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 ...

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

New

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

New

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

New

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

New

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

New

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 26, 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 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 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.

Contract Senior Intelligence Analyst

Leidos

Charlottesville, VA • On-site

Full-time

Posted 21 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 496 rated business services


Job description

Job Title: Contract Senior Intelligence Analyst
Required Security Clearance: TS/SCI
Location: National Ground Intelligence Center (NGIC) - Charlottesville, VA
Position Overview
Leidos is seeking a Senior Intelligence Analyst to serve as the FUSION program's principal contractor authority for analytic tradecraft, methodology, rigor, and finished-intelligence quality. This senior leader will guide analysts in selecting and applying appropriate methods, conduct final contractor reviews prior to Government submission, mentor the analytic workforce, and help integrate AI-enabled analytic tools into production while preserving objectivity, transparency, sourcing discipline, and human judgment.
Primary Responsibilities
  • Serve as the senior contractor advisor for analytic tradecraft, methodology, rigor, and finished-intelligence quality.
  • Guide analysts in applying structured analytic techniques, quantitative methods, qualitative methods, and advanced analytic tools.
  • Review contractor intelligence products prior to Government review to ensure they fully address customer requirements.
  • Train and mentor analysts on analytic standards, production processes, and effective human-machine teaming.
  • Evaluate and guide responsible use of AI-including generative AI-in analytic research, production, and quality control in accordance with U.S. Government policy.

Specific Duties
  • Participate in project kickoffs, analytic design reviews, and in-progress reviews to establish sound methodology throughout the product lifecycle.
  • Review analytical design worksheets and advise analysts on methods, assumptions, sourcing, and limitations.
  • Track contractor finished-intelligence production and identify risks to quality, schedule, or customer responsiveness.
  • Conduct final contractor review for grammar, clarity, logic, sourcing, classification, metadata, analytic standards, and compliance with the NGIC Product Review Guide.
  • Assess whether intelligence products clearly answer customer questions and distinguish facts, assumptions, judgments, and uncertainty.
  • Provide training, coaching, and mentorship to new and experienced analysts.
  • Serve as the contractor technical representative for tradecraft, methodology, analytic quality, and assessment production.
  • Evaluate AI-assisted analytic approaches for suitability, transparency, bias, reliability, sourcing, and security.
  • Ensure AI-generated or AI-assisted content is validated by qualified analysts and complies with ICD 203, ICD 206, classification guidance, and Government policy.

Basic Qualifications
  • Current Top Secret clearance with SCI eligibility at time of hire.
  • Ability to work full-time on-site at NGIC in Charlottesville, VA, beginning Day 1.
  • Ability to comply with all security, intelligence-oversight, information-handling, and training requirements.
  • Master's degree in intelligence studies, national security, international affairs, data analytics, or related field.
  • Twenty (20) years of progressively responsible intelligence-analysis experience supporting DoD or IC missions.
  • Minimum five (5) years serving as a senior intelligence analyst, analytic methodologist, tradecraft lead, branch-level reviewer, or equivalent analytic leader.
  • Extensive experience producing and reviewing all-source finished intelligence.
  • Demonstrated expertise applying IC analytic standards, structured analytic techniques, and appropriate quantitative/qualitative methods.
  • Experience mentoring analysts and conducting formal product reviews for rigor, sourcing, classification, and customer relevance.
  • Strong working knowledge or training in AI-enabled analytic tools, generative AI, data analytics, or human-machine teaming.

Preferred Qualifications
  • Certified Defense All-Source Analysis - Intelligence (CDASA-I).
  • Intelligence Fundamentals Professional Certification (IFPC) or comparable IC credential.
  • Experience supporting NGIC, INSCOM, DIA, Army G-2, or other Defense Intelligence Enterprise organizations.
  • Experience serving as a Government or contractor Senior Intelligence Analyst, analytic methodologist, tradecraft lead, analytic ombudsman, or product-quality evaluator.
  • Experience reviewing products against ICD 203, ICD 206, and agency-specific production guides.
  • Experience integrating secure generative AI, NLP, machine learning, or advanced analytics into intelligence workflows.
  • Experience across two or more FUSION mission areas (e.g., GMI, I2, S&TI, GEOINT, SIGINT, OSINT, targeting, watch-listing, wargaming).

This position is contingent upon contract award and requires full-time, on-site support at NGIC. Off-site work is subject to Government approval.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
August 6, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $139,100.00 - $251,450.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

Social media