Sr. Applied Scientist, Amazon Cyber Threat Intelligence

We are seeking a Senior Applied Scientist to pioneer the application of artificial intelligence and machine learning to cyber threat intelligence at Amazon this role you will invent and deploy novel AI/ML systems that automate threat detection accelerate intelligence analysis and enable proactive defense capabilities. You will work on ambiguous scientifically-complex problems where traditional engineering approaches fall shortfrom building predictive models that score threat likelihood against Amazons specific attack surface to developing graph neural networks that cluster adversary infrastructure to creating LLM-powered systems that multiply analyst productivity.

This is a unique opportunity to bring scientific rigor to one of the most consequential problem domains in technologyprotecting hundreds of millions of customers and the infrastructure that powers the global economy. You will be the first Applied Scientist embedded within ACTI establishing the science agenda and building the foundation for AI-driven threat intelligence at Amazon.

This position requires that the candidate selected be a US Citizen.


Key job responsibilities
Invent
Identify frame and solve scientifically-complex threat intelligence problems where no textbook solutions existincluding threat scoring malware classification infrastructure clustering and intelligence automation
Drive the scientific agenda for AI/ML within ACTI by proposing research initiatives defining success metrics and securing management buy-in
Extend and invent machine learning techniques for cybersecurity applications including anomaly detection on noisy data few-shot learning for emerging threat families and graph-based reasoning over attacker infrastructure
Publish research at peer-reviewed venues (e.g. USENIX Security IEEE S&P ACM CCS NeurIPS workshops)

Implement
Design build and deploy production AI/ML systems that process threat data at scalefrom model training on petabyte-scale security logs to real-time inference serving millions of predictions daily
Partner with ACTI engineering teams to integrate AI/ML models into existing intelligence platforms
Develop end-to-end solutions including data pipelines feature engineering model training evaluation frameworks and production monitoring
Write production-quality code and deploy models with operational excellencereliability maintainability and cost efficiency

Influence
Influence across multiple ACTI sub-teams and partner organizations
Build consensus on scientific approaches balancing analytical rigor with operational urgency inherent to threat intelligence
Mentor security engineers and analysts on AI/ML concepts helping the broader ACTI team develop data literacy and scientific thinking
Represent ACTI in Amazons internal science community and contribute to the broader information security research ecosystem


About the team
Amazon Cyber Threat Intelligence (ACTI) is responsible for identifying curating and reporting timely accurate and actionable threat intelligence to protect Amazons global businesses and customers. We investigate analyze and defend against sophisticated cyber threats across all Amazon business linesAWS retail entertainment logistics and corporate infrastructure. Our intelligence products serve Amazon and AWS leadership service teams partners and both internal and external customers.

ACTI operates within Amazons broader security organization led by the Chief Security Officer. We deliver intelligence that enables proactive defense informs security investment decisions and supports incident response across the worlds largest cloud infrastructure.

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.

Inclusive Team Culture
In Amazon Security its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve.

- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- 5 years of relevant broad research experience after PhD (or equivalent body of work demonstrating scientific innovation)
- Experience deploying AI/ML models into production systems with direct verified customer impact
- Experience in one or more: NLP/LLMs graph neural networks anomaly detection deep learning or probabilistic modeling
- Software development skills
- Publication record (including NeurIPS ICML ICLR ACL EMNLP KDD USENIX Security IEEE S&P or equivalent)

- Experience applying AI/ML to cybersecurity problems
- Ability to independently frame ambiguous problems define research agendas and deliver results with limited guidance
- Familiarity with threat intelligence frameworks and security operations concepts
- Experience with large-scale graph analytics knowledge graphs or graph neural networks
- Experience building and deploying LLM/GenAI applications (RAG systems fine-tuning prompt engineering at scale)
- Familiarity with ML frameworks such as PyTorch TensorFlow or JAX)
- Proficiency with AWS services (SageMaker Bedrock EMR Glue Lambda S3)

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 for more information. If the country/region youre applying in isnt 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 MD Annapolis Junction - 167100.00 - 226100.00 USD annually
USA NY New York - 183800.00 - 248700.00 USD annually
USA TX Austin - 167100.00 - 226100.00 USD annually
USA VA Arlington - 167100.00 - 226100.00 USD annually
USA WA Seattle - 167100.00 - 226100.00 USD annually