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

Raytheon

Senior Algorithm Systems Engineer

Plano, TX · On-site

$100K - $137K/yr

Raytheon is the world's largest aerospace and defense company, dedicated to solving complex ... Machine Learning. • Knowledge developing and implementing signal processing algorithms for ...

Deloitte

Cyber Manager - AI SOC

Dallas, TX · On-site

$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 ...

Deloitte

Cyber Senior Consultant - AI SOC

Dallas, TX · On-site

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 ...

Qorvo, Inc.

Engineer, BAW R&D Process

Richardson, TX

... 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 ...

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

Machine Learning Defense information

See Allen, TX salary details

$23.7K

$39.6K

$81.9K

How much do machine learning defense jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning defense in Allen, TX is $39,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,800.00 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 Allen, TX?

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

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

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

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

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

Machine Learning Defense jobs near you
Infographic showing various Machine Learning Defense job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,610 per year, or $19 per hour.

Data Scientist -Top Secret Clearance Required

Raytheon

Plano, TX • On-site

Full-time

Re-posted 23 days ago

Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

2nd of 543 rated manufacturers

Job description

Job Summary:
Raytheon is seeking a Data Scientist to support Radar Sensor Systems (RSS). In this role, you will apply data science and software engineering techniques to develop analytic products and collaborate with various stakeholders to enhance data-driven decision-making across multiple functions.
Responsibilities:
• Design and develop data visualizations using tools such as PowerBI, Tableau, or similar platforms to communicate insights effectively.
• Perform data analysis on large, complex data sets, generating actionable reports and recommendations.
• Utilize experience with various databases for data input, report generation, and data management.
• Apply machine learning algorithms for data cleaning, exploratory data analysis, and data visualization.
• Implement data reduction, feature selection, and feature engineering techniques to provide metrics that support evidence-based decision-making.
• Automate processes to enhance efficiency and scalability in handling large datasets.
• Collaborate with engineering teams to communicate findings and address technical challenges.
• Conduct analysis at all phases of the system lifecycle, including concept, design, modeling, testing, operation, and maintenance.
• Interface with stakeholders, including customers, programming management, and senior leadership, to support data-driven strategies.
Qualifications:
Required:
• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) discipline and a minimum of 2 years of prior relevant experience
• Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical and/or machine learning applications (beyond academic examples).
• Databases management and SQL development.
• Experience with software development, including documentation, testing, bug tracking, version control, and MLOps
• Active and transferable U.S. government issued DoD Top Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Preferred:
• Active DoD Top Secret clearance with investigation within five years
• Advanced degree in Science, Technology, Engineering or Mathematics (STEM preferred)
• Programming languages and tools such as Python, scikit-learn, Jupyter, SQL (Microsoft SQL, MySQL), Tableau, and R.
• Model Based Systems Engineering (Cameo Enterprise Architecture (SysML specifically), digital thread concepts, digital engineering, MBSE with DevSecOps).
• Diagnoses and resolve RF and system power issues
• MATLAB/Simulink, DOORS, DNG, Cameo, Jira, and Confluence
Company:
Raytheon, an RTX business, creates next-generation defense solutions that are smarter, faster and better than previously thought possible. Founded in 1948, the company is headquartered in Waltham, USA, with a team of 10001+ employees. The company is currently Late Stage.

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