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

Overland AI

Software Engineer - Planning

Seattle, WA · On-site

$200 - $250/hr

... 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 ...

Overland AI

FP&A Analyst

Seattle, WA · On-site

... 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 ...

Overland AI

FP&A Analyst

Seattle, WA · On-site

$100 - $125/hr

... 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 ...

Overland AI

Accounting Manager

Seattle, WA · On-site

$120K - $165K/yr

... 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 ...

U.S. Navy

Linguist

Renton, WA

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

U.S. Navy

Linguist

Redmond, WA

... machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines ... Defense Language Institute, Monterey, California Approximately 48 - 64 weeks Sailors receive ...

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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 Sep 9, 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 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 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 - Planning

Seattle, WA • On-site

Overland AI
See more jobs at Overland AIexternal

$200 - $250/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

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 AIhas secured funding from prominent defense tech investors including 8VC and Point 72, andbuilt 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 seeking a Software Engineer - Planningto design and implement navigational planning algorithms in complex off-road and on-road terrain for unmanned ground vehicles using local sensing. These systems must performin punishing terrain:understanding how to balance fidelity and optimality against computational efficiency and robustness isa mustfor high-speedmovement. The ideal candidate has experience with both classical and learned approaches to solving planning problemsunder uncertainty, experience with unmanned ground vehicles, and an understanding of both the benefits and limitations ofprior maps.

In this role, you will
  • Design and implement planning algorithms for navigating autonomous ground vehicles through complex off-road terrain.
  • Interactfrequentlywithperceptionand control teams to create shared solutions tochallenges.Support rapid integration and adjustment of planning algorithms for a wide variety of vehicles and sensing modalities.
  • Work closely with other teams onsoftware development ofa shared codebase.
  • Leverage a significant corpus of offroad driving data to improveand backstopperformance via regression and progression testing.
  • Participate in field tests and demonstrations / events for product testing and evaluation.
Minimum Qualifications
  • Bachelor's degree in computer science, engineering, or related discipline and 5+ years of relevant experience; OR3+ years of relevant professional experiencewith an advanced degree.
Desired Experience & Qualifications
  • MS degree or PhD preferred.
  • Experience creating planning algorithms to handle changing and uncertain environmentsfor mobile robots.
  • Experiencedesigning systems to work in GPS Denied, Degraded, Intermittent, and Limited (DDIL) environments.
  • Experience with offroad planning for unmanned ground vehicles.
  • Experience with on-road planning in structured environments.
  • Experience working with and / or incorporatingopportunisticpriormapping data.
Location

The location for this position will be onsite in either Seattle, WA or Bay Area, CA.

Pay range

Software Engineer: $160,000 - $190,000 annually

Senior Software Engineer: $200,000 - $230,000 annually

Overland AI believes in creating a work environment that you look forward to embracing every day.

  • Equity Compensation
  • Best-in-class healthcare, dental, and vision plans
  • Flexible PTO
  • 401(k) with company match
  • Paid 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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