Applied Scientist III, AI & AGI Security

Amazon Inc.; New York (NY); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon is seeking an Applied Scientist III in AI & AGI Security to advance research and develop scalable security validation and monitoring for AI systems. You will own multiple workstreams including real-time agent monitoring, automated remediation, validation of AI capabilities, and asset discovery across the company.

The role involves framing new research challenges, publishing results, and delivering scientifically complex security solutions into production, with significant coding for

Qualifications

• 5+ years building ML models for business applications.
• PhD or Master’s degree with 6+ years of applied research.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and ML.

Responsibilities

• Identify and frame new AI security research challenges requiring novel scientific approaches.
• Contribute to the team’s scientific agenda across monitoring, protection, remediation, validation, and asset discovery.
• Publish research results at peer‑reviewed internal and external venues when appropriate.
• Articulate scientific challenges of AI security threats and deliver novel research to address them.
• Design and deliver production-grade security solutions, including new systems or evolutions of existing ones.

Skills

Machine Learning

Java

C++

Python

Deep Learning

Research

Education

PhD or Master’s + 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Applied Scientist III, AI & AGI Security

Job ID: 10564283 | Amazon.com Services LLC

We are seeking an Applied Scientist to contribute to the research and development of novel security validation and monitoring techniques for AI systems at scale. You will own and contribute to four critical work-streams:

• Real-Time Agent Monitoring: Design and implement scientific approaches for continuous behavioral analysis of AI agents in production—detecting anomalous actions, prompt injection exploitation, and policy violations in real time.
• Protection & Automated Remediation: Invent and deliver novel protection technologies and automated remediation techniques, building on research in security, cryptography, privacy, automated reasoning, and other domains, to enable safe and secure agentic AI models and AI applications.
• AI Application and Capabilities Validation: Invent and deliver scalable methodologies for security testing of AI applications and AI capabilities (e.g. MCP, skills), including adversarial robustness evaluation, safety guardrail bypass detection, tool-use authorization boundaries, and trust boundary verification.
• AI Asset Discovery & Inventory: Research and build scalable techniques to discover, identify, and catalog automatically all AI-enabled applications, services, and capabilities across the company—maintaining a comprehensive, continuously updated database of AI assets.

Key job responsibilities

• Identify and frame new research challenges in AI security where problems are ill-defined and require novel scientific paradigms at the product level.
• Contribute to the team's scientific agenda for agent monitoring, protection, remediation, validation research, and AI asset discovery.
• Publish research results at peer-reviewed internal and external venues (e.g., USENIX Security, ACM CCS, IEEE S&P, NeurIPS, ICML security workshops, ICSE, PETS) when appropriate.
• Articulate key scientific challenges of current and future AI security threats and deliver novel research to address them.
• Design, implementation, and successful delivery of scientifically complex security solutions into production—both brand new systems and evolutions of existing ones.
• Write significant portions of critical-path code for detection models, validation engines, protection technologies, and asset discovery / classification systems.
• Assess and select appropriate technologies (e.g., data protection, private inference, graph-based anomaly detection, NLP-based service classification, code/traffic analysis for AI fingerprinting) for production systems.
• Use best practices in scientific methodology and software engineering across the team; provide insightful peer reviews of code, design, and architecture artifacts.
• Deliver solutions that are inventive, maintainable, scalable, and extensible.
• Autonomously drive discussions with security engineers, software engineers, product managers, and scientist peers across multiple teams.
• Build consensus on larger cross-team security initiatives and factor complex efforts into independent workstreams.
• Identify and resolve endemic problems, including areas where current security tooling limits innovation of partner teams.
• Contribute to the broader internal and external scientific communities as a subject matter expert in AI security.

Basic Qualifications

• 5+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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, NY, New York - 183,800.00 - 248,700.00 USD annually