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Adversarial Machine Learning Jobs in Laurel, MD (NOW HIRING)

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 ...

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 ...

IntelliGenesis LLC

Senior AI Engineer

Reston, VA · On-site

$215K - $245K/yr

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

IntelliGenesis

Senior AI Engineer

Reston, VA · On-site

$215 - $245/hr

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

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All JobsAdversarial Machine Learning JobsAdversarial Machine Learning Jobs in Laurel, MD

Adversarial Machine Learning information

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How much do adversarial machine learning jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for adversarial machine learning in Laurel, MD is $21.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $22.64 per hour, depending on experience, location, and employer.

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 Laurel, MD? For Adversarial Machine Learning jobs in Laurel, MD, the most frequently searched job titles are:
What job categories do people searching Adversarial Machine Learning jobs in Laurel, MD look for? The top searched job categories for Adversarial Machine Learning jobs in Laurel, MD are:
What cities near Laurel, MD are hiring for Adversarial Machine Learning jobs? Cities near Laurel, MD with the most Adversarial Machine Learning job openings:
Adversarial Machine Learning jobs near you

Enterprise Account Director- Federal

HiddenLayer

Washington, DC • Remote

Full-time

Re-posted yesterday

Job description

Enterprise Account Director- Federal

Remote [within the US], DC Metro Area preferred

Clearance- Active Top Secret or TS eligible strongly preferred

ABOUT THE ROLE:

As a Federal Account Director, you will be responsible for driving revenue growth across HiddenLayer's federal business, including the Intelligence Community (IC), Department of Defense (DoD), Department of Homeland Security (DHS), and Civilian Federal Agencies.

You will develop and execute account strategies that help federal organizations secure their AI and machine learning environments against emerging threats. Working closely with Solutions Engineering, Product, Customer Success, and Executive Leadership to guide customers through the evaluation, acquisition, and adoption of HiddenLayer's AI security platform.

This role requires a consultative sales professional who can engage both technical and executive stakeholders, understand complex cybersecurity and AI challenges, and align HiddenLayer's capabilities to mission requirements and strategic priorities.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

Drive Federal Growth
  • Utilize existing relationships and continuously build new connections within government agencies, industry partners, and the federal contracting community to identify, develop, and advance strategic opportunities.
  • Identify, qualify, and advance opportunities throughout the federal sales lifecycle.
  • Develop and execute account plans that align HiddenLayer solutions to agency missions, modernization initiatives, and cybersecurity priorities.
Lead Technical and Strategic Engagements
  • Conduct discovery sessions to understand customer environments, security challenges, AI adoption initiatives, and operational requirements.
  • Collaborate with Solutions Engineering and Product teams to deliver tailored demonstrations, workshops, and technical evaluations.
  • Articulate the business, mission, and security value of HiddenLayer's platform to both technical and non-technical audiences.
  • Serve as a trusted advisor on emerging AI security risks, adversarial machine learning threats, and best practices for securing AI systems.
Navigate Federal Acquisition
  • Lead opportunity strategy, proposal development, pricing discussions, contract negotiations, and procurement activities.
  • Coordinate with partners, system integrators, and government stakeholders to accelerate adoption and contract execution.
  • Maintain accurate pipeline, forecast, and account activity data within CRM systems.
  • Track opportunities against milestones and acquisition timelines to ensure effective execution and visibility.
Partner Across the Organization
  • Collaborate closely with Customer Success to support customer adoption, expansion, and renewal efforts.
  • Provide market intelligence and customer feedback to Product, Engineering, and Executive Leadership teams.
  • Represent HiddenLayer at industry events, conferences, and government-focused engagements.
  • Travel as needed to support customer meetings, events, and strategic account activities.

WHO YOU ARE:

  • Located in the DC Metro Area
  • Active or previous TS Clearance
  • 7+ years of experience selling cybersecurity platforms, AI/ML technologies, cloud security, or emerging technology solutions to U.S. Federal Government customers.
  • Demonstrated success managing complex federal sales cycles and exceeding quota expectations.
  • Familiarity with artificial intelligence and machine learning technologies, including the security risks and challenges associated with AI adoption.
  • Ability to engage credibly with CISOs, security teams, data scientists, engineers, program managers, and senior government leaders.
  • Experience navigating federal procurement processes, contract vehicles, and acquisition organizations.
  • Experience using Salesforce or similar CRM platforms for pipeline management and forecasting.

BONUS:

  • Experience scaling Customer Success at a Series A/B startup.
  • Experience supporting customers within the Intelligence Community.
  • Technical background in cybersecurity, artificial intelligence, machine learning, cloud infrastructure, or data science.
  • Experience working with federal systems integrators and channel partners.
  • Relevant certifications such as Security+, CISSP, PMP, ITIL, Certified Customer Success Manager (CCSM), or similar.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.