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Adversarial Machine Learning Jobs in Washington (NOW HIRING)

TheIncLab

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

Transformer-based models, adversarial networks, genetic algorithms * Retrieval-Augmented Generation (RAG) where appropriate * Design and implement machine learning models using frameworks such as ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Transformer-based models, adversarial networks, genetic algorithms * Retrieval-Augmented Generation (RAG) where appropriate * Design and implement machine learning models using frameworks such as ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Transformer-based models, adversarial networks, genetic algorithms * Retrieval-Augmented Generation (RAG) where appropriate * Design and implement machine learning models using frameworks such as ...

IntelliGenesis LLC®

Senior AI Engineer

Annapolis Junction, MD · On-site

$106K - $146K/yr

... adversarial machine learning and AI security • Background in cyber operations or network traffic analysis • Experience deploying models in edge or disconnected environments • Familiarity with ...

Arcfield

Cyber Data Scientist IV

Chantilly, VA · On-site

Knowledge of adversarial machine learning techniques * Model development for security use cases (user behavior analytics, network traffic analysis) * Experience with security-focused data pipelines ...

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Adversarial Machine Learning information

What are some common challenges faced by professionals working in Adversarial Machine Learning roles?

Adversarial Machine Learning professionals often face the challenge of staying ahead of rapidly evolving attack techniques that can compromise model integrity and security. Managing the balance between model performance and robustness is another key difficulty, as defenses against adversarial attacks can sometimes reduce accuracy or increase computational costs. Collaboration with data scientists, security teams, and software engineers is vital for developing resilient models and implementing effective defenses. Staying current with the latest research and tools is essential for success in this dynamic field.

What are the key skills and qualifications needed to thrive as an Adversarial Machine Learning specialist, and why are they important?

To excel in Adversarial Machine Learning, you need a strong background in machine learning, deep learning, statistics, and computer science, typically supported by an advanced degree in a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial attack and defense libraries, and knowledge of security protocols are crucial. Creative problem-solving, critical thinking, and strong communication skills help in designing robust models and explaining complex threats to stakeholders. These competencies are vital to anticipate vulnerabilities, safeguard AI systems, and ensure the reliability of machine learning models in real-world applications.

What is the difference between Adversarial Machine Learning vs Data Scientist?

AspectAdversarial Machine LearningData Scientist
CredentialsKnowledge of machine learning, cybersecurity, and threat detectionDegree in data science, statistics, or related fields
Work EnvironmentResearch labs, cybersecurity teams, AI developmentBusiness analytics, data analysis, model development
Industry UsageAI security, cybersecurity, machine learning researchBusiness, finance, healthcare, tech companies

Adversarial Machine Learning focuses on understanding and defending AI models against malicious inputs, often within cybersecurity contexts. Data Scientists analyze data to extract insights, build models, and support decision-making across various industries. While both roles require machine learning knowledge, Adversarial Machine Learning emphasizes security and robustness, whereas Data Scientists focus on data analysis and predictive modeling.

What is adversarial machine learning?

Adversarial machine learning is a field of study focused on understanding and defending against attacks that manipulate machine learning models by feeding them deceptive input, known as adversarial examples. These attacks can cause models to make incorrect predictions, raising concerns about the security and reliability of AI systems, especially in critical applications like image recognition and autonomous vehicles. Researchers in this area develop techniques to detect, prevent, and mitigate these vulnerabilities to make machine learning systems more robust.
What are popular job titles related to Adversarial Machine Learning jobs in Washington? For Adversarial Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Adversarial Machine Learning jobs in Washington look for? The top searched job categories for Adversarial Machine Learning jobs in Washington are:
Adversarial Machine Learning jobs near you
Infographic showing various Adversarial Machine Learning job openings in Washington as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, 8% Hybrid, and 17% Remote job distribution.
Artificial Intelligence and Machine Learning Subject Matter Expert

Artificial Intelligence and Machine Learning Subject Matter Expert

Koniag, Inc.

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Koniag Professional Services, LLC, a Koniag Government Services company, is seeking an Artificial Intelligence and Machine Learning Subject Matter Expert with a TS/SCI security clearance to support KPS and our government customer at the Pentagon, Arlington, VA.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
Koniag Professional Services (KPS)currently has an opening for an Artificial Intelligence and Machine Learning Subject Matter Expert for the Department of War, Office of the Under Secretary of War for Research and Engineering (OUSW (R&E)), CDAO Maven Smart Systems (MSS) Program Office.
Essential Functions, Responsibilities & Duties may include, but are not limited to:
  • Assist Government Clients with planning and overseeing AI/ML efforts on both a small and large scale.
  • Provides Subject Matter Expertise for the design, development or selection, and deployment of artificial intelligence technologies and tools in support of the Government.
  • Provide technical consultative advisement for all artificial intelligence and machine learning technology systems, processes, software design and development projects and initiatives.
  • Leverages commercial industry expertise for the development or selection and delivery of artificial intelligence and machine learning technology solutions for operational users.
  • Provides advisement and consultation on the Client's artificial intelligence and machine learning strategy for technology platforms, partnerships, and external relationships.
  • Applies extensive knowledge of artificial intelligence, machine learning, and data science concepts, methodology, and techniques to design and enhance the design of existing technical specifications that need to be deployed for artificial intelligence and machine learning technology solutions.
  • Provides consultation and advisement on the development, engineering, and integration of artificial intelligence and machine learning-based technological capabilities.
  • Provide expertise in the implementation and engineering support of artificial intelligence and machine learning systems to include solving relevant technical and programmatic problems and assessing the technical feasibility of commercial solutions.
  • Collaborates with other Technical Experts across the Client's internal and external stakeholders to identify new mission-focused problems that can be solved with artificial intelligence and machine learning capabilities. Leverages best practice research to develop and recommend artificial intelligence and machine learning technology solutions and business cases.
  • Provides technical expertise to assist the Client and their internal and external stakeholders with identifying and applying the operational value and outcomes of artificial intelligence and machine learning technologies across their organizations.
  • Prepares technical documentation, white papers, briefings, and implementation plans in support of the Government.
  • Conducts exercise planning and execution to evaluate software functionality and performance.
  • Plans and participates in user engagement events with military personnel and industry representatives.
  • Generates key performance indicators, measures of performance, and success criteria for use in software testing and validation.
  • Supports scenario development based on understanding of adversarial forces and current Joint Military Doctrine for phased product development, demonstration, and experimentation.
  • Responsible for the technical integrity of work performed and deliverables associated with the systems engineering area of responsibility.
  • Assist other team members in other specialties as needed to accomplish the overall mission.

Requirements:
  • 15+ years of relevant experience
  • Experience with or a strong understanding of Military Operations Center (MOC, COC, CEC) operations and procedures.
  • Knowledge of and experience with the Find, Fix, Track, Target, Engage, Assess (F2T2EA) targeting process.
  • Experience with Joint Military exercise planning and execution.
  • Strong understanding of Joint U.S. Military Doctrine, military technologies, and current operations.
  • Strong understanding of major U.S. adversaries, adversarial doctrine, and military technology.
  • Experience with quantitative and qualitative technical evaluation of software and services.
  • Deep systems engineering comprehension of the state of the art in large and small AI/ML implementations and the respective best practices and challenges.
  • Commercial industry experience in developing Artificial Intelligence and Machine Learning technology strategies and solutions for the Federal government; a state or local government; or a large corporation.
  • Extensive knowledge of artificial intelligence, machine learning, and data science concepts, methodology, techniques, and technologies
  • Experience defining and developing new artificial intelligence and machine learning technology solution and tool.
  • Experience with DoD Data Policy, FedRAMP Impact Levels, and management of classified data sets.
  • Experience managing complex technology projects for cross-functional teams
  • Strong writing and briefing skills to present technical information clearly to non-technical audiences.
  • Demonstrates excellent oral and written communication skills, a high level of integrity, critical thinking, and leadership
  • Must be a self-starter that can recognize needs and act with little to no guidance
  • Advanced MS Word, PowerPoint, Excel, and Outlook application skills

Education:
  • Bachelors Degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Engineering, Software Engineering, Mathematics, Operations Research, or related field.

Clearance Requirement:
  • To be considered, must have a Current/Active TS/SCI security clearance

Office Location and Travel:
  • Arlington, VA
  • Occasional travel in support of the Government Customer with advance notification

Our Equal Employment Opportunity Policy
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
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About Koniag

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

Social media

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