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Machine Learning Defense Jobs in Washington (NOW HIRING)

SOSi

Machine Learning Engineer- Senior

Chantilly, VA

$125K - $165K/yr

... defense and government services industry. We deliver tailored solutions, tested leadership, and ... Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ...

AeroVironment

Machine Learning Engineer II

Centreville, VA · On-site

$102K - $144K/yr

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

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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.
What are popular job titles related to Machine Learning Defense jobs in Washington? For Machine Learning Defense jobs in Washington, the most frequently searched job titles are:
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What cities in Washington are hiring for Machine Learning Defense jobs? Cities in Washington with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you

Machine Learning Engineer- Senior

SOSi

Chantilly, VA

$125K - $165K/yr

Full-time

Posted 17 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

Overview

SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights.

Essential Job Duties

  • Leverage data science and machine learning processes to answer mission challenges.
  • Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible
  • Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. 
  • Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment.
  • Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines.
  • Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making.
Qualifications

Minimum Requirements

  • Existing TS/SCI (with poly).  This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
  • Minimum 5 years of experience in a data science/engineer role.
  • Experience developing and using agentic AI frameworks including Autogen. 
  • Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing.  
  • Experience with asynchronous Python development using frameworks like Ray and FastAPI. 
  • Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability.  
  • Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. 
  • Deploying models into multi-node Ray clusters utilizing various GPU resources. 
  • Experience with developing and deploying resources to cloud environments.  
  • Experience working in Linux and Windows environments and managing resources for efficiency. 
  • Demonstrated ETL expertise.

Preferred Qualifications

  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
  • Experience in the US Intelligence Community.
Additional Information

Work Environment

  • Office setting with a combination of desk work and meetings.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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