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

Deloitte

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 ...

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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 Sep 13, 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 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.

Summer 2027 - Software Engineer Intern

Dallas, TX • On-site

Shield AI
Software Development • 11 - 50 employees
Learn more about Shield AIexternal

$37 - $97/hr

Full-time, Temporary, Internship

Posted 5 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 
 
Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our 10-week paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship!

About the Role
Shield AI's Software Development Engineer Intern program spans engineers who design, build, and test the code that powers our autonomous systems - from user-facing applications and embedded flight software to machine learning models and the underlying systems platforms that tie it all together. Over 10-12 weeks, interns work alongside full-time engineers to analyze requirements, write and debug production-quality code, and ship a real feature or capability using our standard Agile development practices.

Example Intern Projects

  • Applications: Build a new feature or internal tool (web, mobile, or desktop) that streamlines a mission-planning or fleet-management workflow.

  • Firmware/Embedded: Develop and debug embedded C/C++ code for a flight controller or sensor module, including bring-up and hardware-in-the-loop testing.

  • Machine Learning: Train, evaluate, and integrate a perception or decision-making model (e.g., object detection, sensor fusion) into an autonomy pipeline.

  • Systems Development: Extend a platform tool, API, or data pipeline that supports autonomy software, simulation, or cloud infrastructure.

Required Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field

  • Proficiency in at least one modern programming language (e.g., C, C++, Python, Java, or JavaScript)

  • Solid foundation in data structures, algorithms, and software design principles

  • Experience writing, testing, and debugging code, whether through coursework, personal projects, or prior internships

  • Familiarity with version control (e.g., Git) and collaborative development workflows

  • Strong analytical and problem-solving skills, with the ability to break down ambiguous requirements into working code

  • Effective written and verbal communication skills and the ability to work collaboratively in a team environment

Preferred Qualifications

  • Exposure to mobile or web application frameworks and full-stack development

  • Hands-on experience with embedded systems, microcontrollers, real-time operating systems, or assembly-level debugging

  • Coursework or projects involving machine learning, statistics, probability theory, or deep learning frameworks (e.g., PyTorch, TensorFlow)

  • Experience with cloud platforms, databases, networking, or distributed systems

  • Familiarity with Agile/Scrum development methodologies

  • Prior internship, research, or club/competition experience in robotics, autonomy, or aerospace applications

  • Interest in or exposure to the defense, aerospace, or autonomous systems industry

$37 - $97 an hour
$37- $97 an hour - Your salary will be determined by academic level.  
 
Pay is just one part of your total rewards package at Shield AI. You may also be eligible for a stipend to subsidize relocation costs. As an intern, you will receive the opportunity to attend presentations from company leaders, social and networking events, as well as mentorship from current Shield AI Engineers. Interns are also eligible for paid company holidays.  
 
#intern
 
Shield AI is proud to offer competitive pay and a housing stipend for qualified hires. While our People Experience team provides resources and assistance, interns are responsible to find their own housing and travel to and from their office location.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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