ZipRecruiter

Log In

1

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

Cornerstone Defense

$180K/yr

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space ... Other Machine Learning models and techniques

Cornerstone Defense

Software Engineer

Annapolis, MD · On-site

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space ... Machine Learning, Stream, Batch * Virtualization Environments: Kubernetes, Containers (Docker ...

Cornerstone Defense

Software Engineer

Annapolis, MD · On-site

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space ... Machine Learning, Stream, Batch * Virtualization Environments: Kubernetes, Containers (Docker ...

Nightwing

Senior Software Engineer

Annapolis, MD · On-site

$99K - $206K/yr

Integrate machine learning models and AI-driven analytics to augment signal processing and network ... defense. Security Clearance Required: TS/SCI clearance with polygraph (active) The salary ...

GRVTY

Data Scientist 2

Annapolis, MD · On-site

$115K - $145K/yr

This role combines artificial intelligence and machine learning skills with a strong foundation in ... defense-including the ones still being explored. Our growing capabilities create complementary ...

Parsons Corporation

Senior Data Scientist

Annapolis, MD · On-site

$112K - $196K/yr

Develop and implement statistical, and machine learning techniques to create descriptive and ... defense, security, intelligence, infrastructure, and environmental. We promote a culture of ...

GRVTY

Data Scientist 3

Annapolis, MD · On-site

$155K - $185K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced ... defense-including the ones still being explored. Our growing capabilities create complementary ...

next page

Showing results 1-20

All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Easton, MD

Machine Learning Defense information

See Easton, MD salary details

$25.8K

$43.2K

$89.2K

How much do machine learning defense jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning defense in Easton, MD is $43,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,600.00 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 job categories do people searching Machine Learning Defense jobs in Easton, MD look for?

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

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

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

Machine Learning Defense jobs near you

Expert Software Engineer (Research & ML Model Development)

Cornerstone Defense

On-site

$180K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

  • Location: Annapolis Junction
  • Type: Contract
  • Job #4007

Title: Expert Software Engineer (Research & ML Model Development)
Location: Annapolis Junction, MD
Compensation Range: $250 - $270K
*Clearance: *Active TS/SCI w/ Polygraph needed to apply *
Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Benefits Overview:
Cornerstone Defense offers a very comprehensive benefits package including, but not limited to: Medical, Dental and Vision Plans * Generous PTO Policy * 401(k) * HSA and FSA options * Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program * Referral Program * Leads Generation Program * CollegeAmerica 529 * Fitness Reimbursement Program * Travel Assistance * Norton Lifelock Benefit Solutions * Life Planning Financial & Legal Services *
Position Description:
The Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools. Develop new methods for automating compliance functions and improve existing methods. Contractor will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. They will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
Qualifications:
Twenty (20) years experience as a SWE, in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required.
Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Position Required Skills:
  • Experience with Java, Scala, and Python
  • Experience with Lucene, JEXL, SQL, JSON
  • Random Forest and ability to do feature development for Random Forest
  • Experience with Machine Learning Model building and monitoring
  • Experience developing in a Linux operating environment
  • Experience with Ghostmachine (Map/Reduce)
  • Experience with GM Learn
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/Gitlab and/or Stash/Bitbucket
  • Experience with Jira
  • Experience with Confluence
  • Experience with Scikit-learn
  • Agency Compliance standards, policies, and authorities
  • Experience with Agency corporate systems
  • Experience with documentation and reviewing documentation

Position Desired Skills:
  • Data Science skills/background
  • Experience with AWS
  • Experience implementing ML systems
  • Experience with Spark
  • Exploratory Data Analysis (EDA)
  • Agentic AI
  • Large Language Models (LLM)
  • Machine Learning Feature Development
  • Other Machine Learning models and techniques

Apply