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Added 17 mins ago
Senior Machine Learning Engineer (Casualty / Claims Intelligence)
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Remote, United States
As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions.
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Head of Product
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Amazon

Sr Security Engineer, Leo Security

Herndon, VA, United States
Arlington, VA, United States

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Job details

Posting language: English
Posted: Sep 11, 2026

Original job description

Description

Amazon Leo is a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world.

We are looking for a senior security engineer to join the founding cohort of the Engineering and R&D team within Leo Infrastructure and IP Security. The team defends the manufacturing lines, launch sites, and global ground infrastructure behind the constellation from the most sophisticated threat actors on the planet. The team builds a neurosymbolic reasoning platform: large language model agents combined with a knowledge graph and real-time asset state store that ground every conclusion in verifiable fact, so every automated decision is auditable. You will be the security owner for that platform. A system that can triage security events, execute containment, and act on physical security is itself a high-value target, and this role exists so the team that secures Leo does not ship its own unowned risk. This is a hands-on role for a technical contributor with deep expertise in offensive security who understands how to use AI on both sides: directing agents to test Leo's defenses the way an adversary would, and hardening the platform's own agents against the same techniques.

#### Export Control Requirement

Due to applicable export control laws and regulations, candidates must be a U.S. citizen.

Key job responsibilities

You will be the single accountable security owner for every system the team builds and operates, from the agent platform and detection pipeline to the data plane and self-service workflows. You will lead threat modeling and secure-design review on each system before it takes autonomous action, thinking like an adversary to find the weaknesses in agent tool access, prompt and data injection paths, and containment authority before someone else does. You will design the privileged-access and insider-risk controls for systems that hold the keys to Leo physical security: the who-watches-the-watchers guarantee. You will translate threat intelligence into the adversary behaviors that drive the team's models and detections, partnering with applied scientists on what to detect and with software engineers on how the platform defends itself. You will use AI to scale both offense and defense: directing the platform's agents to run offensive validation against Leo's infrastructure and against the platform itself, and turning what the offense finds into detections, guardrails, and controls. You will drive every finding, whether from your own testing, penetration tests, or red-team engagements, to closure, with security gates built into the team's own delivery cadence rather than bolted on after.

A day in the life

One morning you might threat model a new agent capability before it graduates to automated execution, mapping what an adversary could do with its tools and where its authority must be constrained. That afternoon you could be red-teaming the platform's reasoning layer, crafting inputs that try to steer an agent into an action it should refuse. The next day you might take fresh threat intelligence, distill it into the adversary behaviors the scientists should model next, then review the access boundaries and audit evidence on a new data source before it is ingested. You will communicate security posture, risks, and strategic priorities to senior leadership with clarity and precision. You will question every trust relationship the platform depends on, hold the security bar steady against delivery pressure, and treat the team's own systems with the same adversarial rigor the team applies to everything else.

About the team

Leo Infrastructure and IP Security protects the people, facilities, hardware, and supply chain behind a global satellite constellation. The Engineering and R&D team within this organization builds the platforms and tooling the security pillar teams operate on, moving security operations from manual triage to correlation-based detection, automated response, and agentic AI. The team is composed of applied scientists, software engineers, and security engineers working across physical and digital security domains.

#### Inclusive Team Culture

In Amazon Security, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.

#### Training & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.

#### Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.

Basic Qualifications

2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience
Experience in progressive work within a software security team or related operating environment
Experience architecting, securing, and operating Amazon Web Services
Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or 5+ years of scripting, programming, or security code review in a common language, such as Python, Java or C++ experience

•

5+ years of non-internship experience in troubleshooting systems issues, analyzing logs, automating complex tasks using command line tools, and identifying security issues, risks, and developing mitigation plans

•

Experience with offensive security, including penetration testing, red teaming, or adversarial testing of production systems

Preferred Qualifications

Experience conveying complex technical concepts to both technical and business audiences

•

Understanding of threat actor tradecraft and ability to emulate sophisticated attack techniques

•

Experience with AI/ML security, including threats to AI systems, adversarial machine learning, prompt injection, or AI supply chain security

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Experience applying AI to security work, including agentic tooling for offensive testing, detection engineering, or automated response

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Experience with Red Team operations, threat-based assessments, or security research programs

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Track record of building security tools or automation that scales across organizations

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Experience designing privileged-access and insider-risk controls for high-consequence systems

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Experience with security in regulated or export-controlled environments, including data-handling boundaries and audit evidence

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Experience translating threat intelligence into detections, adversary emulation, or threat hunting

•

Contributions to security research community through publications, presentations, or open-source tools

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, VA, Arlington - 178,400.00 - 226,700.00 USD annually

USA, VA, Herndon - 178,400.00 - 226,700.00 USD annually

USA, WA, Seattle - 178,400.00 - 226,700.00 USD annually

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More about this job

Skills

Supply chain management
Software development
System administration
Python
Oracle Java
C++
Troubleshooting
Penetration testing
ML
Machine learning
Research
Presentation skills
Recruitment
Mental health

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