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

Software Engineer, Perception

Seattle, WA · On-site

$120K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Senior Applied Scientist, AWS Security

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Do you have a passion for GenAI, machine learning, and/or cybersecurity?! If so, join us in ... Teams within Amazon Active Defense consist of security engineers, data/applied scientists, and ...

Experience applying artificial intelligence, machine learning, or large language model workflows to ... As a Consultant - Cyber Defense and Resilience, you will support the design and deployment of ...

Technical Lead - Distributed Systems

Seattle, WA · On-site

$200K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Software & AI Engineer III

Seattle, WA · On-site

$164K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with machine learning models, deep learning, and large language models * Develop and ... Defense Biometric Identification System (DBIDS) background check if at any time the role requires ...

Software & AI Engineer III

Seattle, WA · On-site

$164K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with machine learning models, deep learning, and large language models * Develop and ... Defense Biometric Identification System (DBIDS) background check if at any time the role requires ...

Forward Deployed Hardware Engineer

Seattle, WA · On-site

$120K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Software Engineer, Platforms

Seattle, WA · On-site

$140K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Cyber Manager - AI SOC

Seattle, WA

$126K - $170K/yr

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Showing results 21-40

Machine Learning Defense information

See Tacoma, WA salary details

$27.4K

$45.7K

$94.5K

How much do machine learning defense jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning defense in Tacoma, WA is $45,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 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 Tacoma, WA?

For Machine Learning Defense jobs in Tacoma, WA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Tacoma, WA look for?

The top searched job categories for Machine Learning Defense jobs in Tacoma, WA are:

What cities near Tacoma, WA are hiring for Machine Learning Defense jobs?

Cities near Tacoma, WA with the most Machine Learning Defense job openings:

Infographic showing various Machine Learning Defense job openings in Tacoma, WA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,732 per year, or $22 per hour.

Principal Program Manager , Selling Partner Trust

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,093 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

We are looking for a Principal Program Manager to join Amazon's Account Integrity team - the front line of defense protecting sellers from account takeover and fraud. This is a high-impact, high-visibility role where you'll lead the Seller Account Takeover charter, driving risk analysis, executing roadmaps, and delivering customer-facing outcomes that directly safeguard the trust of millions of sellers on Amazon's marketplace.
This role is ideal for a builder and strategic operator who thrives in ambiguity, brings strong program management rigor, and can influence across engineering, machine learning, product, and operations teams. You'll zoom out to shape long-term strategy and zoom in to drive execution - earning trust quickly, influencing without authority, and making the teams around you more effective. You will directly manage and develop a small team of Program Managers, guiding their growth and ensuring program delivery excellence across the charter.
Key job responsibilities
Seller Account Takeover Program Leadership
- Own and drive the end-to-end Seller Account Takeover prevention charter, including risk identification, mitigation strategies, and measurable customer-facing outcomes
- Lead risk analysis and threat assessments to stay ahead of evolving bad actor tactics targeting seller accounts
- Define and execute program roadmaps that balance short-term operational needs with long-term strategic investments
Cross-Organizational Initiatives
- Partner with Machine Learning and Science teams on the latest Generative AI and detection tools to combat bad actors at scale
- Collaborate with Product teams to ensure long-term investments in account security are correctly prioritized and sequenced
- Work closely with Risk Mining Operations to identify emerging threats, close gaps, and continuously improve detection and response mechanisms
Operational Excellence
- Drive operational rhythm for the charter, including goal-setting cycles, business reviews, and leadership forums
- Streamline escalation processes and partner workflows to reduce friction and improve response times
- Build scalable mechanisms and frameworks that improve tool automation and operational efficiency
Communications & Visibility
- Author documents and narratives with up to L10 visibility, translating complex security and fraud topics into crisp, audience-appropriate communications
- Own internal and cross-org communications, including leadership updates, business reviews, and all-hands content
- Represent the Account Takeover charter across Amazon, ensuring consistent and compelling storytelling
People Management
- Directly manage and mentor Program Managers, setting clear goals, providing regular feedback, and supporting their career development
- Delegate program workstreams effectively, ensuring your PgMs have the context, tools, and support to deliver independently
A day in the life
No two days are the same on the Account Integrity team - and that's what makes this role exciting. You might start your morning reviewing a real customer anecdote where a seller's account was compromised, working backward from the incident to identify gaps and drive systemic fixes. By mid-morning, you're in a working session with the ML team evaluating the latest Generative AI model designed to detect and block bad actors before they strike.
After lunch, you're streamlining the escalations process - reducing the time it takes to resolve high-severity seller cases and ensuring the right teams are looped in at the right time. Later, you're drafting a document for an L10 business review, distilling complex risk data into a clear narrative that drives alignment on investment priorities. Before the day ends, you connect with Product to review the roadmap for long-term account security investments, and then check in with Risk Mining Operations on the latest automation improvements that are reducing manual toil and improving detection accuracy.
You also carve out time to manage and mentor experienced PgMs - reviewing their progress, unblocking issues, and helping them grow as program leaders.
Every day, you're operating at the intersection of strategy, technology, and operations - making real, measurable impact on the safety of Amazon's seller ecosystem.
About the team
The Account Integrity team is Amazon's shield against unauthorized access - we protect customers and sellers from account takeover and fraud at massive scale. We combine machine learning, operational excellence, and deep risk expertise to stay ahead of bad actors and safeguard the trust that powers Amazon's marketplace.
BASIC QUALIFICATIONS
- 7+ years of working cross functionally with tech and non-tech teams experience
- 7+ years of program or project management experience
- 7+ years of managing, analyzing and communicating results to senior leadership experience
- Bachelor's degree
- Experience implementing repeatable processes and driving automation or standardization
- Experience defining program requirements and using data and metrics to determine improvements
- Experience owning program strategy and end to end delivery
PREFERRED QUALIFICATIONS
- Experience delivering projects within scope, time, budget and quality
- Experience with tools/systems to analyze data including Excel, Access, SQL or other data management systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 137,600.00 - 186,200.00 USD annually

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US