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Machine Learning Defense Jobs in Seattle, WA (NOW HIRING)

Axon

Principal Machine Learning Engineer

Seattle, WA · Hybrid

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Defense domains. What You'll Do Location: Hybrid from Seattle, WA Reports to: Director of ...

Axon

Principal Machine Learning Engineer

Seattle, WA · On-site

... new machine learning models and AI capabilities, leading to better and more responsible AI ... Defense domains. What You'll Do Location: Hybrid from Seattle, WA Reports to: Director of ...

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All JobsMachine Learning Defense JobsMachine Learning Defense Jobs in Seattle, WA

Machine Learning Defense information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do machine learning defense jobs pay per year?

As of Jul 27, 2026, the average yearly pay for machine learning defense in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

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 Seattle, WA? For Machine Learning Defense jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Defense jobs in Seattle, WA look for? The top searched job categories for Machine Learning Defense jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Machine Learning Defense jobs? Cities near Seattle, WA with the most Machine Learning Defense job openings:
Machine Learning Defense jobs near you

Software Engineer, Machine Learning

Overland AI

Seattle, WA • On-site

$120K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

About Overland AI
Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
Role Summary:
We are looking for machine learning experts to join our team to advance the state of off-road autonomy.
Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered.
In this role, you will:
  • Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python).
  • Identify, implement, and respond to meaningful metrics that affect vehicle behavior.
  • Serve as a technical expert for the team balancing short-term deliverables and long-term directions.
  • Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.
Qualifications
  • MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems.
  • Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.
  • Excellent linear algebra, probability theory, and optimization knowledge.
  • Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc.
  • You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines.
  • Ability to obtain and maintain a DOD Security Clearance.
Preferred
  • Knowledgeable in any related technologies such as C++, CUDA, ROS, etc.

Benefits
Overland AI believes in creating a work environment that you look forward to embracing every day.
  • The salary range for this position is $120K to $300K annually
  • Equity compensation
  • Best-in-class healthcare, dental and vision plans.
  • Unlimited PTO
  • 401k with company match
  • Parental leave

Overland AI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, genetic information, protected veteran or military status, or any other status protected by applicable law.
This position may involve access to export-controlled technology. Employment is contingent on the ability to comply with U.S. export control laws.
Overland AI provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. Please contact [peopleops@overland.ai] to request an accommodation.

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