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Machine Learning Defense Jobs in Baltimore, MD (NOW HIRING)

Agile Defense

Data Scientist

Fort George G Meade, MD · On-site

... Defense's CDAO ADA IR program. This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at ...

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Machine Learning Defense information

See Baltimore, MD salary details

$25.3K

$42.3K

$87.4K

How much do machine learning defense jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning defense in Baltimore, MD is $42,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 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 Baltimore, MD?

For Machine Learning Defense jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Baltimore, MD look for?

The top searched job categories for Machine Learning Defense jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Machine Learning Defense jobs?

Cities near Baltimore, MD with the most Machine Learning Defense job openings:

Machine Learning Defense jobs near you

Artificial Intelligence/Machine Learning Engineer, Senior

Everwatch

Annapolis Junction, MD • On-site

$108.17 - $146.63/hr

Other

Re-posted 21 days ago

Job description

Job Title
Artificial Intelligence/Machine Learning Engineer, Senior
Overview
EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions. We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.
EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.
Commitment to Non-Discrimination:
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Responsibilities
Cyber and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer at EverWatch Solutions, you will work directly with mission users to develop and deploy artificial intelligence and machine learning solutions that enhance operational workflows, improve data accessibility, and support rapid decision-making in secure environments.
You will collaborate with operators, analysts, software developers, and mission leadership to capture operational needs and translate them into effective AI-enabled capabilities. Your work may include developing LLM-powered workflows, agent-based automation, and other AI/ML solutions that streamline analytical tasks and improve mission effectiveness.
You will support the integration of AI capabilities into existing operational systems while ensuring solutions are reliable, scalable, and compliant with security and governance requirements in classified environments. Additionally, you will contribute to data pipeline development, model evaluation, workflow optimization, and operational testing to support production-ready AI solutions.
Join us. The world can't wait.
Qualifications
You Have:
  • Experience with architecting and delivering enterprise-scale AI/ML solutions in professional or mission-oriented environments
  • Experience with large language models (LLMs), generative AI systems, and agentic AI development, including production deployment
  • Experience with designing and implementing end-to-end machine learning pipelines, including data engineering, model training, evaluation, deployment, and monitoring
  • Experience with providing technical leadership and mentoring engineering teams across complex development efforts
  • Knowledge of Python for AI/ML development, data engineering, and pipeline construction at an expert level
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders
  • TS/SCI clearance with a Polygraph
  • Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Mathematics, Statistics, or a related technical field with 10+ years of relevant experience; Master's degree with 7+ years; or PhD with 4+ years of relevant AI/ML or data science experience

Nice If You Have:
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Experience with cloud platforms such as AWS, Azure, or GCP, as well as distributed computing frameworks
  • Experience with containerization and orchestration tools such as Docker and Kubernetes
  • Experience with designing and implementing MLOps platforms, including end-to-end model lifecycle management and automated retraining systems
  • Experience with natural language processing (NLP) techniques, including topic modeling, text classification, named entity recognition, and semantic/vector search
  • Experience with multi-modal data processing across text, imagery, speech, and video modalities
  • Experience with contributing to technical proposals, RFP responses, and government white papers
  • Experience with supporting DoD or Intelligence Community programs
  • Knowledge of agentic AI frameworks, multi-agent architectures, and intelligent orchestration patterns
  • Knowledge of security requirements and compliance frameworks for AI/ML systems operating in government environments
  • Ability to apply AI/ML technologies within secure government and mission-focused environments

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required.
Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $108.17 to $146.63 per hour. The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.
Clearance Level
TS/SCI CIP
Job Locations
US-MD-Annapolis Junction
Skills
AI/ML, LLM, API, Python

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