1

Machine Learning Defense Jobs in Charlottesville, VA

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... Defense partners. They distill complex multi-domain data feeds into sophisticated visualizations ...

Devops Engineer III

Charlottesville, VA · On-site

$81K - $141K/yr

... Defense, and commercial industry. We build and develop best-in-class all domain and globally ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

Devops Engineer III

Charlottesville, VA · On-site

$52.25 - $71.75/hr

... Defense, and commercial industry. We build and develop best-in-class all domain and globally ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

Devops Engineer II

Charlottesville, VA · On-site

$68K - $116K/yr

... Defense, and commercial industry. We build and develop best-in-class all domain and globally ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

Devops Engineer III

Charlottesville, VA · On-site

$81K - $141K/yr

... Defense, and commercial industry. We build and develop best-in-class all domain and globally ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

Software Developer V

Charlottesville, VA · On-site

$116K - $208K/yr

... Defense, and commercial industry. We build and develop best-in-class all domain and globally ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

Devops Engineer IV

Charlottesville, VA · On-site

$52.25 - $71.75/hr

... Defense, and commercial industry. We build and develop best-in-class all domain and globally ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

Devops Engineer IV

Charlottesville, VA · On-site

$98K - $171K/yr

... Defense, and commercial industry. We build and develop best-in-class all domain and globally ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

... Defense, and commercial industry. We build and develop best-in-class all domain and globally ... Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ...

next page

Showing results 1-20

Machine Learning Defense information

See Charlottesville, VA salary details

$25.3K

$42.2K

$87.3K

How much do machine learning defense jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning defense in Charlottesville, VA is $42,245.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 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 Charlottesville, VA? For Machine Learning Defense jobs in Charlottesville, VA, the most frequently searched job titles are:
What cities near Charlottesville, VA are hiring for Machine Learning Defense jobs? Cities near Charlottesville, VA with the most Machine Learning Defense job openings:
Infographic showing various Machine Learning Defense job openings in Charlottesville, VA as of June 2026, with employment types broken down into 6% As Needed, 76% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $42,245 per year, or $20.3 per hour.

Cleared Software Engineer with Security Clearance

General Atomics

Charlottesville, VA • On-site

Other

Posted 22 days ago


General Atomics rating

9.0

Company rating: 9.0 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

10th of 71 rated aerospace companies


Job description

GA Intelligence develops best-in-class global situational awareness capabilities that process petabytes of data from diverse sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features, fuse data and form a rich live view of objects across land, sea and sky. We empower decision makers to solve meaningful challenges through innovative data science and scalable software engineering. GA Intelligence is looking for a Cleared Software Engineer to join our Federal Portfolio in the National Tactical Department. National Tactical Software Engineering staff design, develop and deploy novel track fusion and management products for Intelligence Community and Department of Defense partners. They distill complex multi-domain data feeds into sophisticated visualizations, orchestration and optimization for battlefield situational awareness, analysis, command and control. Our rapidly growing suite of federal products are used by thousands of intelligence analysts and military personnel around the globe to counter new and emerging threats to national security. *The team is open to hiring in either our Chantilly or Charlottesville locations. DUTIES AND RESPONSIBILITIES: * Design and develop enterprise-wide Java applications for battlefield command and control, geospatial data management, exploitation, visualization, and analysis. * Research and develop new software processing concepts for situational awareness and battlefield optimization.
* Maintain existing capabilities deployed to customer facilities and AWS cloud environments.
* Develop test scripts and frameworks to verify functionality and produce high quality software deliverables. * Communicate effectively with customers, management, and other engineering teams in secure environments. * Maintain the strict confidentiality of sensitive information. * Observe all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. * Work in a safe manner in accordance with established operating procedures and practices. We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Job Qualifications * Typically requires a bachelors or masters degree in computer science, information systems or related discipline and two or more years progressive software development experience with a bachelors degree. May substitute equivalent experience in lieu of education.
* Strong foundation in mathematics, computer networking, communication protocols, and/or data exchange formats. * Experience developing Java code in production environments. * Experience with software development in Linux. * Familiarity with AWS-hosted environments, Docker containerization and execution through Kubernetes. * An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and Agile methodologies.

What General Atomics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Atomics logo

About General Atomics

Sourced by ZipRecruiter

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1955