Sr. Applied Scientist, Amazon Cyber Threat Intelligence

About the role

We are seeking a Senior Applied Scientist to pioneer the application of artificial intelligence and machine learning to cyber threat intelligence at Amazon scale. In this role, you will invent and deploy novel AI/ML systems that automate threat detection, accelerate intelligence analysis, and enable proactive defense capabilities.

Responsibilities

In this role, you will:

• Invent, frame, and solve scientifically-complex threat intelligence problems where no textbook solutions exist—including 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
• Implement, design, build, and deploy production AI/ML systems that process threat data at scale
• Partner with ACTI engineering teams to integrate AI/ML models into existing intelligence platforms
• Influence across multiple ACTI sub-teams and partner organizations, building consensus on scientific approaches and mentoring security engineers and analysts on AI/ML concepts

Requirements

The ideal candidate will have:

• A 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 and a publication record (including NeurIPS, ICML, ICLR, ACL, EMNLP, KDD, USENIX Security, IEEE S&P, or equivalent)

Preferred Qualifications

Preferred qualifications include:

• 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)

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. The base salary range for this position is $167,100.00 - $226,100.00 USD annually, depending on location, with additional sign-on payments and restricted stock units (RSUs).