Applied Scientist: Cloud Security & ML

Amazon Science; Arlington (VA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Science is seeking an Applied Scientist to leverage advanced analytics and machine learning to protect AWS cloud infrastructure from security threats. You will develop anomaly detection models, predictive algorithms, and real-time analysis systems to identify and mitigate cyber threats across Amazon's infrastructure.

You will collaborate with software engineers, security engineers, and fellow scientists to build scalable security solutions using AWS tools like SageMaker and EMR.

Qualifications

• 3+ years of building models for business applications.
• Master's or PhD in CS/CE/ML with 4+ years of experience.
• Experience with patents or publications at top-tier conferences or journals.
• Programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed computing, HPC.
• Unix/Linux experience and professional software development.

Responsibilities

• Running experiments to assess potential risk of security responses.
• Expanding our existing LLM agent pipelines
• Analyzing post mortems to understand data signals could have prevented the occurence

Skills

Java

C++

Python

Data mining

Algorithms

Parallel computing

High-performance computing

Unix/Linux

Software development

Education

Master's or PhD in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Science is seeking an Applied Scientist to leverage advanced analytics and machine learning to protect AWS cloud infrastructure from security threats. You will develop anomaly detection models, predictive algorithms, and real-time analysis systems to identify and mitigate cyber threats across Amazon's infrastructure.

You will collaborate with software engineers, security engineers, and fellow scientists to build scalable security solutions using AWS tools like SageMaker and EMR.