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

AeroVironment, Inc.

Software Engineer

Annapolis, MD · On-site

$83K - $150K/yr

... defense missions. You'll contribute across the full development lifecycle and support backend ... Exposure to batch analytics, machine learning pipelines, or AWS Salary Range: $83,500 - $150,000 ...

Omm IT Solutions

Senior Splunk Engineer

Annapolis, MD · On-site

$113K - $155K/yr

... Department of Defense and Intelligence Community clients. We are looking for a talented and ... Experience with Splunk Machine Learning Toolkit (MLTK) \n * Experience with scripting languages ...

KeyLogic Systems

Software Engineer 1

Annapolis, MD · On-site

Machine Learning, Stream, Batch • Virtualization Environments: Kubernetes, Containers (Docker ... defense sectors, with a 20+ year portfolio of successes supporting DOE, DOC, EPA, DOD, DHS, FBI ...

Synergy ECP

Full Stack Software Engineer

Annapolis, MD · On-site

$215K/yr

S. intelligence and defense communities. The company leverages its expertise in data transport ... Machine Learning, Stream, Batch * Virtualization Environments: Kubernetes, Containers (Docker ...

Accenture Federal Services

Data Scientist

Annapolis, MD · On-site

$120K - $220K/yr

... clients across defense, national security, public safety, civilian, and military health ... Familiarity with production-level deployment of machine learning models * Knowledge of data mining ...

Bitwise

Software Engineer (SWE), Level 2

Annapolis, MD · On-site

... Defense. We're a small and growing company, so you can expect to hop in on the ground floor with us ... Apply AI and machine learning expertise to solve complex technical challenges * Elicit requirements ...

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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

Software Engineer with Security Clearance

AV, Inc.

Annapolis, MD • On-site

$83K - $150K/yr

Contractor

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

Worker Type Regular Job Description Job Summary
The primary role of the Software Engineer is to design, develop, and maintain web-based software applications that support national defense missions. You'll contribute across the full development lifecycle and support backend services, REST APIs, and data pipelines that enable visualizations, analytics, and operational tools. Position Responsibilities * Build and maintain web applications and backend services using Java and Python
* Develop RESTful APIs and integrate external data sources
* Debug and correct software defects while optimizing performance
* Contribute to DevOps workflows and CI/CD automation
* Write and maintain technical documentation, tests, and release notes
* Collaborate with developers, analysts, and mission stakeholders to define and refine features Basic Qualifications * Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Math, or Physics is required or equivalent combination of education, training, and experience
* 5+ years of relevant experience
* Proficiency in Java, Python, and frameworks like Spring Boot or Flask
* Experience with Git, containerized environments (Docker/Kubernetes), and virtualized development environments
* Strong understanding of distributed systems, microservices, and data pipelines
* An active TS/SCI with Polygraph Other Qualifications & Desired Competencies * Familiarity with ElasticSearch, MongoDB, Redis, or ArangoDB
* Experience integrating streaming data frameworks like Kafka or Flink
* Exposure to batch analytics, machine learning pipelines, or AWS Salary Range: $83,500 - $150,000 The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. ITAR Requirement: This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A "U.S. person" according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits . We also encourage you to review our company website at http://www.avinc.com to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

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