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Machine Learning Defense Jobs in Washington (NOW HIRING)

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration ... Defense Cyber Operations (DCO). You will be helping our military defend our cyber security ...

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 ...

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$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 ...

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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 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 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:
What job categories do people searching Machine Learning Defense jobs in Washington look for? The top searched job categories for Machine Learning Defense jobs in Washington are:
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

Machine Learning Engineer

Virtualitics, Inc

Washington, DC

Full-time

Re-posted 23 days ago

Job description

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. 

Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. 

Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves.

If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here.

 
Machine Learning Engineer - US TS/SCI Clearance (DC Metropolitan Area)
 
Virtualitics is trailblazing Intelligent Exploration and Enterprise AI with our cutting-edge AI Platform. We are hiring an ML Engineer with the capability and readiness to obtain a U.S.-government security clearance. This role is pivotal in bridging the worlds of machine learning, data engineering, and software development to enhance our AI data applications. Career advancement opportunities are available for those interested
in senior engineering positions and technical leadership.
 

As an ML Applications Engineer, you will:

  • Spearhead platform upgrades, ensuring our products are at the forefront of innovation and effectiveness.

  • Craft and manage dynamic dashboards using the Virtualitics AI Platform Python SDK, transforming data into intuitive visuals for decision-making.

  • Optimize data access patterns, enhancing the efficiency and performance of our AI solutions.

  • Tackle runtime performance issues, ensuring high responsiveness and stability of applications.

  • Architect robust, scalable, and user-friendly applications, considering current trends and future growth.

  • Collaborate closely with Technical Product Managers to drive usability enhancements, ensuring our products meet and exceed user expectations.

Requirements:

  • A degree in Computer Science or related field, or 4+ years of software engineering experience.

  • Must have a TS/SCI security clearance.

  • Must be willing to travel and work from a SCIF as needed.

  • Proven track record of deploying software into production environments.

  • Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.).

  • Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc).

  • Familiarity with Docker, Kubernetes, and Git.

  • Exceptional problem-solving skills and a keen sense of ownership.

  • Excellent communication skills in English, both written and verbal.

Pluses:

  • Experience in Machine Learning Engineering roles and the end-to-end lifecycle of AI applications, from model development to deployment.

  • Experience with Predictive Maintenance, Supply Chain, Scheduling Optimization, etc.

  • Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc. 

  • 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) or app building kits like Streamlit/Plotly Dash.

Compensation and Benefits:

  • Competitive salary/equity/bonus based on experience and education.

  • Comprehensive benefits package including medical, dental, and vision.

  • Unlimited paid time off.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.