligence technologies.

Experience with military vehicle systems, defense industry standards, and relevant protocols is highly desirable. * Familiarity with machine learning and artificial intelligence technologies.

... defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts ...

... defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts ...

Senior Cyber Security Analyst

Shreveport, LA · On-site

$82K - $105K/yr

... machine learning, we create innovative, smart, and scalable solutions that make a difference ... Research advanced threat actors and develop forward-looking threat intelligence and defense ...

New

... defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts ...

... defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts ...

... defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts ...

... defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts ...

... defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts ...

Showing results 21-40

Machine Learning Defense information

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 Louisiana?

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

What job categories do people searching Machine Learning Defense jobs in Louisiana look for?

The top searched job categories for Machine Learning Defense jobs in Louisiana are:

What cities in Louisiana are hiring for Machine Learning Defense jobs?

Cities in Louisiana with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Assistant Professor, Computer Science

Ruston, LA • On-site

Louisiana Tech University
Colleges, Universities, and Professional Schools • 1 - 5K employees

Full-time

Re-posted 27 days ago


Louisiana Tech University rating

6.7

Company rating: 6.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Thank you for your interest in employment with Louisiana Tech University.

The College of Engineering and Science (COES) at Louisiana Tech University invites applications for a tenure-track faculty position in the Computer Science program. We seek highly qualified, research-active scholars specializing in cybersecurity and cyber operations. Candidates with expertise combining cybersecurity with artificial intelligence, machine learning, quantum computing, robotics, smart health, the Internet of Things (IoT), and cyber-physical systems are encouraged to apply.

Louisiana Tech University, recognized as a national university by the 2024 U.S. News & World Report, is designated as a Center of Academic Excellence in Cybersecurity for Cyber Defense (CAE-CD) and Cyber Research (CAE-R). The College of Engineering and Science is deeply committed to advancing cybersecurity research and education, addressing critical challenges such as cyber resilience, critical infrastructure protection, and emerging cyber threats. Faculty research efforts are supported by specialized research centers, including the Cybersecurity Applied Innovation Laboratory (CyAIL) and the Center for Secure Cyberspace (CSC), which facilitate collaborative research and provide opportunities for securing external research funding.

The College is experiencing significant growth, with nearly 3,000 students, including approximately 130 doctoral students among 300 graduate students. Annual research expenditures within the College have averaged $16 million over the past five years. The Computer Science program serves approximately 550 undergraduate majors and is the second-largest degree granting program at the university. Louisiana Tech offers multiple computing-oriented degree programs that support cybersecurity research and education, including the B.S. and M.S. in Computer Science, B.S. in Cyber Engineering, Ph.D. in Computational Analysis and Modeling (CAM), and Ph.D. in Engineering with a concentration in Cyberspace.

With the increasing frequency, sophistication, and impact of cyber threats, there is a pressing need for cutting-edge research and innovative educational programs in cybersecurity. Louisiana Tech is committed to strengthening its research and teaching capabilities in areas such as cyber threat intelligence and mitigation, reverse engineering and digital forensics, cyber operations and resilience, cryptography and secure communication, AI and machine learning for cybersecurity, cyber-physical systems and IoT security, and quantum computing and post-quantum cryptography. Candidates whose research addresses interdisciplinary cybersecurity challenges or integrates emerging technologies with security applications are particularly encouraged to apply.

Successful candidates must hold a Ph.D. in Computer Science or a closely related field and demonstrate a strong record of scholarly achievement, including peer-reviewed publications and the potential to establish a robust, externally funded research program. Candidates should exhibit a commitment to excellence in teaching, with the ability to develop and deliver cybersecurity-focused curricula at both the undergraduate and graduate levels. They should also have a proven ability to mentor and advise students, along with strong written and oral communication skills. Faculty members are expected to conduct high-impact research, publish in leading academic venues, secure extramural research funding, develop and teach cybersecurity-related courses, engage in interdisciplinary collaborations, and contribute to the university's broader mission through service and leadership.

Applicants should submit a single PDF document containing a cover letter, detailed curriculum vitae, research statement, teaching statement, and full contact information for at least four references. Applications will be reviewed immediately and will continue until suitable candidates are identified. The anticipated start date for the position is September 1, 2025.

Louisiana Tech is an Equal Opportunity/Affirmative Action/ADA Employer and places a high priority on the creation of an environment supportive of ethnic minorities, women, veterans, and persons with disabilities.

Posting Close Date: This position will remain open until filled.

Please Note: Applications must be completed by 11:59 p.m. on the Job Closing Date to ensure consideration.

Note to Applicant:

Applicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications in their cover letter. The search committee will use this information during the initial review of application materials.

References will be contacted at the appropriate phase of the recruitment process.

This position may require a criminal background check to be conducted on the candidate(s) selected for hire.

As part of the hiring process, applicants for positions at the Louisiana Tech University may be required to demonstrate the ability to perform job-related tasks.


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