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Machine Learning Defense Jobs (NOW HIRING)

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

Hadrian is building autonomous factories to revolutionize manufacturing for aerospace and defense industries. The Senior Machine Learning Engineer will be responsible for designing, building, and ...

CoVar

Machine Learning Engineer

Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Department of Defense project experience * Active US security clearance (secret or higher) Benefits

ManTech International

Machine Learning Engineer

$128.80K - $214.50K/yr

... Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

... defense, law enforcement and public safety agencies around the world, and in the toughest ... THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

... defense research and development. We are seeking a talented and innovative Machine Learning ... Engineer to join our dynamic team. In this role, you will be responsible for designing and ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

... defense, aerospace, and advanced mobility programs will run on. If you want to work on hard ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions ... Integrate machine learning models into real-time and batch processing systems * Optimize model ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

... defense research and development. We are seeking a talented and innovative Machine Learning ... Engineer to join our dynamic team. In this role, you will be responsible for designing and ...

Hadrian Automation

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM ...

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$25.5K

$42.6K

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How much do machine learning defense jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning defense in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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 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 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.
More about Machine Learning Defense jobs
What cities are hiring for Machine Learning Defense jobs? Cities with the most Machine Learning Defense job openings:
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Machine Learning Defense jobs near you
Infographic showing various Machine Learning Defense job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer

Hadrian

Los Angeles, CA • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
Hadrian is building autonomous factories to revolutionize manufacturing for aerospace and defense industries. The Senior Machine Learning Engineer will be responsible for designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis, utilizing deep learning models and collaborating with engineering teams.
Responsibilities:
• Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
• Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
• Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
• Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
Qualifications:
Required:
• Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
• 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
• Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
Preferred:
• A Master’s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
• Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
• Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
• Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
• Prior experience with distributed training using cloud infrastructure
• Prior experience with visual document understanding and layout analysis
• Published research or achieved SOA results on an ML application
• Prior experience with multi-modal deep learning models
• You have a passion for manufacturing and believe that the industry needs better software
• Prior experience working in a startup environment
Company:
Hadrian builds AI-powered automated factories that manufacture precision parts for defense, aerospace, and space industries. Founded in 2020, the company is headquartered in Hawthorne, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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