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Machine Learning Defense Jobs in Washington (NOW HIRING)

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

Description SAIC is seeking a talented and experienced Machine Learning Developer to join our ... defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings ...

SAIC

Machine Learning Developer

Arlington, VA · On-site

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets ...

Dark Wolf

Machine Learning Engineer

Herndon, VA · On-site

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop ...

Dark Wolf

Machine Learning Engineer

Chantilly, VA · On-site

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. They are seeking a highly motivated Machine Learning Engineer to design, develop ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy ... Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions ...

Navstar

Machine Learning Engineer

Centreville, VA

$102K - $144.38K/yr

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... for defense and commercial applications. These development efforts require a range of skills and ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions ... Integrate machine learning models into real-time and batch processing systems * Optimize model ...

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Machine Learning Defense information

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 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 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.
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Machine Learning Defense jobs near you
Machine Learning Developer

Machine Learning Developer

SAIC

Arlington, VA • Hybrid

Other

Posted 27 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 203 rated it services

Job description

Description

SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team.

This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.

The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production.

Key Responsibilities:

  • Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.

  • Refine data collection processes and improve data quality.

  • Design and develop scalable machine learning solutions for various applications.

  • Work with software developers to integrate machine learning models into production systems.

  • Conduct research to identify new approaches and methods for machine learning and AI.

  • Stay updated with the latest trends and advancements in machine learning and AI.

  • Document processes, codes, and workflows for future reference and reproducibility.

  • Provide support and maintenance for deployed machine learning systems.

Qualifications

Required Education:

  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.

Qualifications:

  • Proven experience designing, developing, and deploying OpenAI solutions as a Machine Learning Developer or in a similar role.

  • Strong programming skills in Python, R, C#, Java or similar languages.

  • Experience with deep learning techniques and models.

  • Expertise in natural language processing (NLP) or computer vision.

  • Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.

  • Experience with data preprocessing, data mining, and data visualization techniques.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

  • Familiarity with software development best practices and source control (e.g., Git).

Clearance:

  • Active Secret clearance is required for this position.

REQNUMBER: 2611091

SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

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